Al-Raed 0–2 Al-Fayha: Result & Stats | Pro League

Al-Raed

FT

0 – 2

HT: 0 – 0

Al-Fayha

2/15/2025

Pro League · Round 20King Abdullah Sport City Stadium

Match Prediction

Statistical Prediction

Based on goals from last 109+ matches

Al-Raed41%

×Draw26%

Al-Fayha33%

✓ Correct in 50 of 100 matches — 5 more than always backing the home side

Model

50.3%

Always home

44.5%

The model picks a winner (home or away) for each finished match using only pre-kickoff data, then checks it against the real result: 50.3% correct across 582,450 matches, vs 44.5% for always backing the home side.

Home picks 50.5% correct · Away picks 49.5% correct

Football matches only. Past performance is not indicative of future results.

Al-RaedExpected goals in this matchAl-Fayha

Expected goals in this match

What is xG?

Every shot is scored 0–1 by how likely it is to be a goal from that spot — a chance in the middle of the box ≈ 0.4, a long shot from a tight angle ≈ 0.03, a penalty ≈ 0.76. Add them up over a match and that is the xG.

The scoreline can lie: you can win 1-0 on a fluke while creating half the chances. xG shows who was really closer to scoring — and over a season it predicts results better than goals alone.

1.43

1.25

Al-Raed

1.43

Al-Fayha

1.25

Al-Raed creates 14% more chances

Season form · 109 home / 111 away

1.23

creates per match

0.96

1.54

allows per match

1.63

creates per match

Al-Raed

1.23

Al-Fayha

0.96

allows per match

Al-Raed

1.54

Al-Fayha

1.63

+0.00on par

finishing

+0.00on par

finishing

Al-Raed+0.00on par

Al-Fayha+0.00on par

Total goals

Under50
Over50

Close call

Both teams score

Yes54
No46

Both teams likely to score

Score probability

Probability of each scoreline, %

Al-Raed ↓

Al-Fayha →

0

1

2

3

4

0

0–07%

0–19%

0–25%

0–32%

0–41%

1

1–010%

1–112%

1–28%

1–33%

1–41%

2

2–07%

2–19%

2–25%

2–32%

2–41%

3

3–03%

3–14%

3–23%

3–31%

3–40%

4

4–01%

4–11%

4–21%

4–30%

4–40%

Most likely 1–1 (12%) · grid covers 98% of scorelines

More markets

Total goals

OverUnder0.5

93%7%1.5

75%25%2.5

50%50%3.5

28%72%4.5

13%87%

Double chance

Al-Raed or draw

67%

Al-Raed or Al-Fayha

74%

Draw or Al-Fayha

59%

Winning margin

Al-Raed wins by 2+

20%

Al-Fayha wins by 2+

14%

Team goals

Al-Raed 1+ goals

76%

Al-Raed 2+ goals

42%

Al-Raed 3+ goals

17%

Al-Fayha 1+ goals

71%

Al-Fayha 2+ goals

36%

Al-Fayha 3+ goals

13%

Draw no bet

Al-Raed (draw refunded)

56%

Al-Fayha (draw refunded)

44%

Combos

Both score & 3+ goals

42%

Both score & under 3

12%

Model probabilities, not odds. For information only.

How is this calculated?

Every number below comes from this match — nothing is made up.

1

Recent form of each side

Al-Raed at home — creates 1.23, concedes 1.54 · 109 matches

Al-Fayha away — creates 0.96, concedes 1.63 · 111 matches

⚑ Home and away form are counted separately — the home-field edge is already baked into these numbers.

2

Expected goals for this match

Al-Raed attack 1.23 + Al-Fayha defence 1.63 → ÷2 → 1.43

Al-Fayha attack 0.96 + Al-Raed defence 1.54 → ÷2 → 1.25

Each side's attack is blended with the other's defence, then averaged.

3

Chance of every scoreline

From those two numbers a Poisson distribution gives the probability of each exact score — the grid shown above.

4

The answer to "why 41%?"

Al-Raed scores more

41%

level

26%

Al-Fayha scores more

33%

Al-Raed at 41% is simply the biggest of the three — that is the pick.

What the model can't see

It reads only the stats of recent matches. It knows nothing about:

injuries & suspensions
the matchday lineup
motivation — cup, relegation, a title race
weather & pitch condition
in-game coaching decisions

So 41% does not mean "Al-Raed will win" — it means "on the available stats, this is the most likely result."

Statistical model based on expected goals (xG). For informational purposes only.

Probable lineups not yet announced

Starting lineups are usually confirmed ~1 hour before kickoff