Awassa Kenema 1–1 Sidama Bunna: Result & Stats

Awassa Kenema

FT

1 – 1

HT: 1 – 0

Sidama Bunna

5/11/2024

Premier League · Round 24Hawassa Stadium

Match Prediction

Statistical Prediction

Based on goals from last 102+ matches

Awassa Kenema37%

×Draw28%

Sidama Bunna35%

✓ 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.

Awassa KenemaExpected goals in this matchSidama Bunna

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.

1.17

1.14

Awassa Kenema

1.17

Sidama Bunna

1.14

Both teams create about equally

Season form · 102 home / 102 away

1.23

creates per match

1.19

1.09

allows per match

1.11

creates per match

Awassa Kenema

1.23

Sidama Bunna

1.19

allows per match

Awassa Kenema

1.09

Sidama Bunna

1.11

+0.00on par

finishing

+0.00on par

finishing

Awassa Kenema+0.00on par

Sidama Bunna+0.00on par

Total goals

Under59
Over41

Fewer than 3 goals likely

Both teams score

No53
Yes47

One side may not score

Score probability

Probability of each scoreline, %

Awassa Kenema ↓

Sidama Bunna →

0

1

2

3

4

0

0–010%

0–111%

0–26%

0–32%

0–41%

1

1–012%

1–113%

1–28%

1–33%

1–41%

2

2–07%

2–18%

2–24%

2–32%

2–40%

3

3–03%

3–13%

3–22%

3–31%

3–40%

4

4–01%

4–11%

4–21%

4–30%

4–40%

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

More markets

Total goals

OverUnder0.5

90%10%1.5

67%33%2.5

41%59%3.5

20%80%4.5

8%92%

Double chance

Awassa Kenema or draw

65%

Awassa Kenema or Sidama Bunna

72%

Draw or Sidama Bunna

63%

Winning margin

Awassa Kenema wins by 2+

15%

Sidama Bunna wins by 2+

14%

Team goals

Awassa Kenema 1+ goals

69%

Awassa Kenema 2+ goals

33%

Awassa Kenema 3+ goals

11%

Sidama Bunna 1+ goals

68%

Sidama Bunna 2+ goals

32%

Sidama Bunna 3+ goals

11%

Draw no bet

Awassa Kenema (draw refunded)

51%

Sidama Bunna (draw refunded)

49%

Combos

Both score & 3+ goals

34%

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

Awassa Kenema at home — creates 1.23, concedes 1.09 · 102 matches

Sidama Bunna away — creates 1.19, concedes 1.11 · 102 matches

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

2

Expected goals for this match

Awassa Kenema attack 1.23 + Sidama Bunna defence 1.11 → ÷2 → 1.17

Sidama Bunna attack 1.19 + Awassa Kenema defence 1.09 → ÷2 → 1.14

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 37%?"

Awassa Kenema scores more

37%

level

28%

Sidama Bunna scores more

35%

Awassa Kenema at 37% 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 37% does not mean "Awassa Kenema 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