Code
library(fightr)Week 27: UFC Athletes and Fight Data
fightr
sport
Setup + explore EDA options
Explore fightr Package
Trying package code examples.
Read data
Code
# Loads from local cache, fetching updates automatically if needed
athletes <- get_ufc_data("ufc_athletes")
fights <- get_ufc_data("ufc_fights")
# Force a manual refresh of all datasets
update_all_ufc_data()Estimation Method 1: bradley-terry
Code
matchup_model <- model_fight_outcome(
fighter1 = "Islam Makhachev",
fighter2 = "Alexander Volkanovski",
method_type = "bradley-terry"
)
# The function returns an S3 object containing the fitted model and predictions
print(matchup_model$method_probs) Fighter Method estimate
1 Islam Makhachev KO/TKO 0.09284808
2 Islam Makhachev Submission 0.24140501
3 Islam Makhachev Decision 0.18569616
4 Alexander Volkanovski KO/TKO 0.22288070
5 Alexander Volkanovski Submission 0.05143401
6 Alexander Volkanovski Decision 0.20573603Code
# Extract and display the probability chart
matchup_model$plot
Estimation Method 2: multinomial
Code
matchup_model <- model_fight_outcome(
fighter1 = "Islam Makhachev",
fighter2 = "Alexander Volkanovski",
method_type = "multinomial"
)
# The function returns an S3 object containing the fitted model and predictions
print(matchup_model$method_probs) Fighter Method estimate
1 Islam Makhachev Decision 0.24016115
2 Islam Makhachev KO/TKO 0.08910926
3 Islam Makhachev Submission 0.24244665
4 Alexander Volkanovski Decision 0.17741401
5 Alexander Volkanovski KO/TKO 0.23618037
6 Alexander Volkanovski Submission 0.01468855Code
# Extract and display the probability chart
matchup_model$plot
Estimation Method 2: thurstone-mosteller
Code
matchup_model <- model_fight_outcome(
fighter1 = "Islam Makhachev",
fighter2 = "Alexander Volkanovski",
method_type = "thurstone-mosteller"
)
# The function returns an S3 object containing the fitted model and predictions
print(matchup_model$method_probs) Fighter Method estimate
1 Islam Makhachev KO/TKO 0.09290735
2 Islam Makhachev Submission 0.24155910
3 Islam Makhachev Decision 0.18581470
4 Alexander Volkanovski KO/TKO 0.22272661
5 Alexander Volkanovski Submission 0.05139845
6 Alexander Volkanovski Decision 0.20559379Code
# Extract and display the probability chart
matchup_model$plot
Probability Charts. The three probability charts shows that the probability that Alexander Volkanovski wins Islam Makhachev using KO/TKO is ~22%, using Submission is no more than 6%, and using Decision is ~20%.
Technical Details. The function get_ufc_data exists in R/update_ufc_data.R. The function reads data stored as RData from data/. These files get downloaded and cleaned via a set of Shell, R and Python scripts stored in scripts/. These scripts are executed periodically using GitHub workflow actions as specified in the yml files in .github/workflows/.
EDA
ufc_athletes (3145,43)
| Variable | Stats / Values | Freqs (% of Valid) | Graph | Missing |
|---|---|---|---|---|
| name [character] |
1. Bruno Silva 2. Casey Kenney 3. Joey Gomez 4. Keiichiro Nakamura 5. Richie Vaculik 6. Aalon Cruz 7. Aaron Brink 8. Aaron Jeffery 9. Aaron Phillips 10. Aaron Pico [ 3130 others ] |
2 ( 0.1%) 2 ( 0.1%) 2 ( 0.1%) 2 ( 0.1%) 2 ( 0.1%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 3130 (99.5%) |
IIIIIIIIIIIIIIIIIII |
0 (0.0%) |
| nickname [character] |
1. The Beast 2. The Hammer 3. The Sniper 4. The Spartan 5. The Lion 6. The Machine 7. The Assassin 8. The Joker 9. The Menace 10. The Predator [ 1517 others ] |
8 ( 0.4%) 8 ( 0.4%) 8 ( 0.4%) 8 ( 0.4%) 7 ( 0.4%) 7 ( 0.4%) 6 ( 0.3%) 6 ( 0.3%) 6 ( 0.3%) 6 ( 0.3%) 1820 (96.3%) |
IIIIIIIIIIIIIIIIIII |
1255 (39.9%) |
| weight_class [character] |
1. Lightweight 2. Welterweight 3. Middleweight 4. Featherweight 5. Heavyweight 6. Bantamweight 7. Light Heavyweight 8. Flyweight 9. Women’s Strawweight 10. Women’s Flyweight [ 2 others ] |
495 (16.1%) 482 (15.7%) 411 (13.4%) 318 (10.4%) 318 (10.4%) 311 (10.1%) 246 ( 8.0%) 186 ( 6.1%) 123 ( 4.0%) 92 ( 3.0%) 90 ( 2.9%) |
III III II II II II I I |
73 (2.3%) |
| url [character] |
1. https://www.ufc.com/athle 2. https://www.ufc.com/athle 3. https://www.ufc.com/athle 4. https://www.ufc.com/athle 5. https://www.ufc.com/athle 6. https://www.ufc.com/athle 7. https://www.ufc.com/athle 8. https://www.ufc.com/athle 9. https://www.ufc.com/athle 10. https://www.ufc.com/athle [ 3135 others ] |
1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 3135 (99.7%) |
IIIIIIIIIIIIIIIIIII |
0 (0.0%) |
| profile_name [character] |
1. Bruno Silva 2. Casey Kenney 3. Joey Gomez 4. Keiichiro Nakamura 5. Richie Vaculik 6. Aalon Cruz 7. Aaron Brink 8. Aaron Jeffery 9. Aaron Phillips 10. Aaron Pico [ 3130 others ] |
2 ( 0.1%) 2 ( 0.1%) 2 ( 0.1%) 2 ( 0.1%) 2 ( 0.1%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 3130 (99.5%) |
IIIIIIIIIIIIIIIIIII |
0 (0.0%) |
| profile_nickname [character] |
1. The Beast 2. The Hammer 3. The Sniper 4. The Spartan 5. The Lion 6. The Machine 7. The Assassin 8. The Joker 9. The Menace 10. The Predator [ 1517 others ] |
8 ( 0.4%) 8 ( 0.4%) 8 ( 0.4%) 8 ( 0.4%) 7 ( 0.4%) 7 ( 0.4%) 6 ( 0.3%) 6 ( 0.3%) 6 ( 0.3%) 6 ( 0.3%) 1820 (96.3%) |
IIIIIIIIIIIIIIIIIII |
1255 (39.9%) |
| status [character] |
1. Active 2. Not Fighting 3. Retired |
936 (30.0%) 2077 (66.6%) 106 ( 3.4%) |
IIIIII IIIIIIIIIIIII |
26 (0.8%) |
| place_of_birth [character] |
1. United States 2. Brazil 3. Japan 4. Los Angeles, United State 5. South Korea 6. Rio de Janeiro, Brazil 7. Russia 8. Australia 9. Chicago, United States 10. Houston, United States [ 1324 others ] |
391 (13.2%) 88 ( 3.0%) 50 ( 1.7%) 33 ( 1.1%) 28 ( 0.9%) 27 ( 0.9%) 27 ( 0.9%) 19 ( 0.6%) 18 ( 0.6%) 18 ( 0.6%) 2267 (76.4%) |
II IIIIIIIIIIIIIII |
179 (5.7%) |
| age [numeric] |
Mean (sd) : 36.07 (7.06) min < med < max: 20 < 35 < 80 IQR (CV) : 9 (0.2) |
46 distinct values | : : : : : : : : : : : : : : . |
262 (8.3%) |
| height [numeric] |
Mean (sd) : 65.8 (17.28) min < med < max: 0 < 70 < 84 IQR (CV) : 6 (0.26) |
41 distinct values | : : : . : . : : . |
279 (8.9%) |
| weight [numeric] |
Mean (sd) : 157.84 (50.95) min < med < max: 0 < 156 < 415 IQR (CV) : 49 (0.32) |
301 distinct values | : : : : : : : . . : : : . |
113 (3.6%) |
| octagon_debut [Date] |
min : 1993-11-12 med : 2016-12-10 max : 2049-10-05 range : 55y 10m 23d |
759 distinct values | : : . : : : : : : : : : : : : : : |
0 (0.0%) |
| sig_strikes_landed [numeric] |
Mean (sd) : 251.27 (318.2) min < med < max: 0 < 131.5 < 3681 IQR (CV) : 287 (1.27) |
797 distinct values | : : : : : . |
289 (9.2%) |
| sig_strikes_attempted [numeric] |
Mean (sd) : 559.6 (701.26) min < med < max: 1 < 292.5 < 7647 IQR (CV) : 637.5 (1.25) |
1226 distinct values | : : : : : : . |
289 (9.2%) |
| sig_str_landed [numeric] |
Mean (sd) : 3.2 (1.71) min < med < max: 0 < 3.05 < 15.67 IQR (CV) : 2.04 (0.54) |
672 distinct values | : . : : : : : : : . : : : : . |
281 (8.9%) |
| sig_str_absorbed [numeric] |
Mean (sd) : 3.88 (2.45) min < med < max: 0 < 3.46 < 52.5 IQR (CV) : 1.98 (0.63) |
721 distinct values | : : : : : : |
281 (8.9%) |
| takedown_avg [numeric] |
Mean (sd) : 1.48 (1.72) min < med < max: 0 < 1.02 < 24.11 IQR (CV) : 1.94 (1.16) |
521 distinct values | : : : : : : |
281 (8.9%) |
| submission_avg [numeric] |
Mean (sd) : 0.6 (1.18) min < med < max: 0 < 0.23 < 21.95 IQR (CV) : 0.8 (1.98) |
323 distinct values | : : : : : |
281 (8.9%) |
| sig_str_defense [numeric] |
Mean (sd) : 0.52 (0.11) min < med < max: 0.04 < 0.53 < 1 IQR (CV) : 0.13 (0.2) |
76 distinct values | . : : : : : . : : : . : : : : |
293 (9.3%) |
| takedown_defense [numeric] |
Mean (sd) : 0.62 (0.21) min < med < max: 0.06 < 0.63 < 1 IQR (CV) : 0.27 (0.34) |
88 distinct values | : : . : . . : : : : . : : : : : : : : . : : : : : : : : |
737 (23.4%) |
| knockdown_avg [numeric] |
Mean (sd) : 0.34 (1.12) min < med < max: 0 < 0 < 39.13 IQR (CV) : 0.42 (3.29) |
214 distinct values | : : : : : |
281 (8.9%) |
| average_fight_time [character] |
1. 15M 0S 2. 0S 3. 10M 0S 4. 10M 52S 5. 10M 44S 6. 12M 25S 7. 10M 41S 8. 11M 28S 9. 11M 4S 10. 9M 23S [ 789 others ] |
321 (10.4%) 230 ( 7.4%) 13 ( 0.4%) 12 ( 0.4%) 11 ( 0.4%) 11 ( 0.4%) 10 ( 0.3%) 10 ( 0.3%) 10 ( 0.3%) 10 ( 0.3%) 2456 (79.4%) |
II I IIIIIIIIIIIIIII |
51 (1.6%) |
| takedowns_attempted [numeric] |
Mean (sd) : 21.64 (28.6) min < med < max: 1 < 12 < 338 IQR (CV) : 23 (1.32) |
144 distinct values | : : : : : : |
585 (18.6%) |
| fighting_style [character] |
1. MMA 2. Striker 3. Freestyle 4. Jiu-Jitsu 5. Muay Thai 6. Kickboxer 7. Boxing 8. Brazilian Jiu-Jitsu 9. Grappler 10. Wrestling [ 9 others ] |
355 (32.0%) 162 (14.6%) 155 (14.0%) 71 ( 6.4%) 65 ( 5.9%) 49 ( 4.4%) 42 ( 3.8%) 39 ( 3.5%) 32 ( 2.9%) 30 ( 2.7%) 111 (10.0%) |
IIIIII II II I I I |
2034 (64.7%) |
| reach [numeric] |
Mean (sd) : 71.63 (4.3) min < med < max: 58.5 < 72 < 84.5 IQR (CV) : 5.5 (0.06) |
51 distinct values | : : : : . : : . . : : : : : . : : : : : : . |
1131 (36.0%) |
| leg_reach [numeric] |
Mean (sd) : 40.01 (2.68) min < med < max: 32 < 40 < 74 IQR (CV) : 4 (0.07) |
34 distinct values | : : . : : : : : : |
1411 (44.9%) |
| takedowns_landed [numeric] |
Mean (sd) : 7.02 (10.1) min < med < max: 1 < 3 < 90 IQR (CV) : 7 (1.44) |
53 distinct values | : : : : : . |
2191 (69.7%) |
| trains_at [character] |
1. American Top Team 2. Xtreme Couture - Las Vega 3. American Top Team ATT Coc 4. Syndicate MMA 5. Joel Diaz Boxing 6. Sanford MMA 7. Nova Uniao - Rio de Janei 8. Team Alpha Male 9. City Kickboxing 10. Kill Cliff FC [ 627 others ] |
39 ( 3.4%) 32 ( 2.8%) 31 ( 2.7%) 21 ( 1.8%) 18 ( 1.6%) 14 ( 1.2%) 13 ( 1.1%) 13 ( 1.1%) 12 ( 1.0%) 12 ( 1.0%) 952 (82.3%) |
IIIIIIIIIIIIIIII |
1988 (63.2%) |
| wins [numeric] |
Mean (sd) : 11.64 (8.69) min < med < max: 0 < 11 < 88 IQR (CV) : 11 (0.75) |
53 distinct values |
|
0 (0.0%) |
| losses [numeric] |
Mean (sd) : 4.45 (3.77) min < med < max: 0 < 4 < 24 IQR (CV) : 4 (0.85) |
25 distinct values | : : : : : : : : : : : : : . |
0 (0.0%) |
| draws [numeric] |
Mean (sd) : 0.17 (0.58) min < med < max: 0 < 0 < 10 IQR (CV) : 0 (3.49) |
0 : 2766 (87.9%) 1 : 301 ( 9.6%) 2 : 57 ( 1.8%) 3 : 6 ( 0.2%) 4 : 4 ( 0.1%) 5 : 3 ( 0.1%) 6 : 2 ( 0.1%) 7 : 5 ( 0.2%) 10 : 1 ( 0.0%) |
IIIIIIIIIIIIIIIII I |
0 (0.0%) |
| standing_count [numeric] |
Mean (sd) : 169.11 (243.93) min < med < max: 0 < 76 < 3247 IQR (CV) : 205 (1.44) |
659 distinct values | : : : : : . |
51 (1.6%) |
| standing_pct [numeric] |
Mean (sd) : 0.64 (0.28) min < med < max: 0 < 0.72 < 1 IQR (CV) : 0.33 (0.44) |
99 distinct values | : : . : : . . . : : : : : : : : : : : : . . : : : : : : : |
51 (1.6%) |
| clinch_count [numeric] |
Mean (sd) : 31.53 (48.11) min < med < max: 0 < 13 < 543 IQR (CV) : 36 (1.53) |
220 distinct values | : : : : : . |
51 (1.6%) |
| clinch_percent [numeric] |
Mean (sd) : 0.14 (0.14) min < med < max: 0 < 0.11 < 1 IQR (CV) : 0.15 (1) |
78 distinct values | : : : : : : . : : : . . |
51 (1.6%) |
| ground_count [numeric] |
Mean (sd) : 31.31 (52.02) min < med < max: 0 < 11 < 523 IQR (CV) : 38 (1.66) |
240 distinct values | : : : : : . |
51 (1.6%) |
| ground_percent [numeric] |
Mean (sd) : 0.13 (0.16) min < med < max: 0 < 0.08 < 1 IQR (CV) : 0.18 (1.22) |
89 distinct values | : : : : . : : : . . |
51 (1.6%) |
| ko_tko_win [numeric] |
Mean (sd) : 3.41 (4.25) min < med < max: 0 < 2 < 28 IQR (CV) : 6 (1.25) |
26 distinct values | : : : : : . : : : . . |
51 (1.6%) |
| ko_tko_percent [numeric] |
Mean (sd) : 0.25 (0.27) min < med < max: 0 < 0.17 < 1 IQR (CV) : 0.45 (1.1) |
91 distinct values | : : : : : . : : : . . . |
51 (1.6%) |
| dec_wins [numeric] |
Mean (sd) : 2.55 (3.44) min < med < max: 0 < 1 < 32 IQR (CV) : 4 (1.35) |
26 distinct values | : : : : . : : . |
51 (1.6%) |
| dec_percent [numeric] |
Mean (sd) : 0.18 (0.2) min < med < max: 0 < 0.11 < 1 IQR (CV) : 0.32 (1.17) |
83 distinct values | : : : : . : : : : : . |
51 (1.6%) |
| sub_wins [numeric] |
Mean (sd) : 2.43 (3.57) min < med < max: 0 < 1 < 47 IQR (CV) : 4 (1.47) |
26 distinct values | : : : : : : |
51 (1.6%) |
| sub_percent [numeric] |
Mean (sd) : 0.17 (0.22) min < med < max: 0 < 0.06 < 1 IQR (CV) : 0.31 (1.29) |
87 distinct values | : : : : : : : : . . |
51 (1.6%) |
ufc_fights (8736,15)
| Variable | Stats / Values | Freqs (% of Valid) | Graph | Missing |
|---|---|---|---|---|
| fight_url [character] |
1. http://www.ufcstats.com/f 2. http://www.ufcstats.com/f 3. http://www.ufcstats.com/f 4. http://www.ufcstats.com/f 5. http://www.ufcstats.com/f 6. http://www.ufcstats.com/f 7. http://www.ufcstats.com/f 8. http://www.ufcstats.com/f 9. http://www.ufcstats.com/f 10. http://www.ufcstats.com/f [ 8726 others ] |
1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 8726 (99.9%) |
IIIIIIIIIIIIIIIIIII |
0 (0.0%) |
| event_name [character] |
1. UFC 2: No Way Out 2. UFC 259: Blachowicz vs. A 3. UFC 283: Teixeira vs. Hil 4. UFC 286: Edwards vs. Usma 5. UFC Fight Night: Aspinall 6. UFC Fight Night: Whittake 7. UFC 263: Adesanya vs. Vet 8. UFC 267: Blachowicz vs. T 9. UFC 268: Usman vs. Coving 10. UFC 269: Oliveira vs. Poi [ 767 others ] |
15 ( 0.2%) 15 ( 0.2%) 15 ( 0.2%) 15 ( 0.2%) 15 ( 0.2%) 15 ( 0.2%) 14 ( 0.2%) 14 ( 0.2%) 14 ( 0.2%) 14 ( 0.2%) 8590 (98.3%) |
IIIIIIIIIIIIIIIIIII |
0 (0.0%) |
| date [Date] |
min : 1994-03-11 med : 2017-11-18 max : 2026-06-27 range : 32y 3m 16d |
772 distinct values | . . . : : : : : : : : : : : : : : : : . . . : : : : : : : |
0 (0.0%) |
| location [character] |
1. Las Vegas, Nevada, USA 2. Abu Dhabi, Abu Dhabi, Uni 3. London, England, United K 4. Newark, New Jersey, USA 5. Houston, Texas, USA 6. New York City, New York, 7. Anaheim, California, USA 8. Mexico City, Distrito Fed 9. Chicago, Illinois, USA 10. Montreal, Quebec, Canada [ 163 others ] |
2974 (34.0%) 247 ( 2.8%) 196 ( 2.2%) 140 ( 1.6%) 122 ( 1.4%) 113 ( 1.3%) 107 ( 1.2%) 96 ( 1.1%) 93 ( 1.1%) 93 ( 1.1%) 4555 (52.1%) |
IIIIII IIIIIIIIII |
0 (0.0%) |
| f1_name [character] |
1. Jim Miller 2. Andrei Arlovski 3. Clay Guida 4. Demian Maia 5. Donald Cerrone 6. Neil Magny 7. Diego Sanchez 8. Derrick Lewis 9. Cub Swanson 10. Dustin Poirier [ 1987 others ] |
37 ( 0.4%) 32 ( 0.4%) 25 ( 0.3%) 25 ( 0.3%) 25 ( 0.3%) 25 ( 0.3%) 24 ( 0.3%) 23 ( 0.3%) 22 ( 0.3%) 22 ( 0.3%) 8476 (97.0%) |
IIIIIIIIIIIIIIIIIII |
0 (0.0%) |
| f1_result [character] |
1. D 2. L 3. NC 4. W |
65 ( 0.7%) 3083 (35.3%) 91 ( 1.0%) 5497 (62.9%) |
IIIIIII IIIIIIIIIIII |
0 (0.0%) |
| f2_name [character] |
1. Jeremy Stephens 2. Charles Oliveira 3. Angela Hill 4. Gerald Meerschaert 5. Rafael Dos Anjos 6. Michal Oleksiejczuk 7. Sean Strickland 8. Andre Fili 9. Bruno Silva 10. Kelvin Gastelum [ 2518 others ] |
22 ( 0.3%) 21 ( 0.2%) 19 ( 0.2%) 18 ( 0.2%) 18 ( 0.2%) 17 ( 0.2%) 16 ( 0.2%) 15 ( 0.2%) 15 ( 0.2%) 15 ( 0.2%) 8560 (98.0%) |
IIIIIIIIIIIIIIIIIII |
0 (0.0%) |
| f2_result [character] |
1. D 2. L 3. NC 4. W |
65 ( 0.7%) 5497 (62.9%) 91 ( 1.0%) 3083 (35.3%) |
IIIIIIIIIIII IIIIIII |
0 (0.0%) |
| weight_class [character] |
1. Lightweight Bout 2. Welterweight Bout 3. Middleweight Bout 4. Featherweight Bout 5. Bantamweight Bout 6. Heavyweight Bout 7. Light Heavyweight Bout 8. Flyweight Bout 9. Women’s Strawweight Bout 10. Women’s Flyweight Bout [ 113 others ] |
1404 (16.1%) 1332 (15.2%) 1093 (12.5%) 836 ( 9.6%) 753 ( 8.6%) 710 ( 8.1%) 695 ( 8.0%) 390 ( 4.5%) 348 ( 4.0%) 260 ( 3.0%) 915 (10.5%) |
III III II I I I I II |
0 (0.0%) |
| method [character] |
1. Could Not Continue 2. Decision - Majority 3. Decision - Split 4. Decision - Unanimous 5. DQ 6. KO/TKO 7. Other 8. Overturned 9. Submission 10. TKO - Doctor’s Stoppage |
33 ( 0.4%) 104 ( 1.2%) 827 ( 9.5%) 3145 (36.0%) 23 ( 0.3%) 2753 (31.5%) 2 ( 0.0%) 59 ( 0.7%) 1694 (19.4%) 96 ( 1.1%) |
I IIIIIII IIIIII III |
0 (0.0%) |
| round [numeric] |
Mean (sd) : 2.36 (1.02) min < med < max: 1 < 3 < 5 IQR (CV) : 2 (0.43) |
1 : 2454 (28.1%) 2 : 1447 (16.6%) 3 : 4447 (50.9%) 4 : 51 ( 0.6%) 5 : 337 ( 3.9%) |
IIIII III IIIIIIIIII |
0 (0.0%) |
| time [character] |
1. 5M 0S 2. 4M 59S 3. 3M 0S 4. 1M 54S 5. 2M 38S 6. 4M 15S 7. 4M 21S 8. 1M 28S 9. 39S 10. 2M 1S [ 329 others ] |
4138 (47.4%) 57 ( 0.7%) 39 ( 0.4%) 28 ( 0.3%) 28 ( 0.3%) 28 ( 0.3%) 27 ( 0.3%) 26 ( 0.3%) 26 ( 0.3%) 25 ( 0.3%) 4314 (49.4%) |
IIIIIIIII IIIIIIIII |
0 (0.0%) |
| time_format [character] |
1. 3 Rnd (5-5-5) 2. 5 Rnd (5-5-5-5-5) 3. 1 Rnd + OT (12-3) 4. 3 Rnd + OT (5-5-5-5) 5. No Time Limit 6. 1 Rnd (20) 7. 1 Rnd + 2OT (15-3-3) 8. 2 Rnd (5-5) 9. 1 Rnd (15) 10. 1 Rnd (10) [ 9 others ] |
7701 (88.2%) 777 ( 8.9%) 88 ( 1.0%) 43 ( 0.5%) 31 ( 0.4%) 25 ( 0.3%) 20 ( 0.2%) 14 ( 0.2%) 12 ( 0.1%) 7 ( 0.1%) 18 ( 0.2%) |
IIIIIIIIIIIIIIIII I |
0 (0.0%) |
| referee [character] |
1. Herb Dean 2. John McCarthy 3. Marc Goddard 4. Dan Miragliotta 5. Mark Smith 6. Chris Tognoni 7. Jason Herzog 8. Keith Peterson 9. Mario Yamasaki 10. Yves Lavigne [ 232 others ] |
1242 (14.2%) 655 ( 7.5%) 604 ( 6.9%) 507 ( 5.8%) 463 ( 5.3%) 462 ( 5.3%) 458 ( 5.2%) 407 ( 4.7%) 387 ( 4.4%) 265 ( 3.0%) 3286 (37.6%) |
II I I I I I I IIIIIII |
0 (0.0%) |
| judging_details [character] |
1. Punch to Head At Distance 2. Rear Naked Choke 3. Punches to Head At Distan 4. Punches to Head On Ground 5. Punch to Head In Clinch 6. Kick to Head At Distance 7. Punches to Head From Moun 8. Punches to Head From Back 9. Guillotine Choke On Groun 10. Knee to Head In Clinch [ 4256 others ] |
755 ( 8.7%) 640 ( 7.4%) 379 ( 4.4%) 265 ( 3.1%) 128 ( 1.5%) 116 ( 1.3%) 116 ( 1.3%) 103 ( 1.2%) 70 ( 0.8%) 66 ( 0.8%) 6020 (69.5%) |
I I IIIIIIIIIIIII |
78 (0.9%) |
ufc_rankings_dataset (100477,4)
| Variable | Stats / Values | Freqs (% of Valid) | Graph | Missing |
|---|---|---|---|---|
| date [Date] |
min : 2013-02-04 med : 2020-08-31 max : 2026-06-16 range : 13y 4m 12d |
534 distinct values | . . : : . : . . : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : |
0 (0.0%) |
| weightclass [character] |
1. Middleweight 2. Heavyweight 3. Featherweight 4. Lightweight 5. Welterweight 6. Light Heavyweight 7. Bantamweight 8. Flyweight 9. Women’s Bantamweight 10. Women’s Strawweight [ 5 others ] |
8399 ( 8.4%) 8396 ( 8.4%) 8394 ( 8.4%) 8393 ( 8.4%) 8393 ( 8.4%) 8391 ( 8.4%) 8388 ( 8.3%) 8369 ( 8.3%) 8358 ( 8.3%) 7328 ( 7.3%) 17668 (17.6%) |
I I I I I I I I I I III |
0 (0.0%) |
| fighter [character] |
1. Max Holloway 2. Jessica Andrade 3. Amanda Nunes 4. Rose Namajunas 5. Julianna Pena 6. Valentina Shevchenko 7. Stipe Miocic 8. Jon Jones 9. Robert Whittaker 10. Dustin Poirier [ 615 others ] |
885 ( 0.9%) 874 ( 0.9%) 860 ( 0.9%) 746 ( 0.7%) 726 ( 0.7%) 716 ( 0.7%) 709 ( 0.7%) 686 ( 0.7%) 673 ( 0.7%) 668 ( 0.7%) 92811 (92.5%) |
IIIIIIIIIIIIIIIIII |
123 (0.1%) |
| rank [numeric] |
Mean (sd) : 7.45 (4.57) min < med < max: 0 < 7 < 15 IQR (CV) : 8 (0.61) |
16 distinct values |
|
0 (0.0%) |
ufcstats_data (4504,18)
| Variable | Stats / Values | Freqs (% of Valid) | Graph | Missing |
|---|---|---|---|---|
| name [character] |
1. Bruno Silva 2. Jean Silva 3. Joey Gomez 4. Michael McDonald 5. Mike Davis 6. Tony Johnson 7. Victor Valenzuela 8. Aalon Cruz 9. Aaron Brink 10. Aaron Ely [ 4487 others ] |
2 ( 0.0%) 2 ( 0.0%) 2 ( 0.0%) 2 ( 0.0%) 2 ( 0.0%) 2 ( 0.0%) 2 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 1 ( 0.0%) 4487 (99.6%) |
IIIIIIIIIIIIIIIIIII |
0 (0.0%) |
| wins [numeric] |
Mean (sd) : 12.47 (9.19) min < med < max: 0 < 11 < 253 IQR (CV) : 10 (0.74) |
57 distinct values | : : : : : . |
0 (0.0%) |
| losses [numeric] |
Mean (sd) : 5.69 (5.01) min < med < max: 0 < 4 < 83 IQR (CV) : 6 (0.88) |
40 distinct values | : : : : : : |
0 (0.0%) |
| draws [numeric] |
Mean (sd) : 0.25 (0.79) min < med < max: 0 < 0 < 11 IQR (CV) : 0 (3.16) |
12 distinct values | : : : : : |
0 (0.0%) |
| nc [numeric] |
Mean (sd) : 0.13 (0.39) min < med < max: 0 < 0 < 4 IQR (CV) : 0 (2.88) |
0 : 3967 (88.1%) 1 : 475 (10.5%) 2 : 56 ( 1.2%) 3 : 5 ( 0.1%) 4 : 1 ( 0.0%) |
IIIIIIIIIIIIIIIII II |
0 (0.0%) |
| height [character] |
1. 6’ 0” 2. 5’ 9” 3. 5’ 10” 4. 5’ 11” 5. 5’ 7” 6. 5’ 8” 7. 6’ 1” 8. 6’ 2” 9. 5’ 6” 10. 6’ 3” [ 17 others ] |
471 (11.3%) 440 (10.5%) 422 (10.1%) 384 ( 9.2%) 360 ( 8.6%) 360 ( 8.6%) 336 ( 8.0%) 289 ( 6.9%) 269 ( 6.4%) 237 ( 5.7%) 613 (14.7%) |
II II II I I I I I I I II |
323 (7.2%) |
| weight [character] |
1. 155 lbs. 2. 170 lbs. 3. 185 lbs. 4. 135 lbs. 5. 145 lbs. 6. 205 lbs. 7. 125 lbs. 8. 115 lbs. 9. 265 lbs. 10. 230 lbs. [ 103 others ] |
656 (14.8%) 645 (14.6%) 549 (12.4%) 516 (11.7%) 504 (11.4%) 388 ( 8.8%) 335 ( 7.6%) 145 ( 3.3%) 84 ( 1.9%) 31 ( 0.7%) 565 (12.8%) |
II II II II II I I II |
86 (1.9%) |
| reach [character] |
1. 71” 2. 70” 3. 72” 4. 73” 5. 74” 6. 75” 7. 69” 8. 68” 9. 67” 10. 76” [ 17 others ] |
232 ( 9.1%) 228 ( 8.9%) 228 ( 8.9%) 218 ( 8.5%) 208 ( 8.1%) 195 ( 7.6%) 184 ( 7.2%) 162 ( 6.3%) 132 ( 5.2%) 131 ( 5.1%) 641 (25.0%) |
I I I I I I I I I I IIIII |
1945 (43.2%) |
| stance [character] |
1. Open Stance 2. Orthodox 3. Sideways 4. Southpaw 5. Switch |
7 ( 0.2%) 2803 (76.8%) 3 ( 0.1%) 616 (16.9%) 223 ( 6.1%) |
IIIIIIIIIIIIIII III I |
852 (18.9%) |
| dob [character] |
1. Aug 02, 1997 2. Aug 08, 1988 3. Dec 27, 1996 4. Jan 21, 1987 5. Mar 16, 1993 6. Nov 17, 1992 7. Sep 30, 1991 8. Apr 04, 1991 9. Apr 12, 1985 10. Apr 24, 1984 [ 3339 others ] |
4 ( 0.1%) 4 ( 0.1%) 4 ( 0.1%) 4 ( 0.1%) 4 ( 0.1%) 4 ( 0.1%) 4 ( 0.1%) 3 ( 0.1%) 3 ( 0.1%) 3 ( 0.1%) 3964 (99.1%) |
IIIIIIIIIIIIIIIIIII |
503 (11.2%) |
| s_lp_m [numeric] |
Mean (sd) : 2.5 (1.97) min < med < max: 0 < 2.43 < 17.65 IQR (CV) : 2.78 (0.79) |
712 distinct values |
|
0 (0.0%) |
| str_acc [character] |
1. 0% 2. 50% 3. 42% 4. 48% 5. 40% 6. 41% 7. 45% 8. 46% 9. 47% 10. 44% [ 73 others ] |
801 (17.8%) 176 ( 3.9%) 160 ( 3.6%) 154 ( 3.4%) 150 ( 3.3%) 150 ( 3.3%) 143 ( 3.2%) 136 ( 3.0%) 136 ( 3.0%) 131 ( 2.9%) 2367 (52.6%) |
III IIIIIIIIII |
0 (0.0%) |
| s_ap_m [numeric] |
Mean (sd) : 3.25 (2.93) min < med < max: 0 < 3 < 52.5 IQR (CV) : 2.63 (0.9) |
841 distinct values | : : : : : : |
0 (0.0%) |
| str_def [character] |
1. 0% 2. 50% 3. 55% 4. 52% 5. 57% 6. 51% 7. 54% 8. 56% 9. 58% 10. 60% [ 75 others ] |
734 (16.3%) 199 ( 4.4%) 164 ( 3.6%) 163 ( 3.6%) 161 ( 3.6%) 157 ( 3.5%) 154 ( 3.4%) 147 ( 3.3%) 136 ( 3.0%) 131 ( 2.9%) 2358 (52.4%) |
III IIIIIIIIII |
0 (0.0%) |
| td_avg [numeric] |
Mean (sd) : 1.26 (1.94) min < med < max: 0 < 0.62 < 32.14 IQR (CV) : 1.94 (1.54) |
578 distinct values | : : : : : . |
0 (0.0%) |
| td_acc [character] |
1. 0% 2. 50% 3. 100% 4. 33% 5. 25% 6. 40% 7. 42% 8. 66% 9. 20% 10. 36% [ 75 others ] |
1869 (41.5%) 230 ( 5.1%) 217 ( 4.8%) 193 ( 4.3%) 105 ( 2.3%) 101 ( 2.2%) 73 ( 1.6%) 73 ( 1.6%) 65 ( 1.4%) 61 ( 1.4%) 1517 (33.7%) |
IIIIIIII I IIIIII |
0 (0.0%) |
| td_def [character] |
1. 0% 2. 100% 3. 50% 4. 66% 5. 33% 6. 60% 7. 75% 8. 25% 9. 80% 10. 57% [ 83 others ] |
1557 (34.6%) 331 ( 7.3%) 266 ( 5.9%) 178 ( 4.0%) 118 ( 2.6%) 89 ( 2.0%) 89 ( 2.0%) 66 ( 1.5%) 63 ( 1.4%) 57 ( 1.3%) 1690 (37.5%) |
IIIIII I I IIIIIII |
0 (0.0%) |
| sub_avg [numeric] |
Mean (sd) : 0.57 (1.43) min < med < max: 0 < 0 < 21.9 IQR (CV) : 0.7 (2.51) |
97 distinct values | : : : : : |
0 (0.0%) |
ultimate_ufc_dataset (7177,118)
| Variable | Stats / Values | Freqs (% of Valid) | Graph | Missing |
|---|---|---|---|---|
| r_fighter [character] |
1. Jim Miller 2. Neil Magny 3. Donald Cerrone 4. Derrick Lewis 5. Dustin Poirier 6. Edson Barboza 7. Andrei Arlovski 8. Cub Swanson 9. Clay Guida 10. Court McGee [ 1761 others ] |
30 ( 0.4%) 25 ( 0.3%) 24 ( 0.3%) 23 ( 0.3%) 22 ( 0.3%) 22 ( 0.3%) 21 ( 0.3%) 21 ( 0.3%) 20 ( 0.3%) 20 ( 0.3%) 6949 (96.8%) |
IIIIIIIIIIIIIIIIIII |
0 (0.0%) |
| b_fighter [character] |
1. Charles Oliveira 2. Angela Hill 3. Gerald Meerschaert 4. Jeremy Stephens 5. Rafael Dos Anjos 6. Bruno Silva 7. Michal Oleksiejczuk 8. Sean Strickland 9. Alex Morono 10. Andre Fili [ 2044 others ] |
20 ( 0.3%) 19 ( 0.3%) 17 ( 0.2%) 16 ( 0.2%) 16 ( 0.2%) 15 ( 0.2%) 15 ( 0.2%) 15 ( 0.2%) 14 ( 0.2%) 14 ( 0.2%) 7016 (97.8%) |
IIIIIIIIIIIIIIIIIII |
0 (0.0%) |
| r_odds [numeric] |
Mean (sd) : -114.38 (285.37) min < med < max: -2100 < -148 < 1100 IQR (CV) : 385 (-2.49) |
396 distinct values | . : : : : : : : : : . : : : |
240 (3.3%) |
| b_odds [numeric] |
Mean (sd) : 56 (260.8) min < med < max: -2200 < 130 < 1300 IQR (CV) : 365 (4.66) |
402 distinct values | . : : : : : : : : : : : |
239 (3.3%) |
| r_ev [numeric] |
Mean (sd) : 98.78 (90.11) min < med < max: 4.76 < 67.57 < 1100 IQR (CV) : 90.78 (0.91) |
398 distinct values | : : : : . : : . |
240 (3.3%) |
| b_ev [numeric] |
Mean (sd) : 165.14 (140.15) min < med < max: 4.55 < 130 < 1300 IQR (CV) : 148.33 (0.85) |
407 distinct values | : : : : : : : : : . |
239 (3.3%) |
| date [Date] |
min : 2010-03-21 med : 2019-02-02 max : 2026-03-28 range : 16y 0m 7d |
616 distinct values | . . . . . . : : . : : : : : : : : . : : : : : : : : : : : : : : : : : : : : : : : : : : : : : |
0 (0.0%) |
| location [character] |
1. Las Vegas, Nevada, USA 2. Abu Dhabi, Abu Dhabi, Uni 3. London, England, United K 4. Newark, New Jersey, USA 5. Houston, Texas, USA 6. New York City, New York, 7. Mexico City, Distrito Fed 8. Chicago, Illinois, USA 9. Rio de Janeiro, Rio de Ja 10. Toronto, Ontario, Canada [ 144 others ] |
2380 (33.2%) 241 ( 3.4%) 155 ( 2.2%) 116 ( 1.6%) 110 ( 1.5%) 110 ( 1.5%) 94 ( 1.3%) 92 ( 1.3%) 88 ( 1.2%) 86 ( 1.2%) 3705 (51.6%) |
IIIIII IIIIIIIIII |
0 (0.0%) |
| country [character] |
1. ·USA 2. USA 3. ·Brazil 4. ·Canada 5. United Arab Emirates 6. ·United Kingdom 7. ·Australia 8. United Kingdom 9. Australia 10. ·Sweden [ 28 others ] |
2450 (34.1%) 2331 (32.5%) 400 ( 5.6%) 337 ( 4.7%) 229 ( 3.2%) 165 ( 2.3%) 160 ( 2.2%) 95 ( 1.3%) 73 ( 1.0%) 72 ( 1.0%) 865 (12.1%) |
IIIIII IIIIII I II |
0 (0.0%) |
| winner [character] |
1. Blue 2. Draw 3. No Contest 4. Red |
3024 (42.1%) 5 ( 0.1%) 3 ( 0.0%) 4145 (57.8%) |
IIIIIIII IIIIIIIIIII |
0 (0.0%) |
| title_bout [logical] |
1. FALSE 2. TRUE |
6847 (95.4%) 330 ( 4.6%) |
IIIIIIIIIIIIIIIIIII |
0 (0.0%) |
| weight_class [character] |
1. Lightweight 2. Welterweight 3. Middleweight 4. Featherweight 5. Bantamweight 6. Light Heavyweight 7. Heavyweight 8. Flyweight 9. Women’s Strawweight 10. Women’s Flyweight [ 3 others ] |
1160 (16.2%) 1097 (15.3%) 873 (12.2%) 833 (11.6%) 753 (10.5%) 551 ( 7.7%) 541 ( 7.5%) 404 ( 5.6%) 359 ( 5.0%) 268 ( 3.7%) 338 ( 4.7%) |
III III II II II I I I I |
0 (0.0%) |
| gender [character] |
1. FEMALE 2. MALE |
894 (12.5%) 6283 (87.5%) |
II IIIIIIIIIIIIIIIII |
0 (0.0%) |
| no_of_rounds [numeric] |
Mean (sd) : 3.19 (0.58) min < med < max: 3 < 3 < 5 IQR (CV) : 0 (0.18) |
3 : 6495 (90.5%) 4 : 21 ( 0.3%) 5 : 661 ( 9.2%) |
IIIIIIIIIIIIIIIIII I |
0 (0.0%) |
| b_current_lose_streak [numeric] |
Mean (sd) : 0.5 (0.8) min < med < max: 0 < 0 < 6 IQR (CV) : 1 (1.59) |
0 : 4620 (64.4%) 1 : 1769 (24.6%) 2 : 580 ( 8.1%) 3 : 159 ( 2.2%) 4 : 42 ( 0.6%) 5 : 6 ( 0.1%) 6 : 1 ( 0.0%) |
IIIIIIIIIIII IIII I |
0 (0.0%) |
| b_current_win_streak [numeric] |
Mean (sd) : 1 (1.47) min < med < max: 0 < 0 < 15 IQR (CV) : 1 (1.46) |
14 distinct values | : : : : : : |
0 (0.0%) |
| b_draw [numeric] |
Mean (sd) : 0.03 (0.16) min < med < max: 0 < 0 < 2 IQR (CV) : 0 (6.33) |
0 : 6997 (97.5%) 1 : 174 ( 2.4%) 2 : 6 ( 0.1%) |
IIIIIIIIIIIIIIIIIII |
0 (0.0%) |
| b_avg_sig_str_landed [numeric] |
Mean (sd) : 18.21 (19.83) min < med < max: 0 < 6.12 < 154 IQR (CV) : 26.69 (1.09) |
1743 distinct values | : : : : . : : : . |
930 (13.0%) |
| b_avg_sig_str_pct [numeric] |
Mean (sd) : 0.46 (0.11) min < med < max: 0 < 0.46 < 1 IQR (CV) : 0.12 (0.24) |
432 distinct values | : : : . : : : . : : : . |
765 (10.7%) |
| b_avg_sub_att [numeric] |
Mean (sd) : 0.5 (0.68) min < med < max: 0 < 0.3 < 8.4 IQR (CV) : 0.8 (1.36) |
252 distinct values | : : : : : : . |
832 (11.6%) |
| b_avg_td_landed [numeric] |
Mean (sd) : 1.35 (1.38) min < med < max: 0 < 1 < 10.86 IQR (CV) : 1.67 (1.02) |
751 distinct values | : : : . : : : : : . |
833 (11.6%) |
| b_avg_td_pct [numeric] |
Mean (sd) : 0.33 (0.24) min < med < max: 0 < 0.33 < 1 IQR (CV) : 0.31 (0.72) |
544 distinct values |
|
842 (11.7%) |
| b_longest_win_streak [numeric] |
Mean (sd) : 1.98 (1.97) min < med < max: 0 < 2 < 17 IQR (CV) : 3 (0.99) |
17 distinct values | : : : : : : . : : : |
0 (0.0%) |
| b_losses [numeric] |
Mean (sd) : 1.89 (2.2) min < med < max: 0 < 1 < 16 IQR (CV) : 3 (1.16) |
17 distinct values | : : : . : : : : . . |
0 (0.0%) |
| b_total_rounds_fought [numeric] |
Mean (sd) : 12.17 (13.92) min < med < max: 0 < 8 < 111 IQR (CV) : 14 (1.14) |
94 distinct values | : : : : . : : . . |
0 (0.0%) |
| b_total_title_bouts [numeric] |
Mean (sd) : 0.25 (1.06) min < med < max: 0 < 0 < 16 IQR (CV) : 0 (4.31) |
17 distinct values | : : : : : |
0 (0.0%) |
| b_win_by_decision_majority [numeric] |
Mean (sd) : 0.02 (0.14) min < med < max: 0 < 0 < 2 IQR (CV) : 0 (7.33) |
0 : 7045 (98.2%) 1 : 131 ( 1.8%) 2 : 1 ( 0.0%) |
IIIIIIIIIIIIIIIIIII |
0 (0.0%) |
| b_win_by_decision_split [numeric] |
Mean (sd) : 0.29 (0.6) min < med < max: 0 < 0 < 5 IQR (CV) : 0 (2.09) |
0 : 5582 (77.8%) 1 : 1215 (16.9%) 2 : 313 ( 4.4%) 3 : 57 ( 0.8%) 4 : 7 ( 0.1%) 5 : 3 ( 0.0%) |
IIIIIIIIIIIIIII III |
0 (0.0%) |
| b_win_by_decision_unanimous [numeric] |
Mean (sd) : 1.12 (1.63) min < med < max: 0 < 1 < 11 IQR (CV) : 2 (1.45) |
12 distinct values | : : : : : : . . |
0 (0.0%) |
| b_win_by_ko_tko [numeric] |
Mean (sd) : 1.11 (1.75) min < med < max: 0 < 0 < 20 IQR (CV) : 2 (1.58) |
16 distinct values | : : : : : . |
0 (0.0%) |
| b_win_by_submission [numeric] |
Mean (sd) : 0.65 (1.3) min < med < max: 0 < 0 < 17 IQR (CV) : 1 (2.01) |
16 distinct values | : : : : : . |
0 (0.0%) |
| b_win_by_tko_doctor_stoppage [numeric] |
Mean (sd) : 0.02 (0.15) min < med < max: 0 < 0 < 2 IQR (CV) : 0 (7.25) |
0 : 7038 (98.1%) 1 : 133 ( 1.9%) 2 : 6 ( 0.1%) |
IIIIIIIIIIIIIIIIIII |
0 (0.0%) |
| b_wins [numeric] |
Mean (sd) : 3.24 (3.74) min < med < max: 0 < 2 < 31 IQR (CV) : 5 (1.15) |
28 distinct values | : : : : . : : . . |
0 (0.0%) |
| b_stance [character] |
1. Open Stance 2. Orthodox 3. Southpaw 4. Switch 5. Switch· |
1 ( 0.0%) 5311 (74.1%) 1391 (19.4%) 467 ( 6.5%) 1 ( 0.0%) |
IIIIIIIIIIIIII III I |
6 (0.1%) |
| b_height_cms [numeric] |
Mean (sd) : 177.83 (9.17) min < med < max: 152.4 < 177.8 < 210.82 IQR (CV) : 15.24 (0.05) |
23 distinct values | : : : . : : : : : : : : : . : : : : : : . |
0 (0.0%) |
| b_reach_cms [numeric] |
Mean (sd) : 182.15 (11.22) min < med < max: 0 < 182.88 < 213.36 IQR (CV) : 15.24 (0.06) |
59 distinct values | : : : . : . : : : |
0 (0.0%) |
| b_weight_lbs [numeric] |
Mean (sd) : 162.93 (34.64) min < med < max: 115 < 155 < 265 IQR (CV) : 50 (0.21) |
43 distinct values | : : : : : : . : : : : : . : : : : : : . . |
0 (0.0%) |
| r_current_lose_streak [numeric] |
Mean (sd) : 0.63 (0.87) min < med < max: 0 < 0 < 7 IQR (CV) : 1 (1.4) |
0 : 4077 (56.8%) 1 : 2079 (29.0%) 2 : 745 (10.4%) 3 : 210 ( 2.9%) 4 : 46 ( 0.6%) 5 : 13 ( 0.2%) 6 : 4 ( 0.1%) 7 : 3 ( 0.0%) |
IIIIIIIIIII IIIII II |
0 (0.0%) |
| r_current_win_streak [numeric] |
Mean (sd) : 1.11 (1.78) min < med < max: 0 < 1 < 18 IQR (CV) : 2 (1.6) |
19 distinct values | : : : : : : . |
0 (0.0%) |
| r_draw [numeric] |
Mean (sd) : 0.04 (0.2) min < med < max: 0 < 0 < 2 IQR (CV) : 0 (5.56) |
0 : 6936 (96.6%) 1 : 218 ( 3.0%) 2 : 23 ( 0.3%) |
IIIIIIIIIIIIIIIIIII |
0 (0.0%) |
| r_avg_sig_str_landed [numeric] |
Mean (sd) : 19.53 (19.55) min < med < max: 0 < 8.17 < 141 IQR (CV) : 28.01 (1) |
2059 distinct values | : : : : . . : : : : . |
455 (6.3%) |
| r_avg_sig_str_pct [numeric] |
Mean (sd) : 0.46 (0.1) min < med < max: 0 < 0.46 < 1 IQR (CV) : 0.11 (0.21) |
463 distinct values | : : : . : : : . : : : . |
357 (5.0%) |
| r_avg_sub_att [numeric] |
Mean (sd) : 0.54 (0.7) min < med < max: 0 < 0.33 < 14.3 IQR (CV) : 0.8 (1.31) |
289 distinct values | : : : : : . |
357 (5.0%) |
| r_avg_td_landed [numeric] |
Mean (sd) : 1.43 (1.34) min < med < max: 0 < 1.07 < 14.29 IQR (CV) : 1.54 (0.94) |
840 distinct values | : : : . : : : : : |
357 (5.0%) |
| r_avg_td_pct [numeric] |
Mean (sd) : 0.34 (0.22) min < med < max: 0 < 0.34 < 1 IQR (CV) : 0.27 (0.64) |
608 distinct values | : . . : : : : . : : : : : : : : : : : : : : : : . . |
367 (5.1%) |
| r_longest_win_streak [numeric] |
Mean (sd) : 2.75 (2.27) min < med < max: 0 < 2 < 18 IQR (CV) : 3 (0.83) |
19 distinct values |
|
0 (0.0%) |
| r_losses [numeric] |
Mean (sd) : 2.64 (2.75) min < med < max: 0 < 2 < 21 IQR (CV) : 3 (1.04) |
22 distinct values | : : : : . : : : . |
0 (0.0%) |
| r_total_rounds_fought [numeric] |
Mean (sd) : 18.01 (18.18) min < med < max: 0 < 13 < 448 IQR (CV) : 21 (1.01) |
107 distinct values | : : : : : . |
0 (0.0%) |
| r_total_title_bouts [numeric] |
Mean (sd) : 0.56 (1.57) min < med < max: 0 < 0 < 16 IQR (CV) : 0 (2.82) |
17 distinct values | : : : : : . |
0 (0.0%) |
| r_win_by_decision_majority [numeric] |
Mean (sd) : 0.03 (0.17) min < med < max: 0 < 0 < 2 IQR (CV) : 0 (5.95) |
0 : 6978 (97.2%) 1 : 197 ( 2.7%) 2 : 2 ( 0.0%) |
IIIIIIIIIIIIIIIIIII |
0 (0.0%) |
| r_win_by_decision_split [numeric] |
Mean (sd) : 0.41 (0.72) min < med < max: 0 < 0 < 5 IQR (CV) : 1 (1.73) |
0 : 4973 (69.3%) 1 : 1624 (22.6%) 2 : 421 ( 5.9%) 3 : 139 ( 1.9%) 4 : 18 ( 0.3%) 5 : 2 ( 0.0%) |
IIIIIIIIIIIII IIII I |
0 (0.0%) |
| r_win_by_decision_unanimous [numeric] |
Mean (sd) : 1.67 (2.03) min < med < max: 0 < 1 < 12 IQR (CV) : 2 (1.21) |
13 distinct values | : : : : : : : . . |
0 (0.0%) |
| r_win_by_ko_tko [numeric] |
Mean (sd) : 1.62 (2.16) min < med < max: 0 < 1 < 21 IQR (CV) : 2 (1.34) |
19 distinct values | : : : : : : . |
0 (0.0%) |
| r_win_by_submission [numeric] |
Mean (sd) : 0.95 (1.62) min < med < max: 0 < 0 < 16 IQR (CV) : 1 (1.7) |
17 distinct values | : : : : : : |
0 (0.0%) |
| r_win_by_tko_doctor_stoppage [numeric] |
Mean (sd) : 0.03 (0.19) min < med < max: 0 < 0 < 2 IQR (CV) : 0 (5.89) |
0 : 6963 (97.0%) 1 : 196 ( 2.7%) 2 : 18 ( 0.3%) |
IIIIIIIIIIIIIIIIIII |
0 (0.0%) |
| r_wins [numeric] |
Mean (sd) : 4.76 (4.54) min < med < max: 0 < 3 < 33 IQR (CV) : 6 (0.95) |
31 distinct values | : : : : : . : : : : . |
0 (0.0%) |
| r_stance [character] |
1. Open Stance 2. Orthodox 3. Southpaw 4. Switch |
4 ( 0.1%) 5322 (74.2%) 1403 (19.5%) 448 ( 6.2%) |
IIIIIIIIIIIIII III I |
0 (0.0%) |
| r_height_cms [numeric] |
Mean (sd) : 177.81 (9.22) min < med < max: 152.4 < 177.8 < 210.82 IQR (CV) : 15.24 (0.05) |
22 distinct values | : : . . . : : : : : : : : : . : : : : : : . |
0 (0.0%) |
| r_reach_cms [numeric] |
Mean (sd) : 182.42 (11.18) min < med < max: 147.32 < 182.88 < 214.63 IQR (CV) : 15.24 (0.06) |
52 distinct values | : . : . : : : : : : : : : : . : : : : : : . |
0 (0.0%) |
| r_weight_lbs [numeric] |
Mean (sd) : 163.36 (34.9) min < med < max: 115 < 155 < 265 IQR (CV) : 50 (0.21) |
40 distinct values | : : : : : : . : : : : : . : : : : : : . . |
0 (0.0%) |
| r_age [numeric] |
Mean (sd) : 30.49 (4.19) min < med < max: 18 < 30 < 47 IQR (CV) : 5 (0.14) |
29 distinct values | . : : : . . : : : : : : : . . : : : : : . |
0 (0.0%) |
| b_age [numeric] |
Mean (sd) : 29.91 (3.96) min < med < max: 19 < 30 < 47 IQR (CV) : 6 (0.13) |
29 distinct values | : . : : : : : : : : . : : : : : : |
0 (0.0%) |
| lose_streak_dif [numeric] |
Mean (sd) : 0.04 (1.04) min < med < max: -6 < 0 < 6 IQR (CV) : 0 (25.29) |
13 distinct values | : : : : . : : . |
0 (0.0%) |
| win_streak_dif [numeric] |
Mean (sd) : -0.11 (1.93) min < med < max: -18 < 0 < 10 IQR (CV) : 1 (-17.58) |
26 distinct values | : : : : . : . |
0 (0.0%) |
| longest_win_streak_dif [numeric] |
Mean (sd) : -0.77 (2.05) min < med < max: -12 < -1 < 14 IQR (CV) : 2 (-2.67) |
26 distinct values | : : : : : : : . |
0 (0.0%) |
| win_dif [numeric] |
Mean (sd) : -1.53 (4.21) min < med < max: -28 < -1 < 23 IQR (CV) : 3 (-2.76) |
45 distinct values | : : : : : . : : . |
0 (0.0%) |
| loss_dif [numeric] |
Mean (sd) : -0.03 (3.2) min < med < max: -20 < 0 < 16 IQR (CV) : 3 (-98.2) |
36 distinct values | : : : : : : . : : : . |
0 (0.0%) |
| total_round_dif [numeric] |
Mean (sd) : -5.84 (18.28) min < med < max: -448 < -3 < 87 IQR (CV) : 15 (-3.13) |
157 distinct values | : : : : : : |
0 (0.0%) |
| total_title_bout_dif [numeric] |
Mean (sd) : -0.31 (1.68) min < med < max: -16 < 0 < 15 IQR (CV) : 0 (-5.47) |
31 distinct values | : : : : : : |
0 (0.0%) |
| ko_dif [numeric] |
Mean (sd) : -0.52 (2.17) min < med < max: -21 < 0 < 14 IQR (CV) : 1 (-4.16) |
31 distinct values | : : : : . . : : |
0 (0.0%) |
| sub_dif [numeric] |
Mean (sd) : -0.3 (1.88) min < med < max: -16 < 0 < 15 IQR (CV) : 1 (-6.18) |
28 distinct values | : : . : : : . : : . |
0 (0.0%) |
| height_dif [numeric] |
Mean (sd) : -0.01 (6.72) min < med < max: -187.96 < 0 < 30.48 IQR (CV) : 10.16 (-725.73) |
26 distinct values | : : : : : . |
0 (0.0%) |
| reach_dif [numeric] |
Mean (sd) : -0.31 (9.07) min < med < max: -187.96 < 0 < 30.48 IQR (CV) : 10.16 (-28.87) |
122 distinct values | : : : : . : : |
0 (0.0%) |
| age_dif [numeric] |
Mean (sd) : 0.02 (5.24) min < med < max: -17 < 0 < 17 IQR (CV) : 7 (270.54) |
35 distinct values | : : . . : : . . : : : : . . : : : : : : . |
0 (0.0%) |
| sig_str_dif [numeric] |
Mean (sd) : -2.44 (18.7) min < med < max: -118 < -0.27 < 128.22 IQR (CV) : 7.17 (-7.66) |
3070 distinct values | : : : : : : : . |
0 (0.0%) |
| avg_sub_att_dif [numeric] |
Mean (sd) : -0.07 (0.91) min < med < max: -14.3 < 0 < 7.8 IQR (CV) : 0.74 (-13.58) |
893 distinct values | : : : : . : . |
0 (0.0%) |
| avg_td_dif [numeric] |
Mean (sd) : -0.17 (1.81) min < med < max: -14.29 < 0 < 10.86 IQR (CV) : 1.8 (-10.83) |
1860 distinct values | : : : : . : : : |
0 (0.0%) |
| empty_arena [numeric] |
Min : 0 Mean : 0.15 Max : 1 |
0 : 4270 (84.7%) 1 : 772 (15.3%) |
IIIIIIIIIIIIIIII III |
2135 (29.7%) |
| b_match_weightclass_rank [numeric] |
Mean (sd) : 8.36 (4.19) min < med < max: 1 < 9 < 15 IQR (CV) : 7 (0.5) |
15 distinct values |
|
5845 (81.4%) |
| r_match_weightclass_rank [numeric] |
Mean (sd) : 7.01 (4.67) min < med < max: 0 < 7 < 15 IQR (CV) : 8 (0.67) |
16 distinct values |
|
5202 (72.5%) |
| r_womens_flyweight_rank [numeric] |
Mean (sd) : 7.14 (4.92) min < med < max: 0 < 7 < 15 IQR (CV) : 9 (0.69) |
16 distinct values | : : : . . : : . : : : : : : . : : : : : : : : : |
7066 (98.5%) |
| r_womens_featherweight_rank [numeric] |
1 distinct value | 0 : 9 (100.0%) | IIIIIIIIIIIIIIIIIIII | 7168 (99.9%) |
| r_womens_strawweight_rank [numeric] |
Mean (sd) : 7.07 (4.6) min < med < max: 0 < 7 < 15 IQR (CV) : 8 (0.65) |
16 distinct values |
|
7013 (97.7%) |
| r_womens_bantamweight_rank [numeric] |
Mean (sd) : 7.23 (4.78) min < med < max: 0 < 7 < 15 IQR (CV) : 9 (0.66) |
16 distinct values | : : : . : : . : : : : : : : : : : : : : : : : |
7009 (97.7%) |
| r_heavyweight_rank [numeric] |
Mean (sd) : 6.96 (4.42) min < med < max: 0 < 7 < 15 IQR (CV) : 7 (0.63) |
16 distinct values |
|
6974 (97.2%) |
| r_light_heavyweight_rank [numeric] |
Mean (sd) : 7.19 (4.7) min < med < max: 0 < 7 < 15 IQR (CV) : 7 (0.65) |
16 distinct values |
|
6974 (97.2%) |
| r_middleweight_rank [numeric] |
Mean (sd) : 7.41 (4.71) min < med < max: 0 < 8 < 15 IQR (CV) : 8 (0.63) |
16 distinct values |
|
6974 (97.2%) |
| r_welterweight_rank [numeric] |
Mean (sd) : 7.18 (4.76) min < med < max: 0 < 7 < 15 IQR (CV) : 8 (0.66) |
16 distinct values | : : : . : . . . : : : : : : : : . : : : : : : : : |
6968 (97.1%) |
| r_lightweight_rank [numeric] |
Mean (sd) : 7.05 (4.62) min < med < max: 0 < 6 < 15 IQR (CV) : 8 (0.65) |
16 distinct values |
|
6975 (97.2%) |
| r_featherweight_rank [numeric] |
Mean (sd) : 7.11 (4.69) min < med < max: 0 < 7 < 15 IQR (CV) : 8 (0.66) |
16 distinct values |
|
6979 (97.2%) |
| r_bantamweight_rank [numeric] |
Mean (sd) : 6.91 (4.7) min < med < max: 0 < 7 < 15 IQR (CV) : 8 (0.68) |
16 distinct values |
|
6974 (97.2%) |
| r_flyweight_rank [numeric] |
Mean (sd) : 6.68 (4.62) min < med < max: 0 < 7 < 15 IQR (CV) : 9 (0.69) |
16 distinct values | : : : . . . : : : : : : : . : : : : : : : : |
6967 (97.1%) |
| r_pound_for_pound_rank [numeric] |
Mean (sd) : 6.93 (4.18) min < med < max: 1 < 6 < 15 IQR (CV) : 7 (0.6) |
15 distinct values |
|
6888 (96.0%) |
| b_womens_flyweight_rank [numeric] |
Mean (sd) : 8.44 (3.94) min < med < max: 1 < 9 < 15 IQR (CV) : 6 (0.47) |
15 distinct values | : : : . : : : : : . : : : : : : . : : : : : : : : |
7092 (98.8%) |
| b_womens_featherweight_rank [logical] |
1. FALSE | 1 (100.0%) | IIIIIIIIIIIIIIIIIIII | 7176 (100.0%) |
| b_womens_strawweight_rank [numeric] |
Mean (sd) : 8.15 (4.24) min < med < max: 1 < 9 < 15 IQR (CV) : 7 (0.52) |
15 distinct values |
|
7063 (98.4%) |
| b_womens_bantamweight_rank [numeric] |
Mean (sd) : 8.61 (4.24) min < med < max: 0 < 9 < 15 IQR (CV) : 7 (0.49) |
16 distinct values | . : . . : : : : : : . : : : : : : : : : : : : : : : : : : : : : : |
7057 (98.3%) |
| b_heavyweight_rank [numeric] |
Mean (sd) : 8.67 (4.07) min < med < max: 1 < 9 < 15 IQR (CV) : 7 (0.47) |
15 distinct values | : . . : . : : . : : : : . : : : : : : . : : : : : : : : |
7018 (97.8%) |
| b_light_heavyweight_rank [numeric] |
Mean (sd) : 8.42 (4.19) min < med < max: 0 < 9 < 15 IQR (CV) : 6 (0.5) |
16 distinct values | . . : . . : : : : : : : : : : : : : : : : : : . : : : : : : : : |
7044 (98.1%) |
| b_middleweight_rank [numeric] |
Mean (sd) : 8.58 (4.3) min < med < max: 0 < 9 < 15 IQR (CV) : 7 (0.5) |
16 distinct values | : . : : : . . : : . : : : : : : : : : : : : : : : : : |
7026 (97.9%) |
| b_welterweight_rank [numeric] |
Mean (sd) : 8.5 (4.35) min < med < max: 1 < 9 < 15 IQR (CV) : 7 (0.51) |
15 distinct values | : : . : : : : : . : : : : : : : : : : . : : : : : : : : |
7046 (98.2%) |
| b_lightweight_rank [numeric] |
Mean (sd) : 8.17 (4.1) min < med < max: 1 < 8 < 15 IQR (CV) : 6.5 (0.5) |
15 distinct values | : : . . : : . : . : : : : : : : : : : : : : : . : : : : : : : : |
7042 (98.1%) |
| b_featherweight_rank [numeric] |
Mean (sd) : 7.98 (4.43) min < med < max: 0 < 9 < 15 IQR (CV) : 8 (0.56) |
16 distinct values |
|
7043 (98.1%) |
| b_bantamweight_rank [numeric] |
Mean (sd) : 8.25 (4.37) min < med < max: 0 < 9 < 15 IQR (CV) : 8 (0.53) |
16 distinct values | : . : . : : : : : : : : : : : : : : : : : : : : : : |
7042 (98.1%) |
| b_flyweight_rank [numeric] |
Mean (sd) : 8.44 (4.28) min < med < max: 1 < 8 < 15 IQR (CV) : 7 (0.51) |
15 distinct values | : . : : : : : : : : . : : . : : : : : : : : : : : : : : : : |
7034 (98.0%) |
| b_pound_for_pound_rank [numeric] |
Mean (sd) : 9.37 (4.36) min < med < max: 1 < 10 < 15 IQR (CV) : 9 (0.47) |
15 distinct values | : : : : . : : : : : . : : : : : : : : |
7096 (98.9%) |
| better_rank [character] |
1. Blue 2. neither 3. Red |
100 ( 1.5%) 4695 (69.6%) 1946 (28.9%) |
IIIIIIIIIIIII IIIII |
436 (6.1%) |
| finish [character] |
1. CNC 2. DQ 3. KO/TKO 4. M-DEC 5. Overturned 6. S-DEC 7. SUB 8. U-DEC |
3 ( 0.0%) 18 ( 0.3%) 2223 (32.0%) 52 ( 0.7%) 3 ( 0.0%) 699 (10.1%) 1260 (18.2%) 2681 (38.6%) |
IIIIII II III IIIIIII |
238 (3.3%) |
| finish_details [character] |
1. Punches 2. Punch 3. Rear Naked Choke 4. Guillotine Choke 5. Kick 6. Armbar 7. Elbows 8. Arm Triangle 9. Knee 10. Triangle Choke [ 29 others ] |
765 (23.9%) 744 (23.2%) 509 (15.9%) 215 ( 6.7%) 164 ( 5.1%) 126 ( 3.9%) 107 ( 3.3%) 104 ( 3.2%) 94 ( 2.9%) 57 ( 1.8%) 316 ( 9.9%) |
IIII IIII III I I I |
3976 (55.4%) |
| finish_round [numeric] |
Mean (sd) : 2.42 (1.01) min < med < max: 1 < 3 < 5 IQR (CV) : 2 (0.42) |
1 : 1664 (25.4%) 2 : 1050 (16.0%) 3 : 3523 (53.7%) 4 : 40 ( 0.6%) 5 : 278 ( 4.2%) |
IIIII III IIIIIIIIII |
622 (8.7%) |
| finish_round_time [hms, difftime] |
min : 300 med : 18000 max : 18000 units : secs |
294 distinct values | : : : : . . . . . . . . . : |
622 (8.7%) |
| total_fight_time_secs [numeric] |
Mean (sd) : 657.68 (360.67) min < med < max: 5 < 900 < 1500 IQR (CV) : 601 (0.55) |
878 distinct values | : : : . : : : . : . : . |
622 (8.7%) |
| r_dec_odds [numeric] |
Mean (sd) : 315.76 (260.65) min < med < max: -440 < 260 < 2400 IQR (CV) : 250 (0.83) |
580 distinct values | : : : : . : : : . |
1115 (15.5%) |
| b_dec_odds [numeric] |
Mean (sd) : 431.81 (337.47) min < med < max: -200 < 350 < 3500 IQR (CV) : 330 (0.78) |
633 distinct values | : : : . : . : : : . |
1145 (16.0%) |
| r_sub_odds [numeric] |
Mean (sd) : 995.13 (816.93) min < med < max: -370 < 800 < 10000 IQR (CV) : 850 (0.82) |
706 distinct values |
|
1364 (19.0%) |
| b_sub_odds [numeric] |
Mean (sd) : 1211.65 (903.37) min < med < max: -1250 < 1000 < 12500 IQR (CV) : 950 (0.75) |
684 distinct values | : : : : . : : |
1388 (19.3%) |
| r_ko_odds [numeric] |
Mean (sd) : 596.03 (638.93) min < med < max: -900 < 450 < 5000 IQR (CV) : 522.5 (1.07) |
635 distinct values | : : : : : : . : : : . |
1362 (19.0%) |
| b_ko_odds [numeric] |
Mean (sd) : 729.98 (699.02) min < med < max: -400 < 550 < 6600 IQR (CV) : 580 (0.96) |
605 distinct values | : : : : : . : : : . |
1389 (19.4%) |