Hilal Obayed 0–0 Al Hilal Port Sudan

Hilal Obayed

FT

0 – 0

Al Hilal Port Sudan

2/26/2021

Sudani Premier League · Round 13Khartoum Stadium

Match Prediction

Statistical Prediction

Based on goals from last 57+ matches

Hilal Obayed40%

×Draw29%

Al Hilal Port Sudan31%

✓ Correct in 50 of 100 matches — 6 more than always backing the home side

Model

49.7%

Always home

44.3%

The model picks a winner (home or away) for each finished match using only pre-kickoff data, then checks it against the real result: 49.7% correct across 106,786 matches, vs 44.3% for always backing the home side.

Home picks 50.7% correct · Away picks 47.3% correct

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

Hilal ObayedExpected goals in this matchAl Hilal Port Sudan

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.

1.18

1.02

Hilal Obayed

1.18

Al Hilal Port Sudan

1.02

Hilal Obayed creates 16% more chances

Season form · 58 home / 57 away

1.33

creates per match

1.21

0.84

allows per match

1.02

creates per match

Hilal Obayed

1.33

Al Hilal Port Sudan

1.21

allows per match

Hilal Obayed

0.84

Al Hilal Port Sudan

1.02

+0.00on par

finishing

+0.00on par

finishing

Hilal Obayed+0.00on par

Al Hilal Port Sudan+0.00on par

Total goals

Under62
Over38

Fewer than 3 goals likely

Both teams score

No56
Yes44

One side may not score

Score probability

Probability of each scoreline, %

Hilal Obayed ↓

Al Hilal Port Sudan →

0

1

2

3

4

0

0–011%

0–111%

0–26%

0–32%

0–40%

1

1–013%

1–113%

1–27%

1–32%

1–41%

2

2–08%

2–18%

2–24%

2–31%

2–40%

3

3–03%

3–13%

3–22%

3–31%

3–40%

4

4–01%

4–11%

4–20%

4–30%

4–40%

Most likely 1–0 (13%) · grid covers 99% of scorelines

More markets

Total goals

OverUnder0.5

89%11%1.5

65%35%2.5

38%62%3.5

18%82%4.5

7%93%

Double chance

Hilal Obayed or draw

69%

Hilal Obayed or Al Hilal Port Sudan

71%

Draw or Al Hilal Port Sudan

60%

Winning margin

Hilal Obayed wins by 2+

17%

Al Hilal Port Sudan wins by 2+

12%

Team goals

Hilal Obayed 1+ goals

69%

Hilal Obayed 2+ goals

33%

Hilal Obayed 3+ goals

12%

Al Hilal Port Sudan 1+ goals

64%

Al Hilal Port Sudan 2+ goals

27%

Al Hilal Port Sudan 3+ goals

8%

Draw no bet

Hilal Obayed (draw refunded)

56%

Al Hilal Port Sudan (draw refunded)

44%

Combos

Both score & 3+ goals

31%

Both score & under 3

13%

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

Hilal Obayed at home — creates 1.33, concedes 0.84 · 58 matches

Al Hilal Port Sudan away — creates 1.21, concedes 1.02 · 57 matches

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

2

Expected goals for this match

Hilal Obayed attack 1.33 + Al Hilal Port Sudan defence 1.02 → ÷2 → 1.18

Al Hilal Port Sudan attack 1.21 + Hilal Obayed defence 0.84 → ÷2 → 1.02

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 40%?"

Hilal Obayed scores more

40%

level

29%

Al Hilal Port Sudan scores more

31%

Hilal Obayed at 40% 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 40% does not mean "Hilal Obayed 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