· Europa Conference League
Lincoln Red Imps
ATT
4/10
DEF
5/10
1:4
FC Twente Enschede
6/10
ATT
6/10
DEF
Full-time
Best Pick
Under 2.5
53%
Correct Score93′
Top
1-1
12.6%
15.00
Top
0-1
10.6%
12.00
1-0
9.2%
41.00
1-2
8.6%
11.00
0-0
7.7%
26.00
2-1
7.5%
34.00
0-2
7.2%
8.00
2-0
5.5%
67.00
133%
3.06
X27%
3.77
241%
2.45TOP
1X60%
X268%
1274%
xG — Expected Goals
Lincoln Red Imps
Lincoln Red Imps exp
FC Twente Enschede
FC Twente Enschede exp
goal
per 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Lincoln Red Imps
FC Twente Enschede
Confirmed XI4-4-2
13
Hankins
66
Eersteling
6
Lopes
3
Rutjens
21
Nano
19
Idrissi
22
Torrilla
8
Mandi
10
Mula
11
Romero
9
Gómez
Impact Player Hot Head
Lincoln Red Imps26 players
No squad metrics available
Jaylan HankinsGK
Mark HammGK
Nauzet GarcíaGK
Bernardo LopesDEF
Christian RutjensDEF
Ethan BrittoDEF
Ethan JolleyDEF
Gabri CardozoDEF
Julliani EerstelingDEF
A. CoulibalyMID
Graeme TorrillaMID
JoeMID
MandiMID
FC Twente Enschede29 players
55.2/ 99Strong
Top Rated
1Ramiz ZerroukiMID96
2Filip ThorvaldsenFWD83
3Daouda WeidmannMID76
Player Rankings
Snipers
Top goal threats
1
Filip ThorvaldsenFC Twente Enschede
99
2
Lucas Vennegoor of HesselinkFC Twente Enschede
82
3
Sam LammersFC Twente Enschede
64
4
Marko PjacaFC Twente Enschede
52
5
Wout WeghorstFC Twente Enschede
52
Wall
Top defenders
1
Stav LemkinFC Twente Enschede
68
2
Max BrunsFC Twente Enschede
59
3
Robin PröpperFC Twente Enschede
54
4
R. NijstadFC Twente Enschede
45
5
Krzysztof KurowskiFC Twente Enschede
43
Control
Top playmakers
1
Ramiz ZerroukiFC Twente Enschede
99
2
Mathias KjøløFC Twente Enschede
77
3
Daouda WeidmannFC Twente Enschede
64
4
Arno VerschuerenFC Twente Enschede
56
5
Jordy BawuahFC Twente Enschede
55
Bad Boys
Most likely to get booked
1
Taylor BoothFC Twente Enschede
6
2
Wout WeghorstFC Twente Enschede
17
3
Max BrunsFC Twente Enschede
24
4
Marko PjacaFC Twente Enschede
34
5
Thomas van den BeltFC Twente Enschede
35
Power Rankings
Strongest overall
1
Ramiz ZerroukiFC Twente Enschede
96
2
Filip ThorvaldsenFC Twente Enschede
83
3
Daouda WeidmannFC Twente Enschede
76
4
Mathias KjøløFC Twente Enschede
76
5
Arno VerschuerenFC Twente Enschede
74

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Lincoln Red Imps vs FC Twente Enschede based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.

The Bet Builder combines multiple selections from the Lincoln Red Imps vs FC Twente Enschede match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.

xG (expected goals) measures the quality of scoring chances. If Lincoln Red Imps has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).

Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for Lincoln Red Imps vs FC Twente Enschede without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.

A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives Lincoln Red Imps a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.

AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.

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