The Ultimate Fight Fan
+ Log a bet
UFC Fight Night: Lewis vs. Browne
Gavin Tucker
Gavin Tucker
9-0 · CAN
VS
Sam Sicilia
Sam Sicilia
15-7 · USA
February 19, 2017 · Halifax, Nova Scotia, Canada
Featherweight · 3 rounds
Gavin Tucker def. Sam Sicilia by U-DEC, R3 5:00
Performance
Round by round
SSTDKDCtrl
R1
Tucker18/470/000:00
Sicilia2/120/000:00
R2
Tucker22/600/000:00
Sicilia2/240/000:00
R3
Tucker15/561/100:15
Sicilia6/510/000:26
Total
Tucker55/1631/100:15
Sicilia10/870/000:26

Scorecards

Tucker vs Sicilia

RdCraig SmithIan BridgemanSal D'AmatoCommunity
R110-910-910-910-8.9
R210-910-910-910-8.6
R310-910-910-99.9-9
Total30-2730-2730-2729.9-26.5

Media (17 cards) · avg 3026.9 · 17 Tucker · 0 Sicilia

Official cards + public consensus via MMA Decisions. Per round: Tucker-Sicilia.

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
TuckerWin probabilitySicilia
72.0%28.0%
KO / TKO
23%
Submission
22%
Decision
55%
Expected fight time: 10.3 min
What drives the pick

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

Predicted outcomes
Tucker72%
Wins by
Model
Equity
Mkt
KO / TKO15%21%
Submission18%24%
Decision39%55%
Predicted output
Sig. strikes42 (2355)act 55
Takedowns0.9 (0.02.8)act 1
Sicilia28%
Wins by
Model
Equity
Mkt
KO / TKO8%28%
Submission5%17%
Decision15%55%
Predicted output
Sig. strikes30 (1638)act 10
Takedowns0.3 (0.01.4)act 0
Combined totals~72 sig strikes~1.2 takedownsmkt —
How it ends
mkt —
R131%
R29%
R35%
Distance55%
Fighter props
Most sig. strikestie 1.4%
Tucker
64.9%-193
Sicilia
+19333.6%
Most takedownstie 39.2%
Tucker
44.9%-282
Sicilia
+28215.9%
Significant strikes — over/under
Tucker
Expected: 42.0
42
Over 42
41.6%
+136
Exactly 42
1.6%
push
Under 42
56.8%
-136
053105
Sicilia
Expected: 29.6
29.5
Over 29.5
42.7%
+134
Under 29.5
57.3%
-134
03774
Takedowns — over/under
Tucker
Expected: 0.9
1
Over 1
31.9%
+148
Exactly 1
21.0%
push
Under 1
47.2%
-148
035
Sicilia
Expected: 0.3
0.5
Over 0.5
25.9%
+286
Under 0.5
74.1%
-286
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 10.3 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
Tucker72.0%58.6%+13.4-160
Sicilia28.0%41.4%−13.4+130

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
Str/minStr accStr defAbsorbedTD/15TD accTD defSubs
Hover a point to see the values
TuckerSicilia
Tale of the tape
Ratings (Elo)
1530
Pound-for-pound
1513
1530
Divisional
1501
1500
Striking offense
1495
1500
Striking defense
1496
1500
Grappling offense
1478
1500
Grappling defense
1500
Physical
30 yrs
Age
31 yrs
5'6"
Height
5'8"
66"
Reach
67"
Southpaw
Stance
Orthodox
Striking (UFC career)
Strikes landed / min
2.76
Strike accuracy
36%
Strikes absorbed / min
3.53
Strike defense
58%
Grappling (UFC career)
Takedowns / 15 min
1.69
Takedown accuracy
43%
Takedown defense
74%
Sub attempts / 15 min
1.0
Form & résumé
UFC win rate
45%
Win/loss streak
-2
Last-5 win rate
40%
Finish rate
60%
Recent opp. quality
Days since last fight
155
Recent form (last 5 UFC)
Gavin Tucker
No prior UFC fights.
Sam Sicilia
  • LGabriel BenitezSUB R2
    Close -1205mo before
  • LDooho ChoiKO/TKO R1
    Close +2101y 3mo before
  • WYaotzin MezaU-DEC R3
    Close -2651y 7mo before
  • WAkira CorassaniKO/TKO R1
    Close +1202y 1mo before
  • LKatsunori KikunoSUB R2
    Close +1352y 5mo before
Tucker — win / loss by method
Record: 9-0-0

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
44% of wins
L
Submission
4 wins, 0 losses
W
44% of wins
L
Decision
1 win, 0 losses
W
11% of wins
L
UFC
0win0loss0draw0NC
WinsLosses
0 ()KO/TKO() 0
0 ()Submission() 0
0 ()Decision() 0
Non-UFC
9win0loss0draw0NC
WinsLosses
4 (44%)KO/TKO() 0
4 (44%)Submission() 0
1 (11%)Decision() 0
Sicilia — win / loss by method
Record: 15-7-0

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
8 wins, 2 losses
W
53% of wins
L
29% of losses
Submission
4 wins, 4 losses
W
27% of wins
L
57% of losses
Decision
3 wins, 1 loss
W
20% of wins
L
14% of losses
UFC
5win6loss0draw0NC
WinsLosses
3 (60%)KO/TKO(33%) 2
0 (0%)Submission(50%) 3
2 (40%)Decision(17%) 1
Non-UFC
10win1loss0draw0NC
WinsLosses
5 (50%)KO/TKO(0%) 0
4 (40%)Submission(100%) 1
1 (10%)Decision(0%) 0

Profiles

Experience
Tucker
Sicilia
0
UFC fights
11
Octagon time
88.7 min · 8.1 avg
Career length
18y 10m
UFC schedule strength

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

Tucker
Sicilia
Overall
149W–45L · 76.8%
Wins
62W–19L · 76.5%
Losses
87W–26L · 77.0%
Non-UFC schedule strength
Tucker
Sicilia
27W–27L · 50.0%
Overall
26W–23L · 53.1%
27W–27L · 50.0%
Wins
23W–23L · 50.0%
0W–0L
Losses
3W–0L · 100.0%
Distance striking
Tucker
Sicilia
Landed / min
3.04
Accuracy
29.3%
Defense
60.6%
Knockdowns / 15 min
0.17
Time at distance
59.0%
Grappling & control
Tucker
Sicilia
Takedowns / 15 min
1.69
Takedown accuracy
43.5%
Takedown defense
73.7%
Sub attempts / 15 min
1.01
Control share
74.0%
Strike target map
Tucker
  • Head0%(0)div 64%
  • Body0%(0)div 19%
  • Legs0%(0)div 17%
  • No strike data on record.
Sicilia
  • Head68%(166)div 64%
  • Body20%(50)div 19%
  • Legs12%(29)div 17%

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

Gavin Tucker

No UFC fights on record.

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

Sam Sicilia
CloseSSTDKDCtrl

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