Spain won 4 of the last 4WWWW4–1Croatia won 1 of the last 4LLLW
Match statistics
Full-time statistics
Spain
Croatia
16
Shots
5
7
Shots on target
2
6
Corners
2
9
Fouls
10
1
Yellow cards
4
0
Red cards
0
5
Offsides
0
620
Passes
345
64%
Possession %
36%
—
xG
—
31%
23%
46%
1 · SpainXCroatia · 2
Over 1.5
87%
Over 2.5
69%
Over 3.5
47%
Both score
69%
Model pick
Croatia 46%
Likely score
1-1 10%
Expected goals
1.59 – 1.94
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
Spain
31.4%
3.18
1.25 Betano
80.0%
-48.6
Match result
Draw
22.9%
4.36
7.50 Bet365
13.3%
+9.6
Match result
Croatia
45.7%
2.19
14.50 Betano
6.9%
+38.8
Total goals
Over 1.5
87.3%
1.15
1.14 Betano
87.7%
-0.4
Total goals
Under 1.5
12.7%
7.89
6.50 BetVictor
15.4%
-2.7
Total goals
Over 2.5
68.6%
1.46
1.45 Betano
69.0%
-0.4
Total goals
Under 2.5
31.4%
3.18
2.88 Betfair
34.7%
-3.3
Total goals
Over 3.5
47.1%
2.12
2.20 Betano
45.5%
+1.7
Total goals
Under 3.5
52.9%
1.89
1.75 Betano
57.1%
-4.2
Both teams to score
Both teams to score — Yes
68.8%
1.45
2.20 Bet365
45.5%
+23.3
Both teams to score
Both teams to score — No
31.2%
3.20
1.83 William Hill
54.6%
-23.4
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.
Croatia favoured against Spain
Our model makes Spain 31% to win this UEFA Nations League fixture, with the draw at 23% and Croatia at 46%. The goal projection is 1.59 for Spain against 1.94 for Croatia — a clear edge to Croatia on expected output. A combined 3.54 goals points to a high-tempo game with chances at both ends, which puts over 2.5 at 69% and both teams to score at 69%. The single most likely scoreline is 1-1 at 10%, 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 10%
1-2 9%
2-1 7%
2-2 7%
1-3 6%
This season
Season records for Spain and Croatia
Spain
Croatia
4
Played
4
4-0-0
W-D-L
1-0-3
3.00
Pts / game
0.75
3.00
Goals for / game
1.00
1.25
Goals against / game
3.50
100%
Over 2.5
100%
100%
BTTS
75%
0%
Clean sheets
0%
0%
Failed to score
25%
2-0-0
Home record
0-0-2
2-0-0
Away record
1-0-1
W4
Streak
L3
2026 league matches only, computed from results on record. Spain · Croatia
Full-match statistics, per game this season
Produced
Season per-match averages, produced
14.8
Shots
10.8
6.3
Shots on target
3.3
5.0
Corners
3.0
1.00
Cards
2.00
11.5
Fouls
10.3
65
Possession %
39
—
xG
—
4 matches
sample
4 matches
Conceded
Season per-match averages, conceded
8.3
Shots
12.5
3.5
Shots on target
5.5
2.8
Corners
4.8
3.50
Cards
1.25
11.5
Fouls
7.8
36
Possession %
61
—
xG
—
4 matches
sample
4 matches
Form comparison
Per-match averages over the last 5 matches (5 in sample), captured when this prediction was published and never recomputed since.
Spain
Metric
Croatia
1.80 (better)
Goals scored
1.60
0.60 (better)
Goals conceded
1.60
1.84 (better)
Expected goals (xG)
1.03
—
Big chances *
—
6.60 (better)
Shots on target
4.40
15.40 (better)
Total shots
10.60
—
Touches in opp. box *
—
5.00 (better)
Corners
3.60
58.4 (better)
Possession %
50.8
612 (better)
Passes
482
—
Tackles
—
15.00
Fouls
10.80 (better)
2.80
Offsides
1.60 (better)
—
Throw-ins *
—
0.80 (better)
Yellow cards
1.25
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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