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UFC Fight Night: Gamrot vs. Salkilld
Carol Foro
Carol Foro
9-1 · BRA
VS
Gigi Canuto
Gigi Canuto
7-1 · BRA
August 8, 2026 · Las Vegas, Nevada, USA
Strawweight · 3 rounds
115.0lb
Weigh-in
116.0lb
Carol Foro def. Gigi Canuto by U-DEC, R3 5:00
Performance
Round by round
SSTDKDCtrl
R1
Foro43/730/000:00
Canuto24/500/100:00
R2
Foro0/20/000:00
Canuto2/61/104:37
R3
Foro63/980/000:50
Canuto30/513/501:33
Total
Foro106/1730/000:50
Canuto56/1074/706:10

Scorecards

Foro vs Canuto

RdChris LeeEric ColónTony WeeksCommunity
R110-910-910-99.9-9.1
R29-109-109-108.8-10
R310-910-910-99.9-9.1
Total29-2829-2829-2828.6-28.2

Media (8 cards) · avg 2928 · 8 Foro · 0 Canuto

Official cards + public consensus via MMA Decisions. Per round: Foro-Canuto.

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
ForoWin probabilityCanuto
43.4%56.6%
KO / TKO
30%
Submission
17%
Decision
53%
Expected fight time: 10.6 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 Foro, blue toward Canuto. Tap a bar for why.

Predicted outcomes
Foro43%
Wins by
Model
Equity
Mkt
KO / TKO17%39%39%
Submission4%9%9%
Decision22%52%17%
Predicted output
Sig. strikes37 (1550)act 106
Takedowns0.4 (0.01.8)act 0
Canuto57%
Wins by
Model
Equity
Mkt
KO / TKO13%24%4%
Submission13%22%18%
Decision31%54%12%
Predicted output
Sig. strikes31 (1343)act 56
Takedowns1.9 (0.04.9)act 4
Combined totals~68 sig strikes~2.4 takedownsmkt —
How it ends
mkt —
R124%
R215%
R38%
Distance53%
Fighter props
Most sig. strikestie 1.4%
Foro
54.3%-122
Canuto
+12244.3%
Most takedownstie 16.0%
Foro
12.1%+597
Canuto
-59772.0%
Significant strikes — over/under
Foro
Expected: 36.8
37
Over 37
38.8%
+154
Exactly 37
1.3%
push
Under 37
59.9%
-154
04692
Canuto
Expected: 31.4
31.5
Over 31.5
39.7%
+152
Under 31.5
60.3%
-152
04079
Takedowns — over/under
Foro
Expected: 0.4
0.5
Over 0.5
38.0%
+163
Under 0.5
62.0%
-163
035
Canuto
Expected: 1.9
2
Over 2
40.0%
-102
Exactly 2
21.0%
push
Under 2
39.1%
+102
036

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 10.6 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
Foro43.4%64.9%−21.5-214
Canuto56.6%35.1%+21.5+171
By method
Foro by KO/TKO13.2%38.8%−25.6+119
Foro by submission7.3%9.0%−1.7+843
Foro by decision23.0%17.3%+5.7+390
Canuto by KO/TKO17.1%4.1%+13.0+1993
Canuto by submission9.4%18.5%−9.1+360
Canuto by decision30.0%12.2%+17.8+595
Total rounds (over)
Over 1.5 rds75.5%51.8%+23.7-124
Over 2.5 rds60.8%36.8%+24.0+153
Goes the distance
Fight goes to decision53.0%30.5%+22.5+207

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.

Tale of the tape
Ratings (Elo)
1527
Pound-for-pound
1523
1527
Divisional
1523
1500
Striking offense
1474
1533
Striking defense
1500
1494
Grappling offense
1561
1500
Grappling defense
1558
Physical
29 yrs
Age
23 yrs
5'2"
Height
5'2"
61"
Reach
64"
Orthodox
Stance
Orthodox
Striking (UFC career)
Strikes landed / min
Strike accuracy
Strikes absorbed / min
Strike defense
Grappling (UFC career)
Takedowns / 15 min
Takedown accuracy
Takedown defense
Sub attempts / 15 min
Form & résumé
UFC win rate
Win/loss streak
Last-5 win rate
Finish rate
Recent opp. quality
Days since last fight
Recent form (last 5 UFC)
Carol Foro
No prior UFC fights.
Gigi Canuto
No prior UFC fights.
Foro — win / loss by method
Record: 9-1-0

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
6 wins, 0 losses
W
67% of wins
L
0% of losses
Submission
1 win, 0 losses
W
11% of wins
L
0% of losses
Decision
2 wins, 1 loss
W
22% of wins
L
100% of losses
UFC
0win0loss0draw0NC
WinsLosses
0 ()KO/TKO() 0
0 ()Submission() 0
0 ()Decision() 0
Non-UFC
9win1loss0draw0NC
WinsLosses
6 (67%)KO/TKO(0%) 0
1 (11%)Submission(0%) 0
2 (22%)Decision(100%) 1
Canuto — win / loss by method
Record: 7-1-0

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
1 win, 0 losses
W
14% of wins
L
0% of losses
Submission
5 wins, 0 losses
W
71% of wins
L
0% of losses
Decision
1 win, 1 loss
W
14% of wins
L
100% of losses
UFC
0win0loss0draw0NC
WinsLosses
0 ()KO/TKO() 0
0 ()Submission() 0
0 ()Decision() 0
Non-UFC
7win1loss0draw0NC
WinsLosses
1 (14%)KO/TKO(0%) 0
5 (71%)Submission(0%) 0
1 (14%)Decision(100%) 1

Profiles

Experience
Foro
Canuto
0
UFC fights
0
Octagon time
Career length
UFC schedule strength

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

Foro
Canuto
Overall
Wins
Losses
Non-UFC schedule strength
Foro
Canuto
13W–13L · 50.0%
Overall
22W–14L · 61.1%
13W–13L · 50.0%
Wins
18W–13L · 58.1%
0W–0L
Losses
4W–1L · 80.0%
5 of Foro's non-UFC opponents have no record in our data, so this is understated. Refresh data to fill them in.
Distance striking
Foro
Canuto
Landed / min
Accuracy
Defense
Knockdowns / 15 min
Time at distance
Grappling & control
Foro
Canuto
Takedowns / 15 min
Takedown accuracy
Takedown defense
Sub attempts / 15 min
Control share
Strike target map
Foro
  • Head0%(0)div 61%
  • Body0%(0)div 23%
  • Legs0%(0)div 16%
  • No strike data on record.
Canuto
  • Head0%(0)div 61%
  • Body0%(0)div 23%
  • Legs0%(0)div 16%
  • No strike data on record.

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

Carol Foro

No UFC fights on record.

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

Gigi Canuto

No UFC fights on record.

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