NEOM won 2 of the last 5WWLLD5th2–0Abha won 0 of the last 5DLLLD18th
Match statistics
Full-time statistics
NEOM
Abha
13
Shots
6
5
Shots on target
2
5
Corners
4
12
Fouls
12
0
Yellow cards
2
0
Red cards
0
1
Offsides
4
493
Passes
351
58%
Possession %
42%
1.39
xG
0.74
53%
25%
22%
1 · NEOMXAbha · 2
Over 1.5
75%
Over 2.5
50%
Over 3.5
28%
Both score
52%
Model pick
NEOM 53%
Likely score
1-1 12%
Expected goals
1.67 – 0.99
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
NEOM
52.6%
1.90
1.57 Betano
63.7%
-11.0
Match result
Draw
25.5%
3.93
4.40 Dafabet
22.7%
+2.7
Match result
Abha
21.9%
4.57
6.00 Betfair
16.7%
+5.2
Total goals
Over 1.5
75.1%
1.33
1.25 Betano
80.0%
-4.9
Total goals
Under 1.5
24.9%
4.01
4.33 Betfair
23.1%
+1.8
Total goals
Over 2.5
49.8%
2.01
1.75 Betano
57.1%
-7.4
Total goals
Under 2.5
50.2%
1.99
2.12 Betano
47.2%
+3.0
Total goals
Over 3.5
27.8%
3.59
2.90 Betano
34.5%
-6.7
Total goals
Under 3.5
72.2%
1.39
1.45 Betano
69.0%
+3.2
Both teams to score
Both teams to score — Yes
51.7%
1.93
1.82 Betano
54.9%
-3.2
Both teams to score
Both teams to score — No
48.3%
2.07
2.02 Betano
49.5%
-1.2
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.
NEOM favoured against Abha
Our model makes NEOM 53% to win this Saudi Pro League fixture, with the draw at 25% and Abha at 22%. The goal projection is 1.67 for NEOM against 0.99 for Abha — a substantial edge to NEOM on expected output. A combined 2.67 goals points to an open game around the league average, which puts over 2.5 at 50% and both teams to score at 52%. The single most likely scoreline is 1-1 at 12%, 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 12%
1-0 11%
2-0 10%
2-1 10%
0-0 8%
This season
Season records for NEOM and Abha
NEOM
Abha
12
Played
11
7-1-4
W-D-L
0-3-8
1.83
Pts / game
0.27
1.50
Goals for / game
0.64
0.83
Goals against / game
1.73
33%
Over 2.5
45%
33%
BTTS
55%
33%
Clean sheets
9%
33%
Failed to score
45%
4-0-2
Home record
0-2-3
3-1-2
Away record
0-1-5
W2
Streak
D1
2026/27 league matches only, computed from results on record. NEOM · Abha
Full-match statistics, per game this season
Produced
Season per-match averages, produced
11.2
Shots
8.5
3.4
Shots on target
3.0
5.2
Corners
5.5
1.40
Cards
2.00
13.2
Fouls
12.3
56
Possession %
43
1.22
xG
0.84
5 matches
sample
4 matches
Conceded
Season per-match averages, conceded
10.8
Shots
9.5
2.6
Shots on target
3.8
2.6
Corners
5.0
1.80
Cards
1.00
12.0
Fouls
11.8
44
Possession %
57
1.16
xG
1.38
5 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.
NEOM
Metric
Abha
2.80 (better)
Goals scored
0.25
0.60 (better)
Goals conceded
1.00
1.72 (better)
Expected goals (xG)
0.43
—
Big chances *
—
4.50 (better)
Shots on target
1.25
13.75 (better)
Total shots
7.00
—
Touches in opp. box *
—
6.00 (better)
Corners
1.50
53.8 (better)
Possession %
38.3
445 (better)
Passes
294
—
Tackles
—
10.25
Fouls
8.75 (better)
3.00
Offsides
2.00 (better)
—
Throw-ins *
—
1.75
Yellow cards
1.75
—
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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