Combat Edge Intelligence

Jason Saggo vs Rustam Khabilov

Side-by-side comparison: records, physical profile, Combat Edge Elo, win methods, tracked UFC stats, and common opponents.

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Tale of the tape

13-4-0Record24-4-0
LightweightDivisionWelterweight
5'11"Height5'8"
71,0"Reach40,5"
155 lbsWeight170 lbs
Wulfrun MMATeamJackson-Wink MMA

What's at stake

Rustam Khabilov is the Elo favorite, so a win banks only +8 while a loss costs more — Jason Saggo carries the upset premium, with more to gain and less to lose.

Jason SaggoNow 1675
If they win+21→ 1696
If they lose-11→ 1664
Rustam KhabilovNow 1785
If they win+8→ 1793
If they lose-16→ 1769

Projected for a decision result at current ratings. A finish (KO/TKO or submission) scales the swing up by roughly 20–25%.

Opponent quality

Average pre-fight Elo of each fighter's latest 10 counted pro MMA opponents. Higher means the recent schedule was stronger; later opponent results do not rewrite the score.

1594 · 10 fightsPre-fight Elo1706 · 10 fights

Tracked stat edges

2.50
Sig. strikes / min
1.98
40%
Strike accuracy
34%
2.94
Strikes absorbed / minLower is better
2.16
52%
Strike defense
66%
2.33
Takedown avg.
3.95
40%
Takedown accuracy
42%
23%
Takedown defense
61%
0
Submission avg.
0.09

Trajectory

Jason SaggoRustam Khabilov
1650170017501800201720182019

Win method breakdown

3 (23%)
KO/TKO
4 (17%)
9 (69%)
Submission
5 (21%)
1 (8%)
Decision
15 (63%)

Combat Edge model read

Rustam Khabilov77%
Jason Saggo 23%Elo baseline: 65%

The Combat Edge model makes Rustam Khabilov a 77% favorite over Jason Saggo in a hypothetical meeting — in line with the Elo baseline (65%).

Rustam Khabilov holds the higher Combat Edge Elo at 1785 to 1675, a 110-point edge.

Jason Saggo finishes 92% of wins inside the distance, Rustam Khabilov 38%.

Jason Saggo and Rustam Khabilov share 1 common opponent: Leandro Silva.

Model estimate for a hypothetical bout, generated from Combat Edge Elo, form, and career stats. Not a betting recommendation.

Common opponents (1)

WinDEC · 2016
Leandro Silva
WinDEC · 2016