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UFC Fight Night: Smith vs. Rakic
Alexa Grasso
Alexa Grasso
11-3 · MEX
VS
Ji Yeon Kim
Ji Yeon Kim
9-2-2 · KOR
August 29, 2020 · Las Vegas, Nevada, USA
Flyweight · 3 rounds
126.0lb
Weigh-in
126.0lb
Alexa Grasso def. Ji Yeon Kim by U-DEC, R3 5:00
Performance
Round by round
SSTDKDCtrl
R1
Grasso36/770/000:00
Yeon Kim35/790/000:00
R2
Grasso36/730/000:00
Yeon Kim22/730/000:00
R3
Grasso16/321/202:07
Yeon Kim11/360/000:46
Total
Grasso88/1821/202:07
Yeon Kim68/1880/000:46

Scorecards

Grasso vs Yeon Kim

RdEric ColónJunichiro KamijoSal D'AmatoCommunity
R110-910-910-99.7-9.3
R210-910-910-910-9
R310-910-910-910-9
Total30-2730-2730-2729.7-27.3

Media (15 cards) · avg 29.827.2 · 15 Grasso · 0 Yeon Kim

Official cards + public consensus via MMA Decisions. Per round: Grasso-Yeon Kim.

Pre-fight

The model's read going in

The walk-forward model's call at the time of the bout — persisted out-of-sample, with no hindsight about the result.

Prediction
GrassoWin probabilityYeon Kim
67.2%32.8%
KO / TKO
28%
Submission
11%
Decision
61%
Expected fight time: 11.4 min
Retrospective pick: the walk-forward model's call at the time of the fight — persisted out-of-sample, with no hindsight about the result.
What drives the pick

Each bar is a feature's push on the model from the center axis. Red pushes toward Grasso, blue toward Yeon Kim. Tap a bar for why.

Predicted outcomes
Grasso67%
Wins by
Model
Equity
Mkt
KO / TKO20%29%
Submission4%6%
Decision43%65%
Predicted output
Sig. strikes67 (3888)act 88
Takedowns1.0 (0.03.0)act 1
Yeon Kim33%
Wins by
Model
Equity
Mkt
KO / TKO9%27%
Submission6%19%
Decision18%54%
Predicted output
Sig. strikes50 (2865)act 68
Takedowns0.1 (0.00.2)act 0
Combined totals~118 sig strikes~1.0 takedownsmkt —
How it ends
mkt —
R119%
R214%
R36%
Distance61%
Fighter props
Most sig. strikestie 0.9%
Grasso
63.0%-175
Yeon Kim
+17536.1%
Most takedownstie 44.0%
Grasso
49.6%-782
Yeon Kim
+7826.3%
Significant strikes — over/under
Grasso
Expected: 67.5
67.5
Over 67.5
42.5%
+135
Under 67.5
57.5%
-135
085169
Yeon Kim
Expected: 50.3
50.5
Over 50.5
42.2%
+137
Under 50.5
57.8%
-137
063126
Takedowns — over/under
Grasso
Expected: 1.0
1
Over 1
33.6%
+141
Exactly 1
18.9%
push
Under 1
47.5%
-141
035
Yeon Kim
Expected: 0.1
0
Over 0
11.1%
Exactly 0
88.9%
push
Under 0
0.0%
035

Odds are model-implied (no real prop market is priced for these). The “most” prices are draw-no-bet — a tie (for takedowns, usually 0–0) is a push, so each side is priced off its chance of winning given a result, while the % shown is the raw chance of landing strictly more. Drag a line in half-point steps: a half line (e.g. 2.5) is a clean over/under, while a whole number adds a third outcome — landing exactly on it, a push — so over, exact and under sum to 100%. On a whole number the over/under odds are draw-no-bet (priced off the decisive mass, since the push refunds), so the two sides stay mirror images rather than implying an arbitrage.

Expected fight time 11.4 min. Predicted-output ranges are percentiles of the model’s simulated fights: sig strikes the middle 50% (25th–75th); takedowns the wider 10th–90th, since they’re 0 in most fights so a narrow band would collapse to 0. Win-by-method = win probability × that fighter’s own method split: the model forecasts how the fight ends, and that forecast is divided between the corners by each fighter’s finishing record — UFC wins in full, earlier-career wins at half weight, as of fight night — reconciled so the fighters’ totals still equal their win probabilities and the methods still total the fight-level forecast above. “Equity” is each of those over that fighter’s win % — how they win given that they win — so a column adds to 100%, and it differs by corner. A fighter with no classifiable wins at any level leans on the fight-level split. “How it ends” is the model’s round-of-finish split. “Mkt” is the de-vigged market prop (consensus across books), shown for context, not as a betting signal; rounds & totals slots fill as that data lands. Percentages are apportioned by largest remainder, so each set adds to its total exactly and an individual figure can sit a point off its own rounding.

Model vs market
Final
ModelMarketGapLine
To win
Grasso67.2%71.5%−4.3-315
Yeon Kim32.8%28.5%+4.3+230

Market % is the de-vigged (no-vig) consensus across the books that price both fighters; the line is the average across books with the min–max range in parentheses. Gap is the model minus the market in points (+ = the model rates that outcome above the market). Thin or one-sided markets are flagged or left blank rather than shown as a fabricated %. Shown for context, not as a bet — the closing line is the sharpest public price and the model trails it on average. For 5-round bouts the model splits its round-3+ finish mass into rounds 3–5 by the historical within-bucket rate, so the over-3.5 / 4.5 lines carry a model estimate.

Trait web
71.9Striking59.3
Grasso +12.6
41.0Grappling11.1
Grasso +29.9
Str/minStr accStr defAbsorbedTD/15TD accTD defSubs
Hover a point to see the values
GrassoYeon Kim
Tale of the tape
Ratings (Elo)
1529
Pound-for-pound
1535
1532
Divisional
1548
1490
Striking offense
1502
1515
Striking defense
1500
1487
Grappling offense
1473
1504
Grappling defense
1513
Physical
27 yrs
Age
30 yrs
5'5"
Height
5'7"
66"
Reach
72"
Orthodox
Stance
Orthodox
Striking (UFC career)
5.25
Strikes landed / min
4.49
42%
Strike accuracy
34%
3.61
Strikes absorbed / min
4.74
63%
Strike defense
59%
Grappling (UFC career)
0.19
Takedowns / 15 min
0.00
33%
Takedown accuracy
0%
64%
Takedown defense
40%
0.6
Sub attempts / 15 min
0.0
Form & résumé
50%
UFC win rate
60%
-1
Win/loss streak
+1
40%
Last-5 win rate
60%
0%
Finish rate
33%
Recent opp. quality
343
Days since last fight
329
Recent form (last 5 UFC)
Alexa Grasso
  • LCarla EsparzaM-DEC R3
    Close -14511mo before
  • WKarolina KowalkiewiczU-DEC R3
    Close -1251y 3mo before
  • LTatiana SuarezSUB R1
    Close +4252y 3mo before
  • WRanda MarkosS-DEC R3
    Close -2203y 1mo before
  • LFelice HerrigU-DEC R3
    Close -3803y 7mo before
Ji Yeon Kim
  • WNadia KassemKO/TKO R2
    Close -17511mo before
  • LAntonina ShevchenkoU-DEC R3
    Close +2351y 9mo before
  • WMelinda FabianS-DEC R3
    Close -1702y 2mo before
  • WJustine KishS-DEC R3
    Close +1402y 7mo before
  • LLucie PudilovaU-DEC R3
    Close +1003y 2mo before
Grasso — win / loss by method
Record: 11-3-0

Bar length is fight count (largest bar = full width); shading splits finishes by round and decisions by unanimous vs split — tap a bar for the round-by-round count.

KO/TKO
4 wins, 0 losses
W
36% of wins
L
0% of losses
Submission
0 wins, 1 loss
W
0% of wins
L
33% of losses
Decision
7 wins, 2 losses
W
64% of wins
L
67% of losses
UFC
3win3loss0draw0NC
WinsLosses
0 (0%)KO/TKO(0%) 0
0 (0%)Submission(33%) 1
3 (100%)Decision(67%) 2
Non-UFC
8win0loss0draw0NC
WinsLosses
4 (50%)KO/TKO() 0
0 (0%)Submission() 0
4 (50%)Decision() 0
Yeon Kim — win / loss by method
Record: 9-2-2

Bar length is fight count (largest bar = full width); shading splits finishes by round and decisions by unanimous vs split — tap a bar for the round-by-round count.

KO/TKO
2 wins, 0 losses
W
22% of wins
L
0% of losses
Submission
3 wins, 0 losses
W
33% of wins
L
0% of losses
Decision
4 wins, 2 losses
W
44% of wins
L
100% of losses
UFC
3win2loss0draw0NC
WinsLosses
1 (33%)KO/TKO(0%) 0
0 (0%)Submission(0%) 0
2 (67%)Decision(100%) 2
Non-UFC
6win0loss2draw0NC
WinsLosses
1 (17%)KO/TKO() 0
3 (50%)Submission() 0
2 (33%)Decision() 0

Profiles

Experience
Grasso
Yeon Kim
6
UFC fights
5
77.7 min · 13.0 avg
Octagon time
70.0 min · 14.0 avg
13y 7m
Career length
12y 8m
UFC schedule strength

Opponents' records on fight night — toggle their full cross-promotional record vs UFC bouts only.

Grasso
Yeon Kim
56W–25L · 69.1%
Overall
27W–7L · 79.4%
26W–13L · 66.7%
Wins
15W–5L · 75.0%
30W–12L · 71.4%
Losses
12W–2L · 85.7%
Non-UFC schedule strength
Grasso
Yeon Kim
21W–9L · 70.0%
Overall
42W–18L · 70.0%
21W–9L · 70.0%
Wins
42W–18L · 70.0%
0W–0L
Losses
0W–0L
Distance striking
Grasso
Yeon Kim
6.42
Landed / min
5.47
37.3%
Accuracy
31.8%
68.4%
Defense
60.6%
0.00
Knockdowns / 15 min
0.21
63.5%
Time at distance
70.7%
Grappling & control
Grasso
Yeon Kim
0.19
Takedowns / 15 min
0.00
33.3%
Takedown accuracy
0.0%
63.6%
Takedown defense
40.0%
0.58
Sub attempts / 15 min
0.00
27.5%
Control share
32.9%
Strike target map
Grasso
  • Head62%(252)div 61%
  • Body20%(81)div 21%
  • Legs18%(75)div 18%
Yeon Kim
  • Head73%(230)div 61%
  • Body17%(53)div 21%
  • Legs10%(31)div 18%

Where each fighter lands significant strikes (career). “div” = the weight-class average.

Alexa Grasso
CloseSSTDKDCtrl

Per-fight: SS & TD shown landed/attempted; Close = consensus closing line.

Ji Yeon Kim
CloseSSTDKDCtrl

Per-fight: SS & TD shown landed/attempted; Close = consensus closing line.