Gimpin Fishin — CS2 Stats
76561198986097141[U:1:1025831413]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 ropz 83% playstyle similarity
Most alike: opening-duel success, 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 708ms 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 4.9/10 (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 |
|---|---|---|---|---|---|
| D | 53 | 18–35 | 34% | -0.00 | |
| C | 35 | 14–21 | 40% | 0.02 | |
| — | 2 | 0–2 | 0% | -0.04 | |
| — | 2 | 1–1 | 50% | -0.02 | |
| — | 2 | 0–2 | 0% | 0.06 | |
| — | 1 | 1–0 | 100% | 0.12 | |
| fachwerk | — | 1 | 0–1 | 0% | -0.06 |
| boulder | — | 1 | 1–0 | 100% | 0.11 |
| shelter | — | 1 | 0–1 | 0% | 0.01 |
| — | 1 | 0–1 | 0% | -0.09 | |
| alpine | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (34% over 53). Start with the 6 essential Dust 2 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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 1 | 100% | 0.94 | 17.0 |
| Mirage | 1 | 0% | 0.43 | 6.0 |
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.
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 708.4473ms — above the 700ms mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.6945 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
34% win rate across 53 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.12 | 14% | 19 Aug → | ||
| 10–13 | 0.03 | 29% | 15 Aug → | ||
| 3–13 | -0.12 | 15% | 15 Aug → | ||
| 2–11 | -0.08 | 0% | 15 Aug → | ||
| 5–13 | -0.00 | 31% | 13 Aug → | ||
| 13–3 | 0.09 | 22% | 17 Jul → | ||
| 13–9 | -0.02 | 26% | 17 Jul → | ||
| 13–6 | -0.00 | 33% | 17 Jul → | ||
| 10–13 | -0.02 | 25% | 11 Jul → | ||
| 12–12 | -0.00 | 25% | 10 Jul → | ||
| fachwerk | 3–13 | -0.06 | 21% | 10 Jul → | |
| 9–13 | -0.03 | 26% | 9 Jul → | ||
| 8–13 | -0.04 | 23% | 9 Jul → | ||
| boulder | 13–5 | 0.11 | 29% | 9 Jul → | |
| shelter | 11–13 | 0.01 | 22% | 9 Jul → | |
| 13–11 | -0.04 | 27% | 9 Jul → | ||
| 13–10 | 0.11 | 16% | 9 Jul → | ||
| 7–13 | 0.06 | 23% | 8 Jul → | ||
| 12–12 | 0.01 | 17% | 29 Jun → | ||
| 7–13 | 0.01 | 16% | 28 Jun → | ||
| 13–1 | 0.02 | 11% | 28 Jun → | ||
| 2–13 | -0.01 | 20% | 28 Jun → | ||
| 4–13 | 0.08 | 13% | 28 Jun → | ||
| 3–13 | -0.01 | 13% | 28 Jun → | ||
| 13–6 | 0.02 | 24% | 28 Jun → | ||
| 9–13 | -0.02 | 21% | 28 Jun → | ||
| 11–13 | 0.04 | 24% | 27 Jun → | ||
| 0–8 | 0.08 | 29% | 27 Jun → | ||
| 13–11 | 0.04 | 20% | 27 Jun → | ||
| 0–13 | -0.01 | 21% | 21 Jun → | ||
| 7–13 | 0.01 | 26% | 21 Jun → | ||
| 5–13 | -0.03 | 10% | 21 Jun → | ||
| 8–13 | -0.07 | 29% | 20 Jun → | ||
| 13–5 | 0.02 | 16% | 20 Jun → | ||
| 13–3 | 0.20 | 15% | 18 Jun → | ||
| 9–13 | 0.03 | 10% | 18 Jun → | ||
| 4–13 | 0.03 | 21% | 16 Jun → | ||
| 11–13 | 0.07 | 33% | 16 Jun → | ||
| 13–2 | 0.03 | 19% | 16 Jun → | ||
| 13–8 | -0.00 | 14% | 14 Jun → | ||
| 4–13 | -0.03 | 9% | 13 Jun → | ||
| 13–6 | -0.03 | 8% | 13 Jun → | ||
| 13–8 | -0.04 | 20% | 13 Jun → | ||
| 11–13 | -0.01 | 18% | 13 Jun → | ||
| 5–13 | -0.09 | 8% | 6 Jun → | ||
| 0–9 | -0.06 | 11% | 6 Jun → | ||
| 10–13 | 0.01 | 26% | 6 Jun → | ||
| 13–11 | 0.07 | 20% | 31 May → | ||
| 13–5 | 0.11 | 16% | 31 May → | ||
| 6–13 | 0.05 | 16% | 30 May → | ||
| 13–6 | 0.05 | 13% | 30 May → | ||
| 13–4 | 0.08 | 20% | 30 May → | ||
| 13–9 | -0.08 | 21% | 30 May → | ||
| 2–9 | 0.01 | 6% | 30 May → | ||
| 3–13 | 0.04 | 20% | 25 May → | ||
| 8–13 | 0.05 | 25% | 24 May → | ||
| 9–13 | 0.02 | 24% | 24 May → | ||
| 9–13 | 0.00 | 25% | 24 May → | ||
| 12–12 | 0.16 | 19% | 24 May → | ||
| 13–7 | 0.01 | 29% | 24 May → | ||
| 13–4 | 0.01 | 20% | 24 May → | ||
| 12–12 | 0.05 | 25% | 24 May → | ||
| 13–5 | 0.03 | 25% | 24 May → | ||
| 12–12 | 0.05 | 20% | 24 May → | ||
| 13–6 | 0.01 | 11% | 3 May → | ||
| 7–13 | -0.04 | 18% | 2 May → | ||
| 13–6 | -0.00 | 27% | 25 Apr → | ||
| 13–8 | 0.04 | 29% | 18 Apr → | ||
| 13–6 | -0.04 | 30% | 18 Apr → | ||
| 4–13 | -0.05 | 20% | 18 Apr → | ||
| 13–3 | -0.00 | 11% | 18 Apr → | ||
| 2–8 | -0.10 | 29% | 12 Apr → | ||
| 7–13 | -0.06 | 28% | 12 Apr → | ||
| 8–13 | -0.03 | 20% | 12 Apr → | ||
| 13–6 | 0.04 | 26% | 12 Apr → | ||
| 13–9 | -0.04 | 23% | 12 Apr → | ||
| 2–13 | 0.02 | 10% | 11 Apr → | ||
| 2–13 | -0.03 | 20% | 11 Apr → | ||
| 4–13 | 0.03 | 26% | 11 Apr → | ||
| 9–13 | 0.02 | 19% | 11 Apr → | ||
| 13–6 | -0.00 | 17% | 31 Mar → | ||
| 10–13 | 0.02 | 25% | 30 Mar → | ||
| 13–6 | 0.11 | 19% | 30 Mar → | ||
| 9–11 | 0.03 | 18% | 30 Mar → | ||
| 2–13 | -0.13 | 4% | 22 Mar → | ||
| 13–8 | -0.02 | 15% | 22 Mar → | ||
| 4–13 | 0.03 | 32% | 22 Mar → | ||
| 3–13 | -0.07 | 25% | 22 Mar → | ||
| 12–12 | -0.05 | 14% | 7 Feb → | ||
| 10–13 | 0.01 | 39% | 7 Feb → | ||
| alpine | 6–13 | -0.02 | 12% | 31 Jan → | |
| 4–13 | 0.01 | 29% | 31 Jan → | ||
| 2–8 | -0.01 | 19% | 31 Jan → | ||
| 13–8 | -0.02 | 13% | 31 Jan → | ||
| 10–13 | -0.05 | 16% | 7 Jan → | ||
| 4–13 | -0.02 | 30% | 7 Jan → | ||
| 7–13 | -0.08 | 19% | 1 Jan → | ||
| 10–13 | -0.04 | 16% | 1 Jan → | ||
| 5–13 | -0.07 | 15% | 1 Jan → | ||
| 11–13 | 0.07 | 13% | 1 Jan → |
Match data via Leetify.
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