Columbus Crew vs Inter Miami CF: the story of the match
28' — Columbus Crew took the lead: 1-0. J. Martinez scored from the penalty spot. 33' — Inter Miami CF equalised: 1-1. L. Messi scored it. Half time: 1-1.
90' — Columbus Crew went back in front: 2-1. J. Thiare scored it. It came in the closing minutes. 96' — S. Morales of Inter Miami CF was sent off. Columbus Crew won 2-1. The decisive goal came in the closing minutes.
Chances to win
Model estimate
FT
Start45'90'
Columbus CrewDrawInter Miami CF
Pre-match model estimate: Columbus Crew 42%, draw 24%, Inter Miami CF 34%.
How is this calculated?
This is our own statistical model: before kick-off, each team's strength comes from a global team rating built on our results — every league and cup on one scale, linked through European and other cross-league matches — blended with the league's own results when both teams play in it. During the match it is updated with the minute, the score, red cards and the last 15 minutes of pressure (a Poisson goal model with the Dixon-Coles correction for low scores). Without enough data on both teams we show no percentages. It is a probability, not a certainty.
Who is pressing?
No detailed data in this league — the pressure index is not guessed.
Previous meetings and form
The percentages in this tab are estimates of the ScoreMondo statistical model, not certainties.
Columbus Crew took the lead on 28 minutes thanks to J. Martinez from the penalty spot. L. Messi equalised for Inter Miami CF at 1-1 after 33 minutes. It was Columbus Crew 1-1 Inter Miami CF at half-time.
Columbus Crew went 2-1 up on 90 minutes thanks to J. Thiare. Inter Miami CF were a man down from the 96th minute, when S. Morales was sent off.
What it means
Inter Miami CF's 5-match unbeaten run is over. Columbus Crew had not beaten Inter Miami CF in any of the previous 5 meetings we have.
What’s next
Columbus Crew's next match is away to Chicago Fire on 7 November. Inter Miami CF host Charlotte FC next, on 7 November in MLS.
This text is written automatically from our match data; every number and name in it comes from that data.
MLS
