BG Pathum United 1–0 Thai Honda FC: Result & Stats

BG Pathum United

FT

1 – 0

Thai Honda FC

5/12/2019

Thai League 2 · Round 12LEO Stadium (Thanyaburi, Pathum Thani)

Match Prediction

Statistical Prediction

Based on goals from last 17+ matches

BG Pathum United65%

×Draw21%

Thai Honda FC15%

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

Model

50%

Always home

44.6%

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% correct across 579,794 matches, vs 44.6% for always backing the home side.

Home picks 50.2% correct · Away picks 49.2% correct

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

BG Pathum UnitedExpected goals in this matchThai Honda FC

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.

2.02

0.84

BG Pathum United

2.02

Thai Honda FC

0.84

BG Pathum United creates 140% more chances

Season form · 17 home / 31 away

2.53

creates per match

1.16

0.53

allows per match

1.52

creates per match

BG Pathum United

2.53

Thai Honda FC

1.16

allows per match

BG Pathum United

0.53

Thai Honda FC

1.52

+0.00on par

finishing

+0.00on par

finishing

BG Pathum United+0.00on par

Thai Honda FC+0.00on par

Total goals

Over54
Under46

3+ goals likely

Both teams score

No51
Yes49

Close call

Score probability

Probability of each scoreline, %

BG Pathum United ↓

Thai Honda FC →

0

1

2

3

4

0

0–06%

0–15%

0–22%

0–31%

0–40%

1

1–012%

1–110%

1–24%

1–31%

1–40%

2

2–012%

2–110%

2–24%

2–31%

2–40%

3

3–08%

3–17%

3–23%

3–31%

3–40%

4

4–04%

4–13%

4–21%

4–30%

4–40%

Most likely 1–0 (12%) · grid covers 95% of scorelines

More markets

Total goals

OverUnder0.5

94%6%1.5

78%22%2.5

54%46%3.5

32%68%4.5

16%84%

Double chance

BG Pathum United or draw

85%

BG Pathum United or Thai Honda FC

79%

Draw or Thai Honda FC

35%

Winning margin

BG Pathum United wins by 2+

40%

Thai Honda FC wins by 2+

5%

Team goals

BG Pathum United 1+ goals

87%

BG Pathum United 2+ goals

60%

BG Pathum United 3+ goals

33%

Thai Honda FC 1+ goals

57%

Thai Honda FC 2+ goals

21%

Thai Honda FC 3+ goals

5%

Draw no bet

BG Pathum United (draw refunded)

81%

Thai Honda FC (draw refunded)

19%

Combos

Both score & 3+ goals

39%

Both score & under 3

10%

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

BG Pathum United at home — creates 2.53, concedes 0.53 · 17 matches

Thai Honda FC away — creates 1.16, concedes 1.52 · 31 matches

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

2

Expected goals for this match

BG Pathum United attack 2.53 + Thai Honda FC defence 1.52 → ÷2 → 2.02

Thai Honda FC attack 1.16 + BG Pathum United defence 0.53 → ÷2 → 0.84

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 65%?"

BG Pathum United scores more

65%

level

21%

Thai Honda FC scores more

15%

BG Pathum United at 65% 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 65% does not mean "BG Pathum United 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