KEINE GOONING — CS2 Stats
76561199087309419[U:1:1127043691]
Rating over time
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.00 avg rating
Player DNA
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 74% 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
T-side openings. Opening success drops from 36% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 638ms 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 4.0/10 (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 | 58 | 26–32 | 45% | 0.00 | |
| B | 32 | 17–15 | 53% | -0.00 | |
| — | 3 | 1–2 | 33% | -0.03 | |
| — | 2 | 0–2 | 0% | -0.03 | |
| — | 2 | 0–2 | 0% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.06 | |
| italy | — | 1 | 1–0 | 100% | -0.00 |
| office | — | 1 | 1–0 | 100% | 0.14 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (45% over 58). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 3 | 33% | 1.13 | 16.3 |
| Anubis | 3 | 33% | 1.28 | 17.7 |
| Inferno | 3 | 33% | 1.09 | 15.0 |
| Mirage | 2 | 100% | 1.20 | 15.5 |
| Ancient | 2 | 0% | 0.77 | 11.5 |
| Vertigo | 1 | 100% | 1.00 | 16.0 |
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 0.4436 — 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 18.0669% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
45% win rate across 58 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.08 | 22% | 16 Jun → | ||
| 15–15 | -0.05 | 24% | 16 Jun → | ||
| 3–9 | -0.04 | 11% | 16 Jun → | ||
| 6–13 | 0.02 | 22% | 16 Jun → | ||
| 7–13 | 0.02 | 18% | 10 Jun → | ||
| 13–7 | 0.02 | 13% | 10 Jun → | ||
| 7–13 | 0.01 | 10% | 10 Jun → | ||
| 10–13 | 0.01 | 21% | 10 Jun → | ||
| 11–13 | 0.01 | 7% | 10 Jun → | ||
| 13–5 | 0.01 | 14% | 10 Jun → | ||
| 4–13 | 0.04 | 12% | 9 Jun → | ||
| 5–9 | 0.05 | 12% | 9 Jun → | ||
| 9–3 | 0.20 | 6% | 9 Jun → | ||
| 0–9 | -0.31 | 13% | 9 Jun → | ||
| 9–7 | -0.00 | 43% | 9 Jun → | ||
| 9–4 | 0.00 | 24% | 9 Jun → | ||
| 11–13 | 0.03 | 24% | 9 Jun → | ||
| 9–13 | -0.03 | 19% | 9 Jun → | ||
| 13–9 | -0.02 | 20% | 9 Jun → | ||
| 13–8 | 0.03 | 8% | 9 Jun → | ||
| 13–7 | -0.02 | 20% | 9 Jun → | ||
| 6–13 | -0.07 | 18% | 9 Jun → | ||
| 13–9 | -0.03 | 7% | 4 Jun → | ||
| 8–13 | 0.01 | 23% | 4 Jun → | ||
| 5–13 | -0.03 | 29% | 3 Jun → | ||
| 9–13 | 0.03 | 24% | 3 Jun → | ||
| 2–13 | -0.04 | 29% | 3 Jun → | ||
| 6–13 | -0.06 | 17% | 3 Jun → | ||
| 3–9 | -0.07 | 4% | 3 Jun → | ||
| 8–8 | -0.14 | 9% | 3 Jun → | ||
| 6–9 | -0.04 | 20% | 3 Jun → | ||
| 9–2 | -0.04 | 13% | 3 Jun → | ||
| 7–13 | -0.04 | 17% | 3 Jun → | ||
| 0–9 | -0.27 | 50% | 3 Jun → | ||
| 3–9 | -0.06 | 27% | 3 Jun → | ||
| 1–9 | -0.11 | 23% | 3 Jun → | ||
| 13–7 | -0.05 | 11% | 3 Jun → | ||
| 13–8 | -0.05 | 17% | 3 Jun → | ||
| 13–5 | -0.05 | 18% | 3 Jun → | ||
| 12–12 | -0.03 | 28% | 3 Jun → | ||
| 13–8 | 0.05 | 41% | 3 Jun → | ||
| 3–13 | -0.06 | 24% | 2 Jun → | ||
| 13–7 | -0.00 | 13% | 2 Jun → | ||
| 8–4 | 0.05 | 17% | 2 Jun → | ||
| 13–10 | 0.01 | 18% | 2 Jun → | ||
| 13–9 | -0.00 | 12% | 2 Jun → | ||
| 13–2 | 0.09 | 35% | 2 Jun → | ||
| 12–5 | 0.03 | 35% | 2 Jun → | ||
| 9–13 | 0.06 | 32% | 2 Jun → | ||
| 10–13 | -0.05 | 20% | 2 Jun → | ||
| 3–13 | 0.00 | 25% | 2 Jun → | ||
| 13–5 | 0.13 | 31% | 2 Jun → | ||
| 9–5 | 0.07 | 20% | 2 Jun → | ||
| 9–4 | 0.16 | 27% | 2 Jun → | ||
| 8–8 | 0.08 | 25% | 2 Jun → | ||
| 9–7 | -0.10 | 29% | 2 Jun → | ||
| 3–9 | -0.14 | 23% | 2 Jun → | ||
| 7–9 | -0.07 | 16% | 1 Jun → | ||
| 7–9 | -0.08 | 13% | 1 Jun → | ||
| 9–4 | 0.08 | 26% | 31 May → | ||
| 7–9 | -0.07 | 19% | 31 May → | ||
| 9–7 | 0.01 | 35% | 31 May → | ||
| 9–0 | 0.12 | 14% | 31 May → | ||
| 6–9 | -0.03 | 26% | 31 May → | ||
| 9–4 | 0.02 | 21% | 31 May → | ||
| 13–9 | 0.04 | 12% | 30 May → | ||
| 11–13 | 0.04 | 28% | 22 Oct → | ||
| 6–13 | 0.07 | 29% | 18 Oct → | ||
| 13–7 | 0.07 | 25% | 18 Oct → | ||
| 9–5 | -0.00 | 17% | 18 Oct → | ||
| 8–8 | -0.00 | 24% | 18 Oct → | ||
| 6–9 | -0.12 | 9% | 18 Oct → | ||
| 4–9 | -0.03 | 18% | 18 Oct → | ||
| 13–10 | 0.03 | 20% | 12 Oct → | ||
| 4–13 | -0.06 | 15% | 12 Oct → | ||
| 5–13 | -0.08 | 12% | 12 Oct → | ||
| 0–9 | -0.27 | 0% | 12 Oct → | ||
| 3–9 | -0.12 | 24% | 12 Oct → | ||
| 9–2 | 0.21 | 17% | 12 Oct → | ||
| 9–3 | 0.12 | 41% | 12 Oct → | ||
| 9–5 | 0.15 | 21% | 11 Oct → | ||
| 2–9 | -0.17 | 50% | 11 Oct → | ||
| 9–3 | 0.04 | 29% | 11 Oct → | ||
| 9–3 | 0.11 | 18% | 11 Oct → | ||
| 9–2 | 0.22 | 29% | 11 Oct → | ||
| 9–4 | 0.07 | 25% | 11 Oct → | ||
| 8–8 | 0.01 | 43% | 10 Oct → | ||
| 8–8 | -0.01 | 24% | 10 Oct → | ||
| 6–9 | -0.06 | 30% | 10 Oct → | ||
| 9–3 | 0.13 | 35% | 10 Oct → | ||
| 6–9 | 0.12 | 28% | 10 Oct → | ||
| 9–3 | 0.08 | 82% | 10 Oct → | ||
| 4–9 | -0.10 | 25% | 10 Oct → | ||
| 9–3 | 0.02 | 33% | 10 Oct → | ||
| 9–4 | 0.11 | 12% | 10 Oct → | ||
| 9–3 | 0.21 | 17% | 10 Oct → | ||
| 4–9 | -0.06 | 14% | 10 Oct → | ||
| italy | 13–4 | -0.00 | 25% | 5 Oct → | |
| office | 13–3 | 0.14 | 31% | 5 Oct → | |
| 8–8 | -0.01 | 25% | 5 Oct → |
Match data via Leetify.