Where do Leverkusen currently stand?

7th with 4 points after matchday 3 (1W 1D 1L, goal diff +3).

Who is the Bundesliga top scorer?

Patrik Schick (Leverkusen) with 3 goals in the 28321 season.

Will Leverkusen be relegated?

Leverkusen are currently 3 points clear of the relegation places.

Leverkusen Intelligence Matchday 3: Standings, Splits

At a glance

Leverkusen sit 7th after matchday 3 with 4 points (1W 1D 1L, goal diff +3). Last 5 form: LWD (4/15 pts).

Bundesliga Table

Bundesliga table matchday 3
#	Club	P	W	D	L	GF	GA	GD	Pts
1	Freiburg	3	3	0	0	10	1	+9	9
2	BVB	3	3	0	0	8	2	+6	9
3	Augsburg	3	2	1	0	9	3	+6	7
4	Bayern	3	2	1	0	7	2	+5	7
5	Leipzig	3	2	0	1	9	3	+6	6
6	Elversberg	3	2	0	1	8	7	+1	6
7	Leverkusen	3	1	1	1	8	5	+3	4
8	Mainz	3	1	1	1	6	3	+3	4
9	Eintracht	3	1	1	1	7	8	-1	4
10	Werder	3	1	1	1	5	6	-1	4
11	Schalke 04	3	1	1	1	3	4	-1	4
12	Koeln	3	1	1	1	5	7	-2	4
13	Hoffenheim	3	1	0	2	6	7	-1	3
14	Stuttgart	3	1	0	2	6	8	-2	3
15	Paderborn	3	0	1	2	0	4	-4	1
16	Union	3	0	1	2	4	10	-6	1
17	Gladbach	3	0	0	3	3	12	-9	0
18	HSV	3	0	0	3	0	12	-12	0

Top Scorers

Bundesliga Top Scorers Season 28321

1

Patrik Schick

Leverkusen · 30

3 Goals
2

Younes Ebnoutalib

Eintracht · 23

3 Goals
3

Igor Matanovic

Freiburg · 23

3 Goals
4

Maurice Krattenmacher

Elversberg · 21

3 Goals
5

Yuito Suzuki

Freiburg · 24

3 Goals

#	Player	Club	Goals
6	Michael Gregoritsch	Augsburg	3
7	Phillip Tietz	Mainz	3
8	Antonio Nusa	Leipzig	2
9	Serhou Guirassy	BVB	2
10	Jonathan Burkardt	Eintracht	2

Form & Momentum

Leverkusen — Form & Home/Away

Last 5

LWD

Home

3 Pts

Record: 1-0-0 Goals: 4:0

Away

1 Pts

Record: 0-1-1 Goals: 4:5

Last result: Draw. Last 5 form: L-W-D.

The form of the last five matches is the most important leading indicator for short-term bets. A team on a three-match win streak is significantly underpriced when the odds movement hasn't yet caught up with the momentum. The Pinnacle Oracle weights this form at roughly 30 percent against table position (40 percent), home/away splits (20 percent) and opponent strength (10 percent).

Assists & Card Ranking

Bundesliga Top Assists

1

Matthias Ginter

Freiburg · 32

3 Assists
2

Sheraldo Becker

Mainz · 31

2 Assists
3

Adam Daghim

Hoffenheim · 20

2 Assists
4

Ismael Saibari

Bayern · 25

2 Assists
5

Serhou Guirassy

BVB · 30

2 Assists

#	Player	Club	Assists
6	Marco Grüll	Werder	2
7	Miguel Gutiérrez	Leverkusen	2
8	Bambasé Conté	Hoffenheim	2
9	Josip Juranovic	Union	2
10	Derry Scherhant	Freiburg	2

Bundesliga Card Ranking (Yellow + Red×3)

1

Tim Kleindienst

Gladbach · 31

1 1
2

Ron Schallenberg

Schalke 04 · 27

0 1
3

Samuele Inácio

BVB · 18

0 1
4

Kevin Diks

Gladbach · 29

2 0
5

Wouter Burger

Hoffenheim · 25

2 0

#	Player	Club	Y	Total
6	Phillipp Mwene	Mainz	2	2
7	Ozan Kabak	Hoffenheim	2	2
8	Raphael Onyedika	Eintracht	2	2
9	Ibrahim Maza	Leverkusen	2	2
10	Felix Uduokhai	Union	2	2

Split	Group A	Group B	Δ ppg	95% CI	p-value	Significance
Home games vs. away games	Home 1.91 ppg · n=34	Away 1.85 ppg · n=34	+0.06	[-0.53, 0.65]	0.89	⚪
Versus top-6 opponents vs. rest of the league	Vs top 6 1.30 ppg · n=20	Vs rest 2.13 ppg · n=48	-0.82	[-1.47, -0.16]	0.01	🟢
With vs. without Alejandro Grimaldo in the starting XI	With Alejandro Grimaldo 1.98 ppg · n=60	Without Alejandro Grimaldo 1.13 ppg · n=8	+0.86	[-0.03, 1.66]	0.06	🟡
With vs. without Edmond Tapsoba in the starting XI	With Edmond Tapsoba 1.86 ppg · n=58	Without Edmond Tapsoba 2.00 ppg · n=10	-0.14	[-0.96, 0.73]	0.74	🟡
With vs. without Robert Andrich in the starting XI	With Robert Andrich 1.90 ppg · n=48	Without Robert Andrich 1.85 ppg · n=20	+0.05	[-0.57, 0.68]	0.89	⚪
With vs. without Aleix García in the starting XI	With Aleix García 1.81 ppg · n=48	Without Aleix García 2.05 ppg · n=20	-0.24	[-0.84, 0.35]	0.44	⚪
With vs. without Patrik Schick in the starting XI	With Patrik Schick 1.81 ppg · n=42	Without Patrik Schick 2.00 ppg · n=26	-0.19	[-0.79, 0.41]	0.54	⚪
Heavy week (after UCL/intl. break) vs. normal week	Heavy week 0.00 ppg · n=0	Normal week 1.88 ppg · n=68	-1.88	—	—	⬜
After UCL midweek vs. without UCL before	After UCL 0.00 ppg · n=0	No UCL 1.88 ppg · n=68	-1.88	—	—	⬜
Full strength (0 absences) vs. 2+ key-player absences	0 absences 1.92 ppg · n=12	2+ absences 2.00 ppg · n=26	-0.08	[-0.97, 0.77]	0.88	🟡

Reading: 🟢 statistically significant · 🟡 indicative (sample or effect too small) · ⚪ no effect detectable · ⬜ untested

ppg = points per game (3 for a win, 1 for a draw, 0 for a loss). Δ ppg = difference in ppg between the two groups. 95% CI = bootstrap confidence interval (10,000 resamples). p-value < 0.05 = statistically significant at n ≥ 20.

Methodology: Single-Regime-Analyse (nur Kompany-Ära). xG fehlt im Plan und ist nicht enthalten. Bootstrap-CIs statt parametrischer Tests.
Not in dataset: xG, PPDA, Distance Covered

Confirmed

"Bayern struggles against top-6 opponents"

Gegen Top 6: 1.3 ppg · gegen Rest: 2.125 ppg (Δ -0.825).

Prediction relevance: Adjustment -27.5pp für Top-6-Gegner.

Untested

"Midweek UCL games cost points"

Indikativ: Nach CL 0 ppg, ohne CL 1.882 ppg.

Prediction relevance: Kein klares Adjustment.

Refuted

"Home games are different"

Heim: 1.912 ppg · Auswärts: 1.853 ppg (Δ 0.059).

Prediction relevance: Heimvorteil ist nicht überdurchschnittlich.

Data Analysis

Bundesliga table matchday 3: Freiburg (9 pts, +9). CL places: BVB, Augsburg, Bayern. Relegation zone: Union (1), Gladbach (0), HSV (0). Top scorer: Patrik Schick (3 goals, Leverkusen).

This analysis rotates with every matchday through eight data-driven templates: league leadership, relegation battle, Champions League race, home/away splits, form trends, attack/defence, factual summary and overall view. Every statement is grounded in SportsMonks and Pinnacle data — no speculation, no hallucination.

What the data doesn't say

Table, form and odds show the status quo. They say nothing about whether a coach is on the verge of being sacked, a key player is injured, or the board is internally under pressure. This is exactly where the Predictions page comes in: there season markets (Polymarket), transfer rumours and schedule strength feed into the assessment — factors that don't show up in any standard statistic.

The Bayer 04 Leverkusen File in turn provides the historical context: which crises has the club survived, which not. Anyone moving money on Bundesliga markets needs all three layers — hard stats, forward markets and institutional memory.

Frequently Asked

Where do Leverkusen currently stand?: 7th with 4 points after matchday 3 (1W 1D 1L, goal diff +3).
Who is the Bundesliga top scorer?: Patrik Schick (Leverkusen) with 3 goals in the 28321 season.
Will Leverkusen be relegated?: Leverkusen are currently 3 points clear of the relegation places.

The data shows the status quo. What does this mean for the season?

Predictions & Forecasts — title probability, transfers, schedule strength
The Bayer 04 Leverkusen File — history, scandals, triumphs

Prediction Intelligence
Bayer 04 Leverkusen

Bundesliga Table

Top Scorers

Pinnacle Oracle