Al-Ittihad FC vs Damac Statistics & Analysis

Al-Ittihad FC

May 10, 2026 - 18:00

2 1.46

1 0.83

xG Accuracy: 82%

Damac

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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

Market Prediction Result Outcome
Over / Under 2.5 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
Both Teams To Score BTTS No Yes ✖ Incorrect
1X2 Al-Ittihad FC Al-Ittihad FC ✔ Correct
Correct Score Insights 1-0 2-1 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

League: Pro League
Fixture: Al-Ittihad FC vs Damac
Kickoff: 2026-05-07 17:00:00
1X2 (model): Home 50.4% · Draw 29.8% · Away 19.7%
xG (showing): Al-Ittihad FC 1.46 — Damac 0.83 (total xG ≈ 2.29)
Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
Model: 59.9% · Implied: 41.9% · Probability edge: +18.0 pts · Est. EV: +37.8%
BTTS (model): Yes 44.9% · No 55.1%
Correct score (top bin): 1-0 (14.8%)

Totals and BTTS are evaluated against current market prices where available.

1X2 can look balanced even when side markets show clearer structure.

Best Bet + Reason

Primary pick from the decision engine: Under 2.5 goals.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

When several markets sit near +EV, keep stakes small — correlation means edges do not add cleanly.

FAQ

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

Why might 1X2 look unattractive while totals do not?

Tight 1X2 prices often embed a fair three-way split, so EV on match-winner can sit negative even when Over/Under or BTTS still diverges from the model — compare the 1X2 row on the market cards to O/U and BTTS.

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

Risk Factors

Price movement: implied probabilities and EV move with odds.
Sample / data gaps: low-information leagues widen forecast bands.
In-play state: goals and red cards are not modelled here.
Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Methodology

Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
Compliance: Educational framing only; not personalised advice.

Last Updated

May 17, 2026 (UTC)

How to use this

Focus on the Primary line when you want one actionable idea.
Do not parlay many thin-edge picks together; edges do not add reliably.
Treat longshots as optional, high-stake-sizing plays only.

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Back to Statistics

Pro League — Standings

#	TEAM	MP	W	D	L	PTS
1	Al-Nassr	33	27	2	4	83
2	Al-Hilal Saudi FC	33	24	9	0	81
3	Al-Ahli Jeddah	33	24	6	3	78
4	Al-Qadisiyah FC	33	22	8	3	74
5	Al-Ittihad FC	32	16	7	9	55
6	Al Taawon	33	15	8	10	53
7	Al-Ettifaq	33	14	7	12	49
8	NEOM	33	12	8	13	44
9	Al-Hazm	33	10	9	14	39
10	Al-Fayha	33	10	8	15	38
11	Al Khaleej Saihat	33	10	7	16	37
12	Al-Fateh	33	9	9	15	36
13	Al Kholood	33	9	5	19	32
14	Al Shabab	32	7	11	14	32
15	Damac	33	6	11	16	29
16	Al Riyadh	33	6	9	18	27
17	Al Okhdood	33	5	5	23	20
18	Al Najma	33	2	7	24	13

#	TEAM	MP	GS	GC	+/-	PTS
1	Al-Nassr	33	87	27	+60	83
2	Al-Hilal Saudi FC	33	84	27	+57	81
3	Al-Qadisiyah FC	33	78	33	+45	74
4	Al-Ahli Jeddah	33	67	24	+43	78
5	Al Taawon	33	59	44	+15	53
6	Al Khaleej Saihat	33	53	58	-5	37
7	Al-Ittihad FC	32	52	40	+12	55
8	Al-Ettifaq	33	50	54	-4	49
9	NEOM	33	42	47	-5	44
10	Al-Fayha	33	41	53	-12	38
11	Al Shabab	32	41	54	-13	32
12	Al-Fateh	33	41	55	-14	36
13	Al Kholood	33	39	61	-22	32
14	Al-Hazm	33	36	57	-21	39
15	Al Riyadh	33	34	63	-29	27
16	Damac	33	31	51	-20	29
17	Al Najma	33	31	76	-45	13
18	Al Okhdood	33	27	69	-42	20

#	TEAM	MP	xG	xGC	+/-	PTS
1	Al-Nassr	33	65.9	24.9	+41.0	83
2	Al-Hilal Saudi FC	33	63.9	24.5	+39.4	81
3	Al-Ahli Jeddah	33	54.1	23.6	+30.5	78
4	Al-Qadisiyah FC	33	58.8	33.4	+25.4	74
5	Al-Ittihad FC	32	47.6	37.0	+10.6	55
6	NEOM	33	43.5	36.8	+6.7	44
7	Al Shabab	32	43.1	43.3	-0.2	32
8	Al Taawon	33	41.1	42.2	-1.1	53
9	Al Khaleej Saihat	33	39.8	41.3	-1.5	37
10	Al-Fateh	33	40.9	43.5	-2.6	36
11	Al-Fayha	33	33.1	42.3	-9.2	38
12	Al Riyadh	33	40.3	50.0	-9.7	27
13	Damac	33	24.2	37.4	-13.2	29
14	Al-Hazm	33	31.7	46.5	-14.8	39
15	Al Kholood	33	30.9	47.0	-16.1	32
16	Al-Ettifaq	33	38.4	54.9	-16.5	49
17	Al Najma	33	26.8	60.1	-33.3	13
18	Al Okhdood	33	25.0	60.7	-35.7	20