19 games with stat data · 23 played (4 notes only) · All competitions
Bundesliga
1st
Points
39
Goals conceded (BL)
0
Overall season averages — 19 games with stat data
Avg possession
55.9%
range: 37–81%
Avg xG for
1.69
range: 0.2–5.4
Avg shots
4.6
range: 1–14
Avg passes
137
range: 73–214
Avg pass acc
92.3%
range: 86–97%
Avg BRT (s)
13.4
ball recovery time
Avg interceptions
7.2
range: 4–16
Avg tackles
2.7
59% success rate
Competition comparison
Bundesliga · 13 games
Avg possession55.5%
Avg xG1.36
Avg shots4.0
Avg passes135
Avg pass accuracy92.5%
Avg BRT (s)14.5
Avg interceptions6.8
Avg tackles2.5
Champions League · 4 managed games
Avg possession58.0%
Avg xG2.88
Avg shots7.0
Avg passes139
Avg pass accuracy93.0%
Avg BRT (s)12.8
Avg interceptions8.3
Avg tackles3.3
DFB-Pokal · 2 games
Avg possession54.5%
Avg xG1.50
Avg shots4.0
Avg passes149
Avg pass accuracy90.0%
Avg BRT (s)16.0
Avg interceptions11.5
Avg tackles4.0
UCL generates significantly more output
UCL xG average (2.88) is 112% higher than Bundesliga (1.36) despite similar pass counts. UCL opponents press more, play more open, and create more space — the 3-5-2 is producing more meaningful chances in Europe. Positive sign for knockout progression.
Game-by-game summary — all competitions
#
Opponent
Comp
Result
Poss
BRT
Shots
xG
Passes
Pass%
Interc
Tackles
1
Frankfurt
BL
W 2–0
notes only — no stat data
2
Augsburg
BL
W 2–0
72%
9s
4
2.4
181
96%
5
1
3
Düsseldorf
BL
W 3–0
58%
11s
5
2.6
138
93%
5
6
4
Sporting CP
UCL
W 2–1
48%
16s
3
2.2
128
91%
5
5
5
Leverkusen
BL
W 3–0
37%
15s
4
1.8
96
88%
6
1
6
Hoffenheim
BL
W 2–0
56%
13s
3
0.5
127
91%
5
1
7
Fenerbahçe
UCL
W 3–0
52%
14s
6
2.5
134
94%
8
3
8
Union Berlin
BL
D 0–0
53%
19s
3
1.2
120
94%
4
4
9
Bayern München
BL
W 1–0
43%
22s
1
0.5
110
92%
4
2
10
Porto
UCL
W 1–0
notes only — no stat data
11
Heidenheim
BL
W 1–0
72%
8s
5
1.4
161
93%
4
2
12
M'Gladbach
Cup
W 2–1
49%
21s
3
1.4
133
93%
7
3
13
Stuttgart
BL
D 0–0
54%
19s
1
0.2
143
97%
4
0
14
Bodø/Glimt
UCL
D 0–0
60%
12s
5
1.4
136
93%
7
5
15
Mainz
BL
W 4–0
56%
12s
7
2.0
135
90%
11
3
16
Wolfsburg
BL
W 2–0
37%
14s
10
3.0
73
86%
10
2
17
Slavia Praha
UCL
W 4–0
72%
9s
14
5.4
157
94%
10
2
18
Schalke
BL
W 1–0
81%
6s
2
0.3
214
95%
11
1
19
St. Pauli
Cup
W pens
60%
10s
5
1.6
164
87%
16
5
20
RB Leipzig
BL
W 3–0
notes only — no stat data
21
Manchester City
UCL
L 1–3
accidental quick sim
22
Dortmund
BL
W 2–0
39%
15s
5
1.5
103
92%
10
4
23
Freiburg
BL
D 0–0
64%
10s
2
0.3
155
95%
4
1
avg
19 games with data
55.9%
13.4s
4.6
1.69
137
92.3%
7.2
2.7
#
Opponent
H/A
Result
Poss
BRT
Shots
xG
Passes
Pass%
Interc
Tackles
MD1
Frankfurt
A
W 2–0
notes only
MD2
Augsburg
H
W 2–0
72%
9s
4
2.4
181
96%
5
1
MD3
Düsseldorf
A
W 3–0
58%
11s
5
2.6
138
93%
5
6
MD4
Leverkusen
H
W 3–0
37%
15s
4
1.8
96
88%
6
1
MD5
Hoffenheim
A
W 2–0
56%
13s
3
0.5
127
91%
5
1
MD6
Union Berlin
H
D 0–0
53%
19s
3
1.2
120
94%
4
4
MD7
Bayern München
A
W 1–0
43%
22s
1
0.5
110
92%
4
2
MD8
Heidenheim
A
W 1–0
72%
8s
5
1.4
161
93%
4
2
MD9
Stuttgart
H
D 0–0
54%
19s
1
0.2
143
97%
4
0
MD10
Mainz
A
W 4–0
56%
12s
7
2.0
135
90%
11
3
MD11
Wolfsburg
H
W 2–0
37%
14s
10
3.0
73
86%
10
2
MD12
Schalke
A
W 1–0
81%
6s
2
0.3
214
95%
11
1
MD13
RB Leipzig
H
W 3–0
notes only
MD14
Dortmund
A
W 2–0
39%
15s
5
1.5
103
92%
10
4
MD15
Freiburg
H
D 0–0
64%
10s
2
0.3
155
95%
4
1
avg
13 games with data
55.5%
14.5s
4.0
1.36
135
92.5%
6.8
2.5
MD
Opponent
H/A
Result
Poss
BRT
Shots
xG
Passes
Pass%
Interc
Tackles
1
Sporting CP
H
W 2–1
48%
16s
3
2.2
128
91%
5
5
2
Fenerbahçe
A
W 3–0
52%
14s
6
2.5
134
94%
8
3
3
Porto
A
W 1–0
notes only
4
Bodø/Glimt
H
D 0–0
60%
12s
5
1.4
136
93%
7
5
5
Slavia Praha
A
W 4–0
72%
9s
14
5.4
157
94%
10
2
6
Manchester City
A
L 1–3
accidental quick sim
avg
4 managed games
58.0%
12.8s
7.0
2.88
139
93.0%
8.3
3.3
Round
Opponent
H/A
Result
Poss
BRT
Shots
xG
Passes
Pass%
Interc
Tackles
R2
M'Gladbach
H
W 2–1
49%
21s
3
1.4
133
93%
7
3
R3
St. Pauli
H
W pens (2–2 AET)
60%
10s
5
1.6
164
87%
16
5
avg
2 games
54.5%
16.0s
4.0
1.50
149
90.0%
11.5
4.0
Highest vs lowest — all 19 games
Metric
Average
Highest
Lowest
Possession %
55.9%
81%Schalke A
37%Wolfsburg H / Leverkusen H
Expected goals (xG)
1.69
5.4Slavia Praha A (UCL)
0.2Stuttgart H
Total shots
4.6
14Slavia Praha A (UCL)
1Bayern A / Stuttgart H
Total passes
137
214Schalke A
73Wolfsburg H
Pass accuracy
92.3%
97%Stuttgart H
86%Wolfsburg H
Ball recovery time
lower = more intense press
13.4s
6sSchalke A (best press)
22sBayern A (slowest)
Interceptions
7.2
16St. Pauli H (DFB-Pokal)
45 games
Tackles made
2.7
6Düsseldorf A
0Stuttgart H
Attacking profile — passing & shooting breakdown
xG efficiency: +19% vs expectation across 13 BL games with data
21 goals scored vs 17.7 xG — finishing above expected value in the Bundesliga. The 3 home draws produced 0 goals from 1.6 xG combined (Stuttgart 0.2, Union Berlin 1.2, Freiburg 0.2) — these drag down the average and represent the system's main unsolved problem.
Shot profile — 10 games with detailed data
Inside box shots~90% of all shots
On target rate~57% average
Finesse shots (of total)~18%
Header shots (of total)~8%
Best shooting gameSlavia Praha — 14 shots / 5.4 xG
Defensive profile — 8 games with full defending tab data
Interception-led defence — by design
2.7 tackles per game is intentionally low. The 3-5-2 press cuts passing lanes and intercepts before needing to tackle. 8.4 interceptions per game average with 7.6 Defensive Duels Won. The system defends by making possession worthless, not by chasing.
Three games recorded 0% — Stuttgart, Schalke, and Freiburg. All three were low-block opponents. The system disengages from tackles when the opponent poses no threat, which is fine — but the Stuttgart and Freiburg 0–0s suggest an additional problem: even without needing to defend, the attack wasn't breaking through either.
Low clearances (0.75 avg) reflects system health, not weakness
In 15 Bundesliga games, Ramaj kept a clean sheet every time. Low clearances mean the press prevented dangerous ball entries into the box — not that the back three was exposed. When the system works, clearances are a vanishing stat.
Pressing metrics — ball recovery time analysis
What BRT tells us
Ball Recovery Time measures seconds between losing possession and winning it back. Under 10s = elite high press. 10–15s = effective mid press. 15s+ = passive or deep-sitting opponent. The range (6–22s) shows the system adapts to the game rather than applying fixed press intensity regardless of context.
BRT by result
Games with BRT ≤10s (4 games)W 3, D 1
Games with BRT 11–15s (8 games)W 7, D 1
Games with BRT 16–22s (7 games)W 4, D 2, L 0
Slowest BRT — Bayern (22s)Still won 1–0
Fastest BRT — Schalke (6s)Total domination
BRT by competition
Bundesliga avg14.5s
Champions League avg12.8s
DFB-Pokal avg16.0s
Fastest BL recovery6s — Schalke A
Slowest BL recovery22s — Bayern A
Fastest UCL9s — Slavia Praha
Slowest UCL16s — Sporting CP
UCL press is sharper than Bundesliga
12.8s UCL avg vs 14.5s BL — tighter recovery in Europe. UCL opponents force more urgent reactions; Stanković performs at his ceiling when the press has purpose. The Slavia Praha 0–4 (9s BRT, 5.4 xG, 14 shots) is the statistical peak of the entire season so far.
Data notes
4 games have no stat data: Frankfurt away (BL MD1), Porto away (UCL MD3), Leipzig home (BL MD13), Manchester City away (UCL MD6 — accidental quick sim). All averages are computed from the 19 games where screenshots were captured. Frankfurt, Porto and Leipzig are managed wins included in standings but excluded from average calculations.
Generated by Claude · 1. FC Nürnberg Career Mode · Season 4 · December 2028