Anyang JungKwanJang vs KCC Egis Prediction & Odds — Oct 18

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KBL Sunday, October 18, 2026Sun, Oct 18 Start03:30ET

Anyang JungKwanJangHome · 6-4 · 3rd · 1.32

8118182322

KCC EgisAway · 3-8 · 10th · 2.47

7420251415

By quarter 1st 2nd 3rd 4th

Anyang JungKwanJang 18 18 23 22

KCC Egis 20 25 14 15

FT Anyang Gymnasium · South KoreaAnyang Gymnasium

Best tip of the game

Moneyline Won

1 1.32 54%

Anyang JungKwanJang to win edge −16.3%

Best tip of the game Moneyline · Won 1 1.32 Anyang JungKwanJang to win Confidence54% model 53.7% · market 70.0% edge −16.3%

All predictions

3 picks graded · Average confidence 72%

Picks for this game

Market PickOdds Model Market Edge Confidence Result

Moneyline 1 1.32 53.7% 70.0% −16.3% 54% Won

Total points U180.5 1.37 82.0% 69.8% +12.2% 85% Won

Point spread EGI +11.5 1.37 77.7% 67.8% +9.9% 78% Won

Model is the model’s estimated win chance for the pick, Market the win chance the odds gave it when the pick was published, and Edge the difference between the two.

Predicted final score

ActualPredicted

Anyang JungKwanJang8183

KCC Egis7481

Total 164 actual 155

Winning margin ANY by 2 actual ANY by 7

Chance to win ANY 54% ANY won

Predicted final score

ActualPredicted

Anyang JungKwanJang8183

KCC Egis7481

Total 164 Margin ANY by 2 Win ANY 54% Actual 155 · ANY won

Predicted team stats

Prediction From 5+ games with full stats per team · no bookmaker odds

Anyang JungKwanJang large = predicted · small = actual, above / below the prediction KCC Egis

Large = predicted · small = actual, above / below the prediction

Rebounds

Other

Shooting

Anyang JungKwanJang vs KCC Egis

Anyang JungKwanJang KCC Egis

Last 11 and 12 games with full stats · all competitions

Season record above, per-game averages below.

Last five games

Anyang JungKwanJang 4-1

Oct 17: Anyang JungKwanJang 89, Suwon KT 69. Won. Odds: Anyang JungKwanJang 1.45, Suwon KT 2.52.
Oct 13: Anyang JungKwanJang 85, Goyang Sono 81. Won. Odds: Anyang JungKwanJang 1.65, Goyang Sono 2.04.
Oct 11: Anyang JungKwanJang 88, LG Sakers 65. Won. Odds: Anyang JungKwanJang 2.51, LG Sakers 1.40.
Oct 9: Seoul Thunders 66, Anyang JungKwanJang 58. Lost. Odds: Seoul Thunders 2.76, Anyang JungKwanJang 1.38.
Oct 5: KoGas 80, Anyang JungKwanJang 86. Won. Odds: KoGas 2.42, Anyang JungKwanJang 1.43.

KCC Egis 3-2

Oct 14: Nagasaki 83, KCC Egis 98. Won. Odds: Nagasaki 1.37, KCC Egis 2.80.
Oct 11: KCC Egis 81, Suwon KT 87. Lost. Odds: KCC Egis 2.00, Suwon KT 1.68.
Oct 10: KCC Egis 79, Wonju DB 85. Lost. Odds: KCC Egis 2.22, Wonju DB 1.59.
Oct 7: KCC Egis 103, KoGas 98. Won. Odds: KCC Egis 1.49, KoGas 2.29.
Oct 5: Mobis Phoebus 87, KCC Egis 97. Won. Odds: Mobis Phoebus 1.38, KCC Egis 2.57.

Results before this game, all competitions: the home side on top, the team in bold, the moneyline odds each side had; the winner’s are highlighted.

How the odds moved

Market	Open	Now
ANY moneyline	1.33	moved down 1.32
EGI moneyline	3.10	moved down 2.47
Total points	170.5	moved down 169.5
ANY spread	−6.5	moved up −5.5

Opening and current odds from the bookmakers we track; the spread is shown from the home team’s side. The arrow shows which way the odds moved.

KBL standings

Regular Season

#	Team	GP	W	L	Pct	PF	PA	+/−
1	Seoul Thunders	10	9	1	.900	852	795	+57
2	Seoul Knights	6	5	1	.833	527	490	+37
3	Anyang JungKwanJang	10	6	4	.600	834	791	+43
4	Wonju DB	11	6	5	.545	1022	1004	+18
5	KoGas	10	5	5	.500	834	827	+7
6	Suwon KT	11	5	6	.455	935	958	−23
7	LG Sakers	10	4	6	.400	877	903	−26
8	Goyang Sono	11	4	7	.364	978	989	−11
9	Mobis Phoebus	10	3	7	.300	841	892	−51
10	KCC Egis	11	3	8	.273	950	1001	−51

Playoffs: Semi-finals
Playoffs: Quarter-finals

Pct percentage of games won — the table is sorted by it. W / L wins and losses, GP games played. PF / PA points scored and allowed this season. +/− points scored minus points allowed.

Anyang JungKwanJang host KCC Egis in the KBL on Sunday, October 18, 2026. Who wins, by how many points, and how many points in total — our moneyline, spread and over/under picks come from one model, and every pick is marked won or lost for everyone to see. The model uses predicted pace and scoring, recent form, the standings and the bookmakers’ current odds.