Slow starters
0/7Abha haven't scored first in any of their last 7 (league 47%).
Abha vs Al Faisaly Prediction, Stats & Betting Tips
Pro League - Season 2026/2027 (Round 8)
Unlucky
Abha are taking fewer points than their chances usually bring
−4points fewer than their chances usually bring in their last 7 with xG
83% of teams this far behind their chances got more points in their next 10 games.
Bookmakers: Abha 46% to winAl Faisaly 29%
Abha vs Al Faisaly score prediction
Pro League
The goals we expect each side to score, not an exact score: built from both teams' chances, the bookmakers' view and real goals here.
Evenly matched in front of goal
2.6 goals in total: fewer goals than usual (the Pro League average is 3.0).
goals expected
Abha1.4
Al Faisaly1.2Calculated by MyGameOdds · xG: our own model
How it works
We look at how many chances each team has created and allowed in its recent games in this league, what the bookmakers expected from those games, and the goals actually scored. Then we compare that with how many goals home and away teams usually score here.
Does it work? Since July 2025, our numbers have been 7% closer to the real goals than just using the league average.
How we measure →Get our AI football prediction and stats for Abha vs Al Faisaly: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.
Abha vs Al Faisaly — Our Model vs the Bookmakers
Market check · Pro League
For each market: our model’s probability for this match, the bookmakers’ probability from the current odds (margin removed), whether the two agree, and how often our predictions like this one came true over the last 12 months. When they disagree, the bookmakers’ number has usually been the better guide.
How to read it
our model’s probabilitybookmakers’ probabilityAgreesDisagreesour model’s pick is / is not the bookmakers’ favouriteTrack record: finished matches from the last 12 months
Full-Time Result →Agrees with bookmakers
Our model’s pick
Abha to win
Our model 51%Bookmakers 46%
Our track record
In 2,428 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 54.5% of the time (bookmakers said 55.0%).
Both Teams to Score →Agrees with bookmakers
Our model’s pick
Yes, both score
Our model 56%Bookmakers 50%
Our track record
In 5,501 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 56.8% of the time (bookmakers said 57.7%).
Over/Under 2.5 Goals →Disagrees with bookmakers
Our model’s pick
Over 2.5 goals
Our model 56%Bookmakers 47%
Our track record
In 793 matches over the last 12 months where our model gave the same pick a 55–60% chance but the bookmakers favoured a different outcome, it came true 47.4% of the time: closer to the bookmakers’ 46.3% than to our 55–60%.
Over/Under 3.5 Goals →Agrees with bookmakers
Our model’s pick
Under 3.5 goals
Our model 66%Bookmakers 75%
Our track record
In 3,821 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.2% of the time (bookmakers said 66.9%).
First Half Result →Disagrees with bookmakers
Our model’s pick
Abha ahead at half-time
Our model 39%Bookmakers 34%
Our track record
In 1,157 matches over the last 12 months where our model gave the same pick a 35–40% chance but the bookmakers favoured a different outcome, it came true 36.0% of the time: closer to the bookmakers’ 35.2% than to our 35–40%.
Abha Goals →Disagrees with bookmakers
Our model’s pick
Abha 2+ goals
Our model 51%Bookmakers 44%
Our track record
In 1,805 matches over the last 12 months where our model gave the same pick a 50–55% chance but the bookmakers favoured a different outcome, it came true 41.9% of the time: closer to the bookmakers’ 43.8% than to our 50–55%.
Al Faisaly Goals →Agrees with bookmakers
Our model’s pick
Al Faisaly 0–1 goals
Our model 71%Bookmakers 70%
Our track record
In 3,266 matches over the last 12 months where our model gave the same pick a 70–75% chance and the bookmakers agreed, it came true 71.7% of the time (bookmakers said 72.2%).
Odds can still move before kick-off. The track record uses closing odds.
Abha vs Al Faisaly — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for Abha vs Al Faisaly. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
Abha–
Al Faisaly–Winner
1 51%
BTTS*
Yes 56%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 56%
Abha–Al Faisaly–Winner
1 51%
BTTS*
Yes 56%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 56%
Full Time
151%
X25%
225%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 21% | 79% | 44% | 56% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 56% | 44% | 80% | 20% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 20% | 80% | 49% | 51% |
| 38% | 62% | 71% | 29% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 74% | 26% | 90% | 10% |
| 89% | 11% | 97% | 3% |
1st Half
139%
X38%
223%
1st Score
158%
X6%
236%
Half Time/Full Time
1-1
33%
X-1
15%
X-X
14%
2-2
14%
X-2
9%
1-X
5%
2-X
5%
2-1
3%
1-2
2%
Correct Score
1-1
11.2%
2-1
10.1%
1-0
8.9%
2-0
7.9%
0-1
6.3%
1-2
6.3%
0-0
6.1%
2-2
5.5%
3-1
5.4%
3-0
5.1%
3-2
3.3%
0-2
3.1%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Abha vs Al Faisaly: the stats that stand out
Pro League
Where each side is most unusual compared with the rest of the league: clean sheets, scoring first, wins as favourites and more.
How to read it
the teamleague averageshare of games, 0 to 100%Abha: slow starters and shot-shy
0/7Shot-shy
3/7Abha failed to score in 3 of their last 7 (league 25%).
Calculated by MyGameOdds
How it works
We compare each team's last 10 games in this competition with how often the same thing happens across the whole league (last 12 months). A fact only shows when the team is noticeably different from a typical team. For example, if teams here score first in half their games, a team needs 7 or more out of 10 (or 3 or fewer). We show up to three facts, the most unusual first, never two about the same thing. They describe what happened, not a forecast.
How we measure →Abha vs Al Faisaly: attack vs defence
Pro League
Both sides' chances created and allowed a game, next to the rest of the league, measured with our own xG.
How to read it
other Pro League teamsleague averagelast 10 games↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
- Abha: weak attack, weak defence (1.07 xG, 1.53 xGA a game)
- Al Faisaly: weak attack, weak defence (0.81 xG, 1.84 xGA)
Calculated by MyGameOdds · xG: our own model
How it works
xG is our estimate of how many goals a team's chances were worth, from the shots in each match; xGA is the same for the chances it allowed. The dashed lines are the average of the teams shown. A team close to a line is about average. Teams with fewer than 5 games here aren't in the chart yet.
How we measure →Abha vs Al Faisaly form and luck check
Pro League
Whether each side is taking more or fewer points than its chances usually bring.
How to read it
what their chances usually bringoutside the normal range (±4)last 10 Pro League gamesAbha are taking fewer points than their chances usually bring
- AbhaBookmakers: 46% to win today. · 7 of 10 games−4.3
- Al FaisalyBookmakers: 29% to win today. · 7 of 10 games−1.1
Last 5 matches
Al FaisalyL
D
D
L
D
AbhaD
L
L
L
D
W
D
L
Strength rank: Abha 16th of 18 · Al Faisaly 18th of 18
Calculated by MyGameOdds · xG: our own model
How it works
For each of a team's last 10 games, we work out how many points a team usually gets from a game with those chances (xG) for and against, add them up and compare with the points it actually got. We do the same for goals. Strong teams often get a bit more than their chances suggest, so we compare each team with sides of similar strength in this league. That way nobody is flagged just for being good.
We flag a team when the gap is 4 points or more (or 3 goals or more). If some games have no xG data, we use the ones that do.
Does it mean anything? 85% of teams 4+ points ahead of their chances got fewer points in their next 10 games, and 83% of teams 4+ points behind got more. Bookmakers already expect these gaps to even out, so it's a fan's read, not a betting edge.
Strength rank: we rank this season's 18 teams by how much better their attack is than their defence, using chances (xG), the odds and goals. Does it work? Over the first half of a season, this rank predicted the second half better than the league table did.
How we measure →Abha vs Al Faisaly: Over 2.5 & BTTS?
Pro League
How often each side's recent league games had over 2.5 goals and both teams scoring.
How to read it
a game where it happenedleague averageup to 10 recent Pro League gamesBTTS = both teams scoredAl Faisaly games go over 2.5 goals less often than the Pro League average (55%), Abha games more often.
Over 2.5 goalsleague 55%
Abha4 of 7
Al Faisaly3 of 7
BTTSleague 57%
Abha4 of 7
Al Faisaly4 of 7
Calculated by MyGameOdds
How it works
For each team we take its last 10 games in this competition from the past 12 months (fewer if it hasn't played 10) and count how many went over 2.5 goals and how many had both teams scoring. The league figure uses all 333 games played here in the last 12 months.
How we measure →Abha vs Al Faisaly corners, cards and goal times
Pro League
Each side's corners and cards a game, and when it scores and concedes, from its recent league games.
How to read it
league averagelast 10 in the league · corners and cards per gameAbha: last 7 with these statsAl Faisaly: last 7 with these statsAbha score late
Abha
Al Faisaly
2.9
Corners won · league 5.0
2.1
4.1
Corners conceded · league 5.0
4.7
2.3
Cards · league 2.1
2.0
1.4
Opponents' cards · league 2.1
1.4
20%
Goals before half-time · league 46%
40%
40%
Goals after 75' · league 24%
20%
54%
Conceded before half-time · league 46%
62%
15%
Conceded after 75' · league 24%
8%
Calculated by MyGameOdds
How it works
We use each team's last 10 games here. Corners and cards only count games where those stats were recorded, and goal times only count games with reliable goal minutes, so some teams have fewer than 10. We compare with the whole league over the last 12 months.
How we measure →Our prediction record
Our last 5 predictions in each team’s matches, by market.
Full-Time Result
Abha1/5
Al Faisaly2/5
Both Teams to Score
Abha3/5
Al Faisaly3/5
Over/Under 2.5 Goals
Abha2/5
Al Faisaly2/5
Over/Under 3.5 Goals
Abha4/5
Al Faisaly3/5
First Half Result
Abha4/5
Al Faisaly4/5
Correct Score
Abha2/5
Al Faisaly1/5
correct predictionwrong prediction