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Match report · Niké Liga (Slovakia)

MFK Skalica 1:6 DAC 1904

MFK Skalica Home
DAC 1904 Away
16

DAC 1904 were the model's likeliest winner before kick-off at 49%. They won 6–1.

The model against the result

priced before kick-off
MFK Skalica
25%
Draw
27%
DAC 1904
49% What happened

Data coverage Both teams have the full 20-match model window available.

Recent form

Last 6 · xG per match
MFK Skalica

1.38 xG created 1.45 xGA

  • W 2.13 created, 1.29 conceded against FC Košice
  • L 0.04 created, 1.24 conceded against 1. FC Tatran Prešov
  • W 0.67 created, 0.42 conceded against MFK Ružomberok
  • W 1.95 created, 1.55 conceded against MFK Ružomberok
  • W 1.08 created, 3.25 conceded against MŠK Žilina
  • L 2.43 created, 0.93 conceded against FC Košice
DAC 1904

1.68 xG created 1.31 xGA

  • L 0.92 created, 1.11 conceded against ŠK Slovan Bratislava
  • L 1.61 created, 1.32 conceded against MFK Zemplín Michalovce
  • W 1.43 created, 1.31 conceded against FC Spartak Trnava
  • D 1.21 created, 2.41 conceded against MFK Ružomberok
  • W 2.68 created, 1.21 conceded against KFC Komárno
  • W 2.23 created, 0.49 conceded against FK Železiarne Podbrezová

xG created xG conceded (xGA) W / D / L: the match result

Head to head

MFK Skalica: 0 won · 1 drawn · 1 lost

Pre-match model & market record

2 opportunities flagged1 won1 lost

  • Won
  • Lost
View pre-match record
The outcomes the model flagged on MFK Skalica against DAC 1904 before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Over 2.5 goals 1.82 +16.6% Won
MFK Skalica to win 4.56 +3.0% Lost

Pre-match model vs market

Outcome Model Market Difference Fair odds
MFK Skalica 24.6% 20.7% +3.9 pp 4.06
Draw 26.7% 24.9% +1.7 pp 3.75
DAC 1904 48.7% 54.3% −5.7 pp 2.05

Other markets

Outcome Model Market Difference Fair odds
Over 2.5 goals 62.4% 52.5% +9.9 pp 1.60
Under 2.5 goals 37.6% 47.5% −9.9 pp 2.66

Prices and probabilities are the ones stored before kick-off; nothing here is recalculated. Edge is the model's probability times the price, minus one, so a flagged outcome that lost is the ordinary case rather than a contradiction.

Model details

Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
MFK Skalica sample
20 matches
DAC 1904 sample
20 matches
Computed
1 day before kick-off
Prices taken
7 hours before kick-off

Limitations

The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.