Forest Rangers 0–0 Kansanshi Dynamos

Forest Rangers

FT

0 – 0

HT: 0 – 0

Kansanshi Dynamos

8/20/2022

Super League · Round 1Levy Mwanawasa Stadium

Match Prediction

Statistical Prediction

Based on goals from last 68+ matches

Forest Rangers43%

×Draw32%

Kansanshi Dynamos24%

✓ 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.

Forest RangersExpected goals in this matchKansanshi Dynamos

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.

1.08

0.73

Forest Rangers

1.08

Kansanshi Dynamos

0.73

Forest Rangers creates 48% more chances

Season form · 93 home / 68 away

1.06

creates per match

0.68

0.77

allows per match

1.10

creates per match

Forest Rangers

1.06

Kansanshi Dynamos

0.68

allows per match

Forest Rangers

0.77

Kansanshi Dynamos

1.10

+0.00on par

finishing

+0.00on par

finishing

Forest Rangers+0.00on par

Kansanshi Dynamos+0.00on par

Total goals

Under73
Over27

Fewer than 3 goals likely

Both teams score

No66
Yes34

One side may not score

Score probability

Probability of each scoreline, %

Forest Rangers ↓

Kansanshi Dynamos →

0

1

2

3

4

0

0–016%

0–112%

0–24%

0–31%

0–40%

1

1–018%

1–113%

1–25%

1–31%

1–40%

2

2–010%

2–17%

2–23%

2–31%

2–40%

3

3–03%

3–13%

3–21%

3–30%

3–40%

4

4–01%

4–11%

4–20%

4–30%

4–40%

Most likely 1–0 (18%) · grid covers 99% of scorelines

More markets

Total goals

OverUnder0.5

84%16%1.5

54%46%2.5

27%73%3.5

11%89%4.5

4%96%

Double chance

Forest Rangers or draw

76%

Forest Rangers or Kansanshi Dynamos

68%

Draw or Kansanshi Dynamos

57%

Winning margin

Forest Rangers wins by 2+

18%

Kansanshi Dynamos wins by 2+

7%

Team goals

Forest Rangers 1+ goals

66%

Forest Rangers 2+ goals

29%

Forest Rangers 3+ goals

10%

Kansanshi Dynamos 1+ goals

52%

Kansanshi Dynamos 2+ goals

17%

Kansanshi Dynamos 3+ goals

4%

Draw no bet

Forest Rangers (draw refunded)

64%

Kansanshi Dynamos (draw refunded)

36%

Combos

Both score & 3+ goals

21%

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

Forest Rangers at home — creates 1.06, concedes 0.77 · 93 matches

Kansanshi Dynamos away — creates 0.68, concedes 1.10 · 68 matches

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

2

Expected goals for this match

Forest Rangers attack 1.06 + Kansanshi Dynamos defence 1.10 → ÷2 → 1.08

Kansanshi Dynamos attack 0.68 + Forest Rangers defence 0.77 → ÷2 → 0.73

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 43%?"

Forest Rangers scores more

43%

level

32%

Kansanshi Dynamos scores more

24%

Forest Rangers at 43% 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 43% does not mean "Forest Rangers 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