Nice won 4 of the last 5WWWLW6th5–2Rennes won 2 of the last 5LLWLW8th
Match statistics
Full-time statistics
Nice
Rennes
17
Shots
18
8
Shots on target
9
4
Corners
7
8
Fouls
10
4
Yellow cards
3
0
Red cards
0
2
Offsides
3
421
Passes
467
47%
Possession %
53%
3.47
xG
2.66
28%
24%
48%
1 · NiceXRennes · 2
Over 1.5
84%
Over 2.5
62%
Over 3.5
40%
Both score
63%
Model pick
Rennes 48%
Likely score
1-1 11%
Expected goals
1.38 – 1.84
Advised bets
No advised bet on this fixture. The available prices are close enough to our own numbers that there is nothing worth backing. Most fixtures end up here, and manufacturing a selection for every game is exactly how tipster records get destroyed.
Our probabilities against the market
Our probability and fair price for every market we publish, next to the best price we last captured and the probability it implies (bookmaker margin included).
Market
Selection
Ours
Fair
Best price
Implied
Gap
Match result
Nice
28.5%
3.51
2.77 Betano
36.1%
-7.6
Match result
Draw
23.7%
4.21
3.90 Betfair
25.6%
-1.9
Match result
Rennes
47.8%
2.09
2.70 Betfair
37.0%
+10.7
Total goals
Over 1.5
83.6%
1.20
1.22 Betano
82.0%
+1.7
Total goals
Under 1.5
16.4%
6.11
5.50 Betfair
18.2%
-1.8
Total goals
Over 2.5
62.4%
1.60
1.67 Bet365
59.9%
+2.5
Total goals
Under 2.5
37.6%
2.66
2.55 Betfair
39.2%
-1.6
Total goals
Over 3.5
40.2%
2.49
2.63 Betfair
38.0%
+2.2
Total goals
Under 3.5
59.8%
1.67
1.62 Bet365
61.7%
-1.9
Both teams to score
Both teams to score — Yes
63.5%
1.58
1.53 William Hill
65.4%
-1.9
Both teams to score
Both teams to score — No
36.5%
2.74
2.70 William Hill
37.0%
-0.5
A positive gap means our probability is higher than the price implies. That is information, not a recommendation: a pick is only published where the gap clears our bar after allowing for model error, and those appear above.
Rennes favoured against Nice
Our model makes Nice 28% to win this Ligue 1 fixture, with the draw at 24% and Rennes at 48%. The goal projection is 1.38 for Nice against 1.84 for Rennes — a clear edge to Rennes on expected output. A combined 3.22 goals points to a high-tempo game with chances at both ends, which puts over 2.5 at 62% and both teams to score at 63%. The single most likely scoreline is 1-1 at 11%, though no individual scoreline is ever likely in absolute terms — that is the nature of a low-scoring sport. This sits in the awkward middle of the distribution, where the model has a view but not a strong one. All figures come from a Dixon–Coles adjusted Poisson model fitted on recent results and expected goals. They are estimates, not forecasts of fact.
Most likely scores
1-1 11%
1-2 9%
2-1 7%
0-1 7%
0-2 7%
This season
Season records for Nice and Rennes
Nice
Rennes
10
Played
10
5-2-3
W-D-L
5-1-4
1.70
Pts / game
1.60
1.50
Goals for / game
2.10
1.20
Goals against / game
2.10
60%
Over 2.5
90%
60%
BTTS
70%
20%
Clean sheets
20%
30%
Failed to score
10%
3-2-0
Home record
4-1-1
2-0-3
Away record
1-0-3
W3
Streak
L2
2026/27 league matches only, computed from results on record. Nice · Rennes
Full-match statistics, per game this season
Produced
Season per-match averages, produced
12.5
Shots
15.7
5.5
Shots on target
6.2
4.8
Corners
6.7
3.00
Cards
2.33
10.5
Fouls
11.5
47
Possession %
53
1.71
xG
2.26
6 matches
sample
6 matches
Conceded
Season per-match averages, conceded
14.0
Shots
13.8
5.8
Shots on target
6.3
4.5
Corners
3.7
2.03
Cards
2.83
9.7
Fouls
12.8
53
Possession %
47
1.61
xG
2.23
6 matches
sample
6 matches
Form comparison
Per-match averages over the last 5 matches (5 in sample), captured when this prediction was published and never recomputed since.
Nice
Metric
Rennes
1.20
Goals scored
2.20 (better)
1.20 (better)
Goals conceded
1.80
1.31
Expected goals (xG)
2.28 (better)
—
Big chances *
—
4.20
Shots on target
7.75 (better)
10.60
Total shots
18.50 (better)
—
Touches in opp. box *
—
5.40
Corners
8.50 (better)
53.4
Possession %
55.0 (better)
517 (better)
Passes
496
—
Tackles
—
8.80 (better)
Fouls
12.75
3.60
Offsides
1.50 (better)
—
Throw-ins *
—
2.20 (better)
Yellow cards
2.75
0.00
Red cards
0.00
* Big chances, Touches in opp. box, Throw-ins are not supplied by our current data provider (api-football). Rather than estimate them and present the estimate as a measurement, we show nothing.
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