the grungler — CS2 Stats
76561198049211996[U:1:88946268]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.03 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 78% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; 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. 561ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.6/10 (Learning), 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 |
|---|---|---|---|---|---|
| office | C | 23 | 9–14 | 39% | -0.01 |
| C | 16 | 7–9 | 44% | -0.00 | |
| D | 15 | 2–13 | 13% | -0.02 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| A | 7 | 4–3 | 57% | 0.01 | |
| golden | D | 5 | 1–4 | 20% | -0.04 |
| — | 4 | 3–1 | 75% | -0.00 | |
| alpine | — | 4 | 2–2 | 50% | -0.03 |
| — | 3 | 3–0 | 100% | 0.00 | |
| — | 3 | 1–2 | 33% | -0.07 | |
| agency | — | 3 | 1–2 | 33% | -0.02 |
| fachwerk | — | 2 | 2–0 | 100% | 0.01 |
| — | 2 | 1–1 | 50% | 0.04 | |
| palacio | — | 2 | 2–0 | 100% | 0.01 |
| boulder | — | 1 | 0–1 | 0% | -0.08 |
| shelter | — | 1 | 0–1 | 0% | 0.03 |
| stronghold | — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Mirage 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 resultsLLWLW
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 0.4621 — 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 37.3702% — 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.
13% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.02 | 18% | 27 Aug → | ||
| office | 9–13 | -0.03 | 8% | 23 Aug → | |
| 13–9 | 0.01 | 13% | 22 Aug → | ||
| 1–13 | -0.13 | 9% | 20 Aug → | ||
| 8–13 | -0.01 | 21% | 20 Aug → | ||
| office | 10–13 | 0.03 | 35% | 19 Aug → | |
| 8–13 | -0.04 | 27% | 19 Aug → | ||
| office | 13–4 | 0.00 | 14% | 18 Aug → | |
| office | 13–5 | -0.01 | 39% | 13 Aug → | |
| 5–13 | 0.03 | 19% | 13 Aug → | ||
| 9–13 | 0.06 | 13% | 10 Aug → | ||
| 8–13 | 0.05 | 15% | 6 Aug → | ||
| office | 13–4 | 0.04 | 17% | 6 Aug → | |
| fachwerk | 13–8 | -0.03 | 15% | 4 Aug → | |
| boulder | 11–13 | -0.08 | 7% | 4 Aug → | |
| office | 13–1 | 0.03 | 4% | 1 Aug → | |
| 13–10 | 0.02 | 9% | 30 Jul → | ||
| office | 11–13 | -0.04 | 17% | 28 Jul → | |
| 6–13 | 0.02 | 13% | 28 Jul → | ||
| fachwerk | 13–7 | 0.04 | 28% | 24 Jul → | |
| 5–13 | -0.05 | 16% | 20 Jul → | ||
| shelter | 6–13 | 0.03 | 16% | 9 Jul → | |
| office | 9–13 | -0.06 | 0% | 8 Jul → | |
| 1–13 | -0.10 | 23% | 6 Jul → | ||
| 5–13 | -0.04 | 10% | 6 Jul → | ||
| office | 13–4 | 0.05 | 34% | 4 Jul → | |
| 9–13 | -0.05 | 12% | 4 Jul → | ||
| 0–13 | -0.05 | 28% | 4 Jul → | ||
| 13–6 | 0.06 | 19% | 2 Jul → | ||
| 7–5 | -0.01 | 13% | 2 Jul → | ||
| 8–13 | -0.09 | 20% | 1 Jul → | ||
| 13–11 | 0.01 | 15% | 30 Jun → | ||
| 13–5 | 0.03 | 8% | 30 Jun → | ||
| 8–13 | 0.06 | 16% | 26 Jun → | ||
| 13–4 | 0.04 | 16% | 25 Jun → | ||
| 13–8 | 0.00 | 33% | 25 Jun → | ||
| 10–13 | 0.01 | 20% | 24 Jun → | ||
| 7–13 | -0.01 | 13% | 20 Jun → | ||
| 12–12 | -0.01 | 16% | 19 Jun → | ||
| 13–5 | 0.05 | 14% | 19 Jun → | ||
| office | 2–13 | -0.07 | 21% | 18 Jun → | |
| 8–13 | -0.02 | 24% | 18 Jun → | ||
| 13–10 | -0.03 | 12% | 8 Jun → | ||
| 12–12 | 0.02 | 20% | 2 Jun → | ||
| 13–11 | 0.07 | 19% | 31 May → | ||
| office | 12–12 | 0.11 | 18% | 23 May → | |
| 13–3 | 0.13 | 21% | 9 May → | ||
| 11–13 | -0.02 | 13% | 8 May → | ||
| 13–9 | 0.03 | 18% | 7 May → | ||
| 6–13 | -0.03 | 19% | 3 May → | ||
| 5–13 | -0.05 | 23% | 3 May → | ||
| 13–11 | -0.06 | 23% | 3 May → | ||
| 10–13 | -0.07 | 15% | 2 May → | ||
| 11–13 | -0.05 | 15% | 17 Apr → | ||
| 4–13 | -0.10 | 19% | 3 Apr → | ||
| 2–13 | -0.02 | 15% | 28 Mar → | ||
| 13–8 | 0.05 | 13% | 28 Mar → | ||
| 13–11 | -0.03 | 20% | 16 Mar → | ||
| alpine | 6–4 | -0.09 | 7% | 10 Mar → | |
| 2–13 | -0.06 | 24% | 10 Mar → | ||
| office | 6–13 | -0.10 | 14% | 7 Mar → | |
| 13–7 | -0.03 | 22% | 7 Mar → | ||
| 7–13 | -0.00 | 20% | 24 Feb → | ||
| 11–13 | -0.00 | 20% | 19 Feb → | ||
| stronghold | 13–10 | -0.04 | 21% | 16 Feb → | |
| alpine | 7–2 | 0.01 | 14% | 16 Feb → | |
| alpine | 2–13 | 0.01 | 33% | 13 Feb → | |
| 13–8 | -0.05 | 18% | 11 Feb → | ||
| office | 6–13 | -0.04 | 27% | 7 Feb → | |
| 13–10 | 0.08 | 18% | 7 Feb → | ||
| alpine | 5–13 | -0.05 | 26% | 3 Feb → | |
| office | 10–13 | -0.04 | 15% | 21 Jan → | |
| office | 11–13 | -0.02 | 32% | 18 Jan → | |
| 13–10 | 0.03 | 12% | 11 Jan → | ||
| golden | 10–13 | -0.00 | 21% | 9 Jan → | |
| office | 12–12 | -0.03 | 19% | 3 Jan → | |
| office | 12–12 | -0.02 | 21% | 3 Jan → | |
| 4–13 | -0.06 | 14% | 3 Jan → | ||
| palacio | 13–3 | -0.03 | 16% | 31 Dec → | |
| 13–9 | -0.07 | 22% | 31 Dec → | ||
| office | 1–13 | -0.12 | 0% | 21 Dec → | |
| office | 13–10 | 0.00 | 17% | 20 Dec → | |
| office | 9–1 | 0.05 | 17% | 20 Dec → | |
| 13–3 | 0.08 | 25% | 19 Dec → | ||
| agency | 13–6 | 0.01 | 17% | 19 Dec → | |
| office | 13–2 | -0.01 | 31% | 15 Dec → | |
| agency | 11–13 | -0.03 | 14% | 13 Dec → | |
| golden | 11–13 | 0.01 | 12% | 6 Dec → | |
| 4–13 | -0.01 | 25% | 26 Nov → | ||
| office | 9–13 | -0.04 | 17% | 24 Nov → | |
| office | 13–8 | -0.02 | 50% | 22 Nov → | |
| golden | 5–13 | -0.05 | 33% | 22 Nov → | |
| 9–5 | 0.11 | 13% | 22 Nov → | ||
| 13–8 | -0.07 | 29% | 21 Nov → | ||
| 7–13 | -0.11 | 10% | 16 Nov → | ||
| 10–13 | -0.05 | 12% | 14 Nov → | ||
| golden | 13–11 | -0.06 | 11% | 14 Nov → | |
| palacio | 13–10 | 0.06 | 12% | 13 Nov → | |
| agency | 11–13 | -0.04 | 18% | 11 Nov → | |
| golden | 11–13 | -0.08 | 17% | 11 Nov → |
Match data via Leetify.
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