Carlos Schumacher — CS2 Stats
SE76561198360600118[U:1:400334390]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 52.3% | 52.8% |
| Shot accuracy | 9.4% | 13.7% |
| Kill/death ratio | 1.03 | 1.08 |
| Match win rate | 50.3% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like NiKo 87% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower positioning profile; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Reaction time. 565ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| B | 43 | 23–20 | 53% | 0.00 | |
| B | 21 | 11–10 | 52% | 0.01 | |
| B | 10 | 5–5 | 50% | 0.00 | |
| S | 9 | 6–3 | 67% | 0.02 | |
| B | 6 | 3–3 | 50% | -0.02 | |
| A | 5 | 3–2 | 60% | -0.03 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| — | 3 | 1–2 | 33% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (50% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 314 | 56% | 1.13 | 16.1 |
| Ancient | 210 | 48% | 1.08 | 16.1 |
| Anubis | 154 | 47% | 1.01 | 15.7 |
| Vertigo | 131 | 63% | 1.25 | 17.1 |
| Nuke | 65 | 51% | 1.03 | 15.7 |
| Dust2 | 65 | 35% | 1.01 | 15.4 |
| Inferno | 39 | 41% | 1.20 | 13.9 |
| Overpass | 18 | 50% | 1.05 | 15.4 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4741 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 32.0491% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.05 | 5% | 27 Aug → | ||
| 7–13 | -0.06 | 17% | 24 Aug → | ||
| 7–13 | 0.00 | 24% | 22 Aug → | ||
| 13–10 | 0.03 | 15% | 22 Aug → | ||
| 9–13 | 0.04 | 20% | 18 Aug → | ||
| 8–13 | 0.01 | 16% | 16 Aug → | ||
| 10–13 | -0.06 | 15% | 15 Aug → | ||
| 11–0 | 0.00 | 21% | 15 Aug → | ||
| 6–13 | -0.07 | 8% | 8 Aug → | ||
| 3–13 | -0.03 | 23% | 8 Aug → | ||
| 25–23 | -0.03 | 18% | 6 Aug → | ||
| 5–13 | 0.03 | 27% | 1 Aug → | ||
| 16–13 | -0.00 | 17% | 1 Aug → | ||
| 11–13 | 0.01 | 29% | 1 Aug → | ||
| 13–5 | -0.03 | 18% | 1 Aug → | ||
| 13–9 | 0.00 | 13% | 30 Jul → | ||
| 13–11 | -0.02 | 16% | 29 Jul → | ||
| 9–13 | 0.01 | 31% | 28 Jul → | ||
| 13–9 | -0.02 | 26% | 26 Jul → | ||
| 13–8 | -0.04 | 27% | 26 Jul → | ||
| 13–6 | 0.06 | 25% | 23 Jul → | ||
| 5–13 | -0.02 | 22% | 23 Jul → | ||
| 11–13 | -0.03 | 26% | 23 Jul → | ||
| 5–13 | -0.01 | 26% | 23 Jul → | ||
| 13–8 | -0.08 | 13% | 21 Jul → | ||
| 13–8 | 0.02 | 18% | 21 Jul → | ||
| 4–13 | -0.08 | 17% | 21 Jul → | ||
| 13–6 | 0.01 | 23% | 21 Jul → | ||
| 13–1 | 0.05 | 21% | 21 Jul → | ||
| 13–7 | 0.00 | 27% | 20 Jul → | ||
| 6–0 | -0.14 | 10% | 20 Jul → | ||
| 13–10 | 0.03 | 17% | 12 Jul → | ||
| 13–3 | 0.02 | 22% | 8 Jul → | ||
| 13–5 | 0.07 | 40% | 8 Jul → | ||
| 11–13 | -0.04 | 20% | 7 Jul → | ||
| 9–13 | 0.07 | 38% | 7 Jul → | ||
| 3–13 | -0.07 | 13% | 16 Jun → | ||
| 13–11 | 0.06 | 53% | 14 Jun → | ||
| 13–3 | 0.04 | 20% | 13 Jun → | ||
| 11–13 | 0.00 | 29% | 13 Jun → | ||
| 14–16 | 0.04 | 22% | 13 Jun → | ||
| 17–19 | -0.03 | 31% | 7 Jun → | ||
| 13–5 | 0.02 | 37% | 6 Jun → | ||
| 6–13 | -0.02 | 21% | 14 May → | ||
| 16–14 | 0.03 | 34% | 3 May → | ||
| 13–8 | 0.01 | 24% | 2 May → | ||
| 13–16 | 0.01 | 38% | 2 May → | ||
| 8–13 | -0.06 | 14% | 1 May → | ||
| 13–7 | 0.07 | 31% | 1 May → | ||
| 13–11 | 0.00 | 40% | 30 Apr → | ||
| 13–10 | -0.02 | 18% | 28 Apr → | ||
| 1–13 | -0.02 | 24% | 27 Apr → | ||
| 13–9 | 0.01 | 25% | 26 Apr → | ||
| 13–5 | 0.05 | 29% | 26 Apr → | ||
| 13–11 | 0.00 | 13% | 25 Apr → | ||
| 13–9 | 0.01 | 22% | 25 Apr → | ||
| 13–10 | 0.03 | 26% | 24 Apr → | ||
| 4–13 | -0.04 | 23% | 23 Apr → | ||
| 8–13 | 0.01 | 18% | 23 Apr → | ||
| 13–10 | 0.10 | 23% | 22 Apr → | ||
| 16–13 | 0.07 | 29% | 21 Apr → | ||
| 13–9 | 0.06 | 15% | 21 Apr → | ||
| 13–7 | 0.03 | 29% | 20 Apr → | ||
| 13–9 | 0.01 | 18% | 19 Apr → | ||
| 13–4 | 0.05 | 35% | 19 Apr → | ||
| 13–11 | -0.01 | 19% | 18 Apr → | ||
| 11–13 | 0.03 | 28% | 18 Apr → | ||
| 16–14 | -0.02 | 31% | 18 Apr → | ||
| 10–13 | 0.00 | 46% | 18 Apr → | ||
| 8–13 | -0.04 | 23% | 18 Apr → | ||
| 6–13 | -0.03 | 19% | 17 Apr → | ||
| 7–13 | 0.13 | 33% | 16 Apr → | ||
| 8–13 | -0.02 | 38% | 15 Apr → | ||
| 4–13 | -0.04 | 18% | 14 Apr → | ||
| 13–10 | 0.02 | 30% | 13 Apr → | ||
| 13–11 | -0.01 | 16% | 12 Apr → | ||
| 13–4 | 0.07 | 31% | 12 Apr → | ||
| 9–13 | -0.09 | 11% | 12 Apr → | ||
| 9–13 | 0.03 | 24% | 12 Apr → | ||
| 13–10 | 0.00 | 22% | 11 Apr → | ||
| 13–9 | 0.08 | 20% | 11 Apr → | ||
| 14–16 | 0.02 | 23% | 11 Apr → | ||
| 10–13 | 0.01 | 27% | 11 Apr → | ||
| 10–13 | -0.01 | 33% | 11 Apr → | ||
| 7–13 | 0.12 | 23% | 11 Apr → | ||
| 16–14 | 0.01 | 25% | 10 Apr → | ||
| 13–10 | 0.03 | 23% | 9 Apr → | ||
| 8–13 | -0.01 | 19% | 9 Apr → | ||
| 10–13 | -0.00 | 19% | 8 Apr → | ||
| 13–11 | -0.03 | 23% | 8 Apr → | ||
| 7–13 | -0.04 | 15% | 7 Apr → | ||
| 13–16 | -0.03 | 22% | 7 Apr → | ||
| 10–13 | 0.08 | 35% | 5 Apr → | ||
| 13–3 | 0.03 | 24% | 5 Apr → | ||
| 16–12 | 0.07 | 33% | 5 Apr → | ||
| 13–11 | -0.00 | 25% | 5 Apr → | ||
| 2–10 | -0.11 | 25% | 5 Apr → | ||
| 16–14 | 0.03 | 38% | 4 Apr → | ||
| 16–13 | 0.03 | 25% | 4 Apr → | ||
| 8–13 | -0.01 | 27% | 4 Apr → |
Match data via Leetify.