Motherwell
Motherwell are 9th in the Premiership after 7 matches in the 2026/2027 season. They have won 2 matches, scored 9 goals and conceded 11.
They average 1.29 goals per match and have kept a clean sheet in 29% of their league matches.
- Competition
- Premiership (Scotland)
- Season
- 2026/2027
- Position
- 9 of 12Based on completed matches
- Team Strength
- 41.0FootyCabin rating, 0–100
- Founded
- 1886
- Form
- Draw
- Draw
- Win
- Loss
- Loss
- Loss
Team intelligence
What stands out
- Possession & TerritoryMore possession than most teams, with an average number of corners.
- Secure PossessionKeeps the ball more than most league teams and completes a high share of its passes.
- Failed to scoreFailed to score in 43% of league matches.
Season summary
Calculated from completed matches only. Scheduled matches are never counted.
- Matches played
- 7
- Wins
- 2
- Draws
- 2
- Losses
- 3
- Goals scored
- 9
- Goals conceded
- 11
- Goal difference
- -2
- Points
- 8
1.14 per match
Efficiency Rates
Success rates for passing, shooting, dribbling, duels and defending.
| Statistic | Rate |
|---|---|
| Pass accuracy | 89.5% |
| Shots on target rate | 28.1% |
| Dribble success | 59.2% |
| Duel win rate | 48.2% |
| Aerial win rate | 119.7% |
| Tackle success | 67.4% |
0–100% scale
Team performance
Team totals built from recorded player statistics in 7 completed matches.
| Statistic | Total | Per match | Matches with data |
|---|---|---|---|
| Shots | 89 | 12.71 | 7 |
| Shots on target | 25 | 4.17 | 6 |
| Passes | 3,779 | 539.86 | 7 |
| Accurate passes | 3,381 | 483.00 | 7 |
| Passes into the final third | 322 | 46.00 | 7 |
| Key passes | 77 | 11.00 | 7 |
| Chances created | 73 | 10.43 | 7 |
| Successful dribbles | 61 | 8.71 | 7 |
| Tackles | 89 | 12.71 | 7 |
| Interceptions | 35 | 5.83 | 6 |
| Clearances | 145 | 20.71 | 7 |
| Ball recoveries | 263 | 37.57 | 7 |
| Duels | 552 | 78.86 | 7 |
| Duels won | 266 | 38.00 | 7 |
| Aerial duels | 66 | 9.43 | 7 |
| Aerial duels won | 79 | 11.29 | 7 |
| Goalkeeper saves | 15 | 3.00 | 5 |
These are calculated from player data rather than official team totals. A dash or "not available" means no value was recorded. It never means zero.
How this team plays
See how this team's playing style compares with the rest of the league. Higher scores mean the team shows more of that style, not that it is better.
Team style
Secure Possession
Keeps the ball more than most league teams and completes a high share of its passes.
Style summary: Possession-oriented. A descriptive summary of the profile below, not a rating.
- Possession88
Possession is well above the league average. (61.0%, 7 fixtures)
- Attacking output54
Attacking output is around the league average. (14.86 per match, 7 fixtures)
- Chance creation54
Chance creation is around the league average. (11.71 per match, 7 fixtures)
- Defensive activity13
Defensive activity is well below the league average. (67.29 per match, 7 fixtures)
- Ball security96
Ball security is well above the league average. (88.2%, 7 fixtures)
Scores run from 0 to 100 and compare this team with the 12 teams in the same league and season. Higher means more of that characteristic, not better.
Style context
Shows how this team's playing-style characteristics relate to league performance patterns this season.
This is descriptive context, not evidence that a playing style causes better or worse results.
- Attacking outputTeam score: 54High-attacking output teams: 1.96 points / matchLow-attacking output teams: 0.92 points / match
This team sits between the league's high and low attacking output groups.
High-attacking output teams average 1.04 more points per match than low-attacking output teams.
- PossessionTeam score: 88High-possession teams: 2.02 points / matchLow-possession teams: 1.04 points / match
This team is in the league's high-possession group.
High-possession teams average 0.98 more points per match than low-possession teams.
- Chance creationTeam score: 54High-chance creation teams: 2.08 points / matchLow-chance creation teams: 1.14 points / match
This team sits between the league's high and low chance creation groups.
High-chance creation teams average 0.94 more points per match than low-chance creation teams.
Possession profile
Territory context
Possession & Territory
More possession than most teams, with an average number of corners.
- Possession:
- 88 / 100
- Corners:
- 54 / 100
Scores run from 0 to 100 and compare this team with the rest of the league. Higher means more of that characteristic, not better performance.
- Average possession
- 61.0%
- Home
- 66.0%
- Away
- 57.3%
Based on 7 of 7 completed matches.
Recent results
Latest completed matches, newest first.
| Date | Opponent | Venue | Score | Result | Competition |
|---|---|---|---|---|---|
| 19 Sept 2026 | Dundee | Away | 1–2 | Loss | Premiership |
| 15 Sept 2026 | Aberdeen | Home | 0–4 | Loss | Premiership |
| 05 Sept 2026 | Rangers | Away | 0–1 | Loss | Premiership |
| 02 Sept 2026 | Dundee United | Home | 3–0 | Win | Premiership |
| 30 Aug 2026 | St. Mirren | Away | 3–3 | Draw | Premiership |
| 09 Aug 2026 | Falkirk | Home | 0–0 | Draw | Premiership |
| 02 Aug 2026 | Hibernian | Away | 2–1 | Win | Premiership |
Home and away
Home and away records this season. One of the samples is still small, so early comparisons should be treated with caution.
| Split | P | W | D | L | GF | GA | GD | Pts |
|---|---|---|---|---|---|---|---|---|
| Home | 3 | 1 | 1 | 1 | 3 | 4 | -1 | 4 |
| Away | 4 | 1 | 1 | 2 | 6 | 7 | -1 | 4 |
Attack & defence
How the team has performed in attack and defence across completed league matches this season.
Attack
Defence
Match pattern
Standout players
The team's leading players by FootyCabin Impact Score this season. Players are shown once they have enough match data.
- 1Joe HodgeView player
Defensive midfielder
Impact 67.1·Ball Security 93.2
Possession Midfielder
Best category: Ball Security
Squad
Players used this season, ordered by minutes played. Impact Score is shown once a player has enough match data.
| Player | Role | |||||
|---|---|---|---|---|---|---|
| Alex Paulsen | Goalkeeper | 7 | 630 | — | — | 57.5 |
| Martin Moormann | Centre back | 7 | 605 | — | — | 53.5 |
| Lukas Fadinger | Defensive midfielder | 7 | 599 | 1 | — | 54.1 |
| Emmanuel Longelo | Full back | 7 | 566 | — | — | 49.6 |
| Tom Sparrow | Full back | 7 | 538 | — | 2 | 62.2 |
| Tawanda Maswanhise | Winger | 7 | 484 | 1 | 2 | 42.7 |
| Alex Lowry | Attacking midfielder | 7 | 451 | 2 | 1 | 66.3 |
| Ibrahim Said | Winger | 6 | 413 | 1 | — | 46.0 |
| Joe Hodge | Defensive midfielder | 5 | 409 | — | — | 67.1 |
| Jake Girdwood-Reich | Centre back | 6 | 405 | — | — | 61.1 |
| Regan Charles-Cook | Striker | 6 | 291 | 1 | — | Sample too small |
| Jamie Knight-Lebel | Centre back | 4 | 250 | — | — | Sample too small |
| Jardell Kanga | Striker | 5 | 232 | 1 | — | Sample too small |
| S. Palmer-Houlden | Striker | 5 | 231 | 1 | — | Sample too small |
| Willy Vogt | Winger | 5 | 191 | — | — | Sample too small |
| Oscar Priestman | Defensive midfielder | 2 | 172 | — | — | Sample too small |
| D. Williams | Full back | 4 | 151 | — | 1 | Sample too small |
| Eythor Bjørgolfsson | Role not established | 5 | 74 | — | — | Sample too small |
| Dylan Levitt | Role not established | 3 | 70 | 1 | — | Sample too small |
| Stephen O'Donnell | Role not established | 2 | 66 | — | — | Sample too small |
| Mikey Booth | Attacking midfielder | 1 | 46 | — | — | Sample too small |
| John Koutroumbis | Role not established | 1 | 26 | — | — | Sample too small |
| Ewan Wilson | Role not established | 2 | 22 | — | — | Sample too small |
| Olly Whyte | Role not established | 1 | 8 | — | — | Sample too small |
Appearances and minutes are from completed matches. Players who have played for more than one club this season are marked.
Squad by role
Players grouped by position. Impact data is shown only when there is enough match data.
Centre back
- Jake Girdwood-ReichView player
Impact 61.1·Defensive Reliability 93.8
- View player
Full back
Defensive midfielder
Winger
Team impact leaders
The team's highest Impact Scores this season, alongside each player's playing style. Playing style describes how they play, not how good they are. How this is built
- 1Joe HodgeDefensive midfielderPossession Midfielder67.1/100
- 2Alex LowryAttacking midfielderArchetype not available66.3/100
- 3Tom SparrowFull backWide Distributor62.2/100
Squad archetype profile
The most common playing styles in the squad this season.
- Possession Midfielder229%
- Ball-Playing Defender114%
- Creative Full-Back114%
- Direct Winger114%
- Inside Forward114%
- Wide Distributor114%
Based on 7 players with enough data for a playing-style classification.
Player contributions
Team leaders for minutes, goals, assists and Impact Score this season.
Most minutes
All completed fixtures this season.
- 1Alex Paulsen630minutes
- 2Martin Moormann605minutes
- 3Lukas Fadinger599minutes
- 4Emmanuel Longelo566minutes
- 5Tom Sparrow538minutes
Most goals
Season totals from imported match data.
- 1Alex Lowry2goals
- 2Lukas Fadinger1goals
- 3Tawanda Maswanhise1goals
- 4Ibrahim Said1goals
- 5Regan Charles-Cook1goals
Most assists
Season totals from imported match data.
- 1Tom Sparrow2assists
- 2Tawanda Maswanhise2assists
- 3Alex Lowry1assists
- 4D. Williams1assists
Highest Impact Score
Only players who meet the publishable sample and coverage rules.
- 1Joe Hodge67.1/ 100
- 2Alex Lowry66.3/ 100
- 3Tom Sparrow62.2/ 100
- 4Jake Girdwood-Reich61.1/ 100
- 5Alex Paulsen57.5/ 100
Methodology
Data source
Match, lineup, event and player statistics come from Sportmonks and are stored per fixture. Only completed fixtures with recorded minutes are aggregated. Announced lineups and future fixtures are excluded.
Per 90 minutes
A per-90 value scales a season total to a full match: total × 90 ÷ minutes played. It is not calculated when minutes are missing or zero.
Missing data
The provider omits some statistics instead of sending a zero. A missing value is shown as "not available" and never converted to 0, so rates and percentiles are only produced where the underlying fields genuinely exist.
Impact Score
The Football Performance Lab Impact Score is an experimental in-house model that combines role-relative percentile families with explicit weights. It is not an official rating and not a measure of transfer value.
Minimum samples
Values are calculated internally from 180 minutes, but a player is only shown publicly with a ranked Impact Score from 360 minutes and 5 appearances, with at least 90% metric coverage and an established role. A single appearance contributes a match impact observation from 30 minutes.