Combat Edge Intelligence

Carlston Harris vs Keita Nakamura

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

19-8-0Record36-12-2
WelterweightDivisionLightweight
6'0"Height5'11"
76"Reach73,0"
170 lbsWeight156 lbs
Renovacao Fight TeamTeamUnited Gym Tokyo

What's at stake

The ratings are close, so the Elo swings are near-symmetric — the winner and loser trade a similar number of points either way.

Carlston HarrisNow 1690
If they win+16→ 1706
If they lose-16→ 1674
Keita NakamuraNow 1692
If they win+12→ 1704
If they lose-12→ 1680

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.

1679 · 10 fightsPre-fight Elo1637 · 10 fights

Tracked stat edges

3.79
Sig. strikes / min
2.23
44%
Strike accuracy
37%
3.46
Strikes absorbed / minLower is better
3.20
54%
Strike defense
59%
1.46
Takedown avg.
1.65
23%
Takedown accuracy
49%
56%
Takedown defense
64%
0.59
Submission avg.
0.35

Trajectory

Carlston HarrisKeita Nakamura
17001750202420252026

Win method breakdown

5 (26%)
KO/TKO
9 (25%)
6 (32%)
Submission
16 (44%)
8 (42%)
Decision
11 (31%)

Combat Edge model read

Carlston Harris70%
Keita Nakamura 30%Elo baseline: 50%

The Combat Edge model makes Carlston Harris a 70% favorite over Keita Nakamura in a hypothetical meeting — an upset call against the Elo baseline, which leans Keita Nakamura's way (50%).

Their Combat Edge Elo ratings are nearly level (1690 vs 1692), separated by just 2 points.

Carlston Harris enters on a 3-fight loss streak.

Carlston Harris finishes 58% of wins inside the distance, Keita Nakamura 69%.

Carlston Harris carries a 3-inch reach advantage.

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