Combat Edge Intelligence

Karol Rosa vs Sara McMann

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

Compare any two fighters →

Tale of the tape

19-8-0Record14-7-0
BantamweightDivisionFeatherweight
5'7"Height5'5"
67"Reach66"
135 lbsWeight145 lbs
Parana Vale TudoTeamTeam Alpha Male

What's at stake

Karol Rosa is the Elo favorite, so a win banks only +11 while a loss costs more — Sara McMann carries the upset premium, with more to gain and less to lose.

Karol RosaNow 1647
If they win+11→ 1658
If they lose-13→ 1634
Sara McMannNow 1614
If they win+18→ 1632
If they lose-14→ 1600

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.

1634 · 10 fightsPre-fight Elo1609 · 10 fights

Tracked stat edges

5.88
Sig. strikes / min
2.26
56%
Strike accuracy
46%
4.59
Strikes absorbed / minLower is better
1.92
50%
Strike defense
48%
1.17
Takedown avg.
4.38
48%
Takedown accuracy
65%
70%
Takedown defense
50%
0.17
Submission avg.
0.50

Trajectory

Karol RosaSara McMann
1600165020222023202420252026

Win method breakdown

4 (21%)
KO/TKO
1 (7%)
2 (11%)
Submission
5 (36%)
13 (68%)
Decision
8 (57%)

Combat Edge model read

Karol Rosa70%
Sara McMann 30%Elo baseline: 55%

The Combat Edge model makes Karol Rosa a 70% favorite over Sara McMann in a hypothetical meeting — in line with the Elo baseline (55%).

Karol Rosa holds the higher Combat Edge Elo at 1647 to 1614, a 33-point edge.

Karol Rosa finishes 32% of wins inside the distance, Sara McMann 43%.

Karol Rosa and Sara McMann share 1 common opponent: Lina Länsberg.

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

Common opponents (1)

WinDecision (majority) · 2022
Lina Länsberg
WinDecision (unanimous) · 2020