Angby vs Helges Prediction

Angby
9-0
Finished
HT 4-0
Helges
04/10/2026
AngbyAngby
9-0
Finished
HelgesHelges

AI Best Pick

Statistical forecasts for entertainment purposes only - not betting or financial advice.

Data Quality
Partial
Match Importance
4.0 / 10
AI Best Pick
79%Trust
1X2
Home Win
1.16
SignalHIGHModel80%SurpriseMediumGap-7.3%
Angby Rest
6 days
Helges Rest
8 days

Angby vs Helges: result, form and history

Angby beat Helges 9-0 in the Division 2 - Norra Svealand on 4 Oct 2026. It was in line with recent form: Angby had won 3 of their previous five, compared with none for Helges.

Match Forecasts

Match Result
1
77%1.16
X
13%7.00
2
10%10.25
Double Chance
1X
90%1.04
X2
23%4.40
Both Teams to Score

Both teams to score forecasts not available for this match

Goals

Goal forecasts not available for this match

Corners

Corner forecasts not available for this match

Cards

Card forecasts not available for this match

Match Events

5'
21'
30'
45+3'
48'
66'
69'
81'
89'

Team Comparison

AngbyAngby
HelgesHelges
1624Elo Rating 1384
2.39Attack 0.91
0.85Defense 0.00
36%Hit Rate 0%

AI Insights

🏠Strong Home Advantage+240 Elo

Game State Tendencies

AngbyAngby
  • Scores more in 2nd half (1.3 vs 0.9 in first half)
  • Concedes more in 2nd half - can tire late
HelgesHelges
  • Tied at half-time in 60% of matches
  • Concedes more in 2nd half - can tire late

Recent Form

AngbyAngby
6W3D1L
27/09/2026
Falu BSAngby
23
W
19/09/2026
TäbyAngby
21
L
13/09/2026
AngbyFranke
51
W
06/09/2026
BollstanäsAngby
05
W
30/08/2026
AngbyKorsnäs
22
D
22/08/2026
SunnerstaAngby
24
W
15/08/2026
AngbyKungsängen
11
D
08/08/2026
AngbyGute
10
W
01/08/2026
LidingöAngby
23
W
24/06/2026
AngbyEnskede
00
D
HelgesHelges
1W2D7L
26/09/2026
HelgesGute
12
L
20/09/2026
Viggbyholms IKHelges
42
L
13/09/2026
LidingöHelges
21
L
05/09/2026
HelgesTäby
11
D
30/08/2026
KungsängenHelges
11
D
23/08/2026
HelgesFalu BS
12
L
16/08/2026
SkiljeboHelges
42
L
09/08/2026
HelgesBollstanäs
05
L
01/08/2026
KorsnäsHelges
03
W
25/06/2026
HelgesSunnersta
03
L

League Table

Division 2 - Norra Svealand 2026
#TeamMPWDLGGDPtsForm
1SkiljeboSkiljebo26185360:26+3459WLWWW
2EnskedeEnskede26174543:24+1955WWWWW
3SunnerstaSunnersta26166467:24+4354DWLWW
4AngbyAngby26156558:33+2551LLWWL
5Falu BSFalu BS26135841:33+844LWLLL
6TäbyTäby26126846:30+1642DLWLW
7FrankeFranke261141147:43+437WWWWL
8GuteGute26961140:40033DLLWL
9BollstanäsBollstanäs26871146:50-431LLWLL
10KungsängenKungsängen265111032:41-926DWWLW
11Viggbyholms IKViggbyholms IK26741527:50-2325WWLLW
12LidingöLidingö26651529:56-2723LWLLW
13KorsnäsKorsnäs26451729:65-3617WLLWL
14HelgesHelges26242022:72-5010LLLLL
#TeamMPGPts
1SkiljeboSkiljebo2660:2659
2EnskedeEnskede2643:2455
3SunnerstaSunnersta2667:2454
4AngbyAngby2658:3351
5Falu BSFalu BS2641:3344
6TäbyTäby2646:3042
7FrankeFranke2647:4337
8GuteGute2640:4033
9BollstanäsBollstanäs2646:5031
10KungsängenKungsängen2632:4126
11Viggbyholms IKViggbyholms IK2627:5025
12LidingöLidingö2629:5623
13KorsnäsKorsnäs2629:6517
14HelgesHelges2622:7210

About the Angby vs Helges forecast

Every forecast on this page comes from the same model inputs: team ratings, recent form, goals scored and conceded, and how these sides have fared against each other.

How to Read These Forecasts

Each percentage shows the model's calculated likelihood for that outcome. Above 65% indicates strong statistical confidence; 45-65% reflects a competitive, open match; below 45% suggests the outcome is statistically less likely. All figures are for informational and entertainment purposes only.

Angby and Helges in the Division 2 - Norra Svealand table

The table shows a wide gap: Angby are 4th in the Division 2 - Norra Svealand, while Helges sit 14th, 41 points behind. League goal record so far: Angby 58-33, Helges 22-72. The full standings are on the Division 2 - Norra Svealand Table 2026 page.

Key Factors for This Match

Angby and Helges have little recent head-to-head history for the model to draw on. Some underlying data for this fixture is limited, which the model accounts for with a lower confidence rating.

All forecasts are generated by statistical and machine learning models for informational and entertainment purposes only. They are not guaranteed and do not constitute financial or betting advice.