Falkirk’s forward intent should bring sustained pressure, while Kilmarnock have enough threat to punish openings. With both defenses notably fragile, the contest appears poised to loosen after the first breakthrough, making goals at both ends and an over-threshold finish the compelling script.
Match GoalsOver 2.5
Best Pick
BTTS
54%
Correct Score
Top
1-1
11.5%
7.00
Top
1-0
10.6%
9.50
2-1
9.7%
8.50
2-0
9%
10.00
0-1
6.8%
15.00
0-0
6.3%
15.00
1-2
6.2%
13.00
3-1
5.4%
13.00
152%
1.83TOP
X24%
3.60
224%
3.90
1X76%
X248%
1276%
Combined Bet Builder
3 legs
Falkirk’s 1.79 xG gives them the attacking edge over Kilmarnock’s 1.16, while both defenses are markedly fragile—38% and 35% weaker than average. That points to chances at both ends, making Over 2.5 and a Falkirk win the logical lean, with Ben Parkinson a plausible anytime scorer as the hosts press their advantage.
1Match WinnerFalkirk
2Match GoalsOver 2.5
3GoalscorersAnytime
Confirmed XI3-5-2
19
Bain
15
Neilson
5
Henderson
17
Tanser
22
Strain
8
Spencer
16
Barbrook
28
Krauhaus
42
Eames
23
Ross
24
Murrell
Impact Player Hot Head
Falkirk34 players
49.8/ 99Average
Top Rated
1Jacob MurrellFWD87
2J. McMillanDEF71
3Dylan TaitMID70
Kilmarnock39 players
47.5/ 99Average
Top Rated
1Jack ThomsonMID91
2Aaron TshibolaMID79
3Ieuan OwenFWD70
Player Rankings
Snipers
Top goal threats
1
Jacob MurrellFalkirk
84
2
Tyreece John-JulesKilmarnock
74
3
Ieuan OwenKilmarnock
73
4
Brian GrahamFalkirk
56
5
Joe HugillKilmarnock
54
Wall
Top defenders
1
Coll Donaldson Falkirk
82
2
Ethan Schilte-BrownKilmarnock
69
3
Lewis MayoKilmarnock
69
4
Robbie DeasKilmarnock
65
5
J. McMillanFalkirk
62
Control
Top playmakers
1
Dylan TaitFalkirk
99
2
Jack ThomsonKilmarnock
99
3
Aaron TshibolaKilmarnock
74
4
Aidan NesbittFalkirk
69
5
Brad SpencerFalkirk
69
Bad Boys
Most likely to get booked
1
Coll Donaldson Falkirk
1
Aggression 60
2
Dominic ThompsonKilmarnock
1
Aggression 39
3
Lewis MayoKilmarnock
1
Aggression 45
4
Tom LoweryKilmarnock
1
Aggression 29
5
Marcus DackersKilmarnock
1
Aggression 32
Power Rankings
Strongest overall
1
Jack ThomsonKilmarnock
91
2
Jacob MurrellFalkirk
87
3
Aaron TshibolaKilmarnock
79
4
J. McMillanFalkirk
71
5
Dylan TaitFalkirk
70
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Falkirk vs Kilmarnock 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 Falkirk vs Kilmarnock 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 Falkirk 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 Falkirk vs Kilmarnock 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 Falkirk 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.