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Task EnterprisesClub FootballIntelligence

United States · Major League Soccer

Columbus Crew

COL· 21,188 capacity

Position

8

PO

Played

33

Points

44

13W 5D 15L

Goal difference

+6

55 scored, 49 against

Expected goals

48.6

42.6 against

Points vs expectedest.

-4.4

48.4 expected

Form

Recent form, oldest first: W, W, W, W, W
Where the season ends0%to win it

From 8,000 simulated seasons.

Win the leagueest.

0.0%

Top fourest.

0.0%

European placeest.

0.0%

Relegationest.

0.0%

Projected pointsest.

44

likely 44–47

Projected finishest.

16th

range 13–17

Power rating

1534

#12 in the division

Attack / defenceest.

70 / 90

75 is league average

Squad19

19 players from 14 countries.

USA5Denmark1France1Cape Verde1Algeria1+9 more
Squad by position, ordered by minutes played
PlayerMinutesGAShare of goals
GK
28Patrick Schulte18000—
DF
25Sean Zawadzki1801025%
18Malte Amundsen18000—
31Steven Moreira17400—
3Eric Bailly600—
MF
7Dylan Chambost18002—
16Taha Habroune17900—
23Mohamed Farsi16100—
21Anass Zaroury1481125%
11Brooks Lennon9000—
17Sékou Bangoura7100—
20André Gomes3200—
2Andrés Herrera3000—
50Tarun Karumanchi2000—
FW
8Santiago Rodríguez1531025%
33Gonzalo Tapia1501025%
77Josef Martínez1900—
26Lautaro Giaccone1600—
19Jamal Thiaré1100—

Ordered by minutes within each position, so the first-choice side sits at the top. Share of goals is measured against this squad’s 4 in the same matches these minutes come from — never against the league table, whose season is longer than the window player data covers. That window is 40 of 495 matches.

Season by season17 seasons
Finishing position, 2010 to 20262010: 5 of 16 in the MLS, 50 points2011: 9 of 18 in the MLS, 47 points2012: 10 of 22 in the MLS, 52 points2013: 16 of 19 in the MLS, 41 points2014: 7 of 19 in the MLS, 52 points2015: 4 of 20 in the MLS, 53 points2016: 18 of 20 in the MLS, 36 points2017: 5 of 22 in the MLS, 54 points2018: 10 of 23 in the MLS, 51 points2019: 20 of 24 in the MLS, 38 points2020: 3 of 26 in the MLS, 41 points2021: 17 of 27 in the MLS, 47 points2022: 16 of 28 in the MLS, 46 points2023: 3 of 29 in the MLS, 57 points2024: 2 of 29 in the MLS, 66 points2025: 12 of 30 in the MLS, 54 points2026: 14 of 30 in the MLS, 44 points
Best22024Worst202019Seasons17

First place is at the top. A change of division breaks the line, because 8th in one is not 8th in another.

Show data
Finishing position by season
SeasonCompetitionPosPts
2026MLS14 of 3044
2025MLS12 of 3054
2024MLS2 of 2966
2023MLS3 of 2957
2022MLS16 of 2846
2021MLS17 of 2747
2020MLS3 of 2641
2019MLS20 of 2438
2018MLS10 of 2351
2017MLS5 of 2254
2016MLS18 of 2036
2015MLS4 of 2053
2014MLS7 of 1952
2013MLS16 of 1941
2012MLS10 of 2252
2011MLS9 of 1847
2010MLS5 of 1650
Honours0 titles
  • Campeones Cup0
  • Carolina Challenge Cup0
  • CONCACAF Champions Cup0
  • Leagues Cup0
  • MLS0
  • Mobile Mini Sun Cup0
  • Open Cup0
  • World Pro Soccer Classic0
In the dugout7 managers
Manager by season, with points per game
SeasonManagerW–D–LPts / game
2026Henrik RydströmMLS3–4–7
0.93
2026Laurent CourtoisMLS10–1–8
1.63
2025Wilfried NancyMLS14–12–8
1.59
2024Wilfried NancyMLS19–9–6
1.94
2023Wilfried NancyMLS16–9–9
1.68
2022Caleb PorterMLS10–16–8
1.35
2021Ezra HendricksonMLS3–0–1
2.25
2021Caleb PorterMLS10–7–12
1.28
2020Caleb PorterMLS12–5–6
1.78
2019Caleb PorterMLS10–8–16
1.12
2018Josh WolffMLS14–9–11
1.50
2017Gregg BerhalterMLS4–1–3
1.63
2017Josh WolffMLS12–5–8
1.64
2016Gregg BerhalterMLS8–12–14
1.06
2015Gregg BerhalterMLS15–8–11
1.56
2014Gregg BerhalterMLS14–10–10
1.53

One row per season, which is the grain the source supplies — a manager who stayed four years appears four times. Points per game is what makes spells of different lengths comparable.

The groundScottsMiracle-Gro Field
CityColumbus, OhioCapacity21,188Opened2021SurfaceGrass

Results

Recent

Columbus
3–0FT
DC United
  • Sean Zawadzki 16'
  • Anass Zaroury 41'
  • Kimito Nono (og) 61'
    1.46xG1.10
    Dallas
    0–2FT
    Columbus
      • Gonzalo Tapia 18'
      • Santiago Rodríguez 70'
      1.05xG1.41
      Columbus
      4–2FT
      Toronto
      Cincinnati
      0–2FT
      Columbus
      Columbus
      3–1FT
      Charlotte FC

      Fixtures

      Next up

      Chicago
      Columbus
      Where the chances come from23 shots

      Every shot taken, filterable by situation, body part and outcome.

      Shot map — Columbus Crew
      Shots23Goals4xG2.97Conversion17%xG per shot0.129Big chances4

      Marker area is expected-goal value. Filled markers are goals; a heavier outline is a big chance (our threshold, not the provider’s).

      Show data
      Every shot for Columbus Crew
      xGBodySituationOutcome
      0.58left footopen playgoal
      0.55right footfast breaksaved
      0.40headset piecegoal
      0.38left footopen playgoal
      0.25headopen playsaved
      0.10right footopen playoff target
      0.09headcorneroff target
      0.07right footopen playoff target
      0.07right footopen playblocked
      0.06right footopen playgoal
      0.06right footopen playblocked
      0.05right footopen playoff target
      0.05left footopen playblocked
      0.04right footopen playoff target
      0.04right footopen playoff target
      0.03left footfast breakblocked
      0.03left footopen playsaved
      0.03headset pieceoff target
      0.02right footopen playblocked
      0.02left footopen playoff target
      0.02right footopen playoff target
      0.02right footcorneroff target
      0.02right footopen playblocked
      In the table8th on 44
      Major League Soccer table. Ranked by points, then wins, then goal-difference, then goals-for, then disciplinary, then away-goals.
      #ClubPlGDPts1st
      5
      Charlotte FC
      		33+1553
      0%
      6
      Philadelphia*
      		33+1147
      0%
      7
      Cincinnati
      		33-646
      0%
      8
      Columbus*
      		33+644
      0%
      9
      Orlando
      		33-1643
      0%
      10
      NY Red Bulls*
      		33-1739
      0%
      11
      NYCFC
      		33+339
      0%
      MLS Cup play-offs

      * Level on points — separated by the tiebreaker shown on hover.

      Chances of finishing top of the regular season are Monte Carlo estimates over the remaining fixturesest. A shown 0% means it did not occur in 8,000 simulated seasons — not that it is impossible. The play-offs themselves are not simulated.