fishman fingerling — CS2 Stats
76561198062380274[U:1:102114546]✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 45.3% | 48.1% |
| Shot accuracy | 15.3% | 12.9% |
| Kill/death ratio | 0.85 | 1.08 |
| Match win rate | 46.8% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 92% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: 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. 554ms 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 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
 inferno | B | 22 | 10–12 | 45% | -0.01 |
 nuke | C | 18 | 7–11 | 39% | -0.03 |
 mirage | B | 17 | 9–8 | 53% | -0.01 |
 dust2 | D | 12 | 4–8 | 33% | 0.01 |
 ancient | C | 12 | 5–7 | 42% | -0.02 |
 overpass | S | 7 | 5–2 | 71% | -0.00 |
 cache | D | 6 | 2–4 | 33% | -0.01 |
 anubis | B | 6 | 3–3 | 50% | 0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 304 | 47% | 0.95 | 14.9 |
| Inferno | 171 | 61% | 1.04 | 15.7 |
| Dust2 | 153 | 43% | 1.03 | 15.4 |
| Ancient | 151 | 56% | 0.98 | 15.1 |
| Anubis | 148 | 51% | 1.03 | 15.2 |
| Nuke | 130 | 54% | 1.06 | 16.2 |
| Overpass | 45 | 49% | 1.09 | 16.1 |
| Train | 35 | 40% | 1.12 | 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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–10 | 0.03 | 25% | 28 Aug → | |
| cache | 15–15 | 0.01 | 15% | 28 Aug → | |
| nuke | 13–7 | 0.02 | 38% | 27 Aug → | |
| dust2 | 6–13 | 0.00 | 33% | 27 Aug → | |
| cache | 13–16 | 0.00 | 13% | 27 Aug → | |
| mirage | 13–9 | -0.02 | 26% | 26 Aug → | |
| cache | 13–7 | -0.02 | 16% | 26 Aug → | |
| inferno | 9–13 | -0.00 | 32% | 26 Aug → | |
| nuke | 13–8 | -0.04 | 4% | 26 Aug → | |
| inferno | 13–6 | 0.01 | 26% | 26 Aug → | |
| mirage | 13–8 | -0.04 | 6% | 25 Aug → | |
| anubis | 13–7 | -0.02 | 18% | 25 Aug → | |
| dust2 | 15–15 | 0.05 | 28% | 24 Aug → | |
| inferno | 4–0 | 0.34 | 30% | 24 Aug → | |
| nuke | 11–13 | -0.05 | 25% | 24 Aug → | |
| ancient | 13–10 | -0.06 | 29% | 23 Aug → | |
| nuke | 4–13 | 0.06 | 22% | 23 Aug → | |
| cache | 9–13 | -0.05 | 20% | 23 Aug → | |
| nuke | 11–13 | -0.03 | 22% | 23 Aug → | |
| inferno | 8–13 | -0.02 | 21% | 23 Aug → | |
| ancient | 13–10 | 0.01 | 18% | 23 Aug → | |
| anubis | 9–13 | 0.10 | 35% | 10 Jun → | |
| nuke | 3–13 | -0.09 | 20% | 10 Jun → | |
| dust2 | 4–13 | -0.00 | 26% | 10 Jun → | |
| mirage | 0–13 | 0.00 | 45% | 10 Jun → | |
| dust2 | 10–13 | 0.00 | 22% | 31 May → | |
| inferno | 13–11 | -0.02 | 22% | 31 May → | |
| mirage | 1–13 | -0.02 | 21% | 31 May → | |
| mirage | 0–2 | -0.11 | 0% | 31 May → | |
| nuke | 0–13 | -0.11 | 14% | 31 May → | |
| dust2 | 5–13 | 0.03 | 34% | 31 May → | |
| nuke | 7–13 | -0.02 | 17% | 31 May → | |
| nuke | 10–13 | -0.04 | 14% | 28 May → | |
| ancient | 6–0 | 0.04 | 16% | 28 May → | |
| overpass | 13–11 | 0.04 | 12% | 24 May → | |
| overpass | 7–13 | 0.01 | 13% | 22 May → | |
| dust2 | 13–10 | 0.04 | 21% | 22 May → | |
| dust2 | 7–13 | 0.02 | 29% | 22 May → | |
| nuke | 9–13 | -0.07 | 7% | 22 May → | |
| nuke | 13–10 | 0.07 | 25% | 18 May → | |
| anubis | 13–5 | -0.00 | 23% | 16 May → | |
| dust2 | 13–11 | -0.04 | 13% | 16 May → | |
| nuke | 13–8 | 0.03 | 14% | 16 May → | |
| dust2 | 13–4 | 0.07 | 17% | 15 May → | |
| nuke | 13–8 | -0.03 | 11% | 14 May → | |
| inferno | 5–13 | -0.07 | 14% | 14 May → | |
| ancient | 5–13 | -0.02 | 24% | 14 May → | |
| inferno | 13–2 | 0.01 | 30% | 13 May → | |
| dust2 | 9–13 | -0.00 | 19% | 13 May → | |
| nuke | 13–16 | 0.02 | 12% | 8 May → | |
| cache | 13–9 | 0.01 | 27% | 7 May → | |
| inferno | 13–16 | -0.02 | 16% | 6 May → | |
| overpass | 22–19 | -0.04 | 15% | 6 May → | |
| dust2 | 13–10 | -0.01 | 15% | 5 May → | |
| inferno | 13–11 | 0.03 | 22% | 4 May → | |
| anubis | 13–1 | 0.08 | 39% | 4 May → | |
| inferno | 6–13 | -0.07 | 10% | 4 May → | |
| cache | 5–13 | -0.02 | 15% | 30 Apr → | |
| inferno | 13–10 | -0.06 | 30% | 29 Apr → | |
| mirage | 3–13 | -0.02 | 22% | 29 Apr → | |
| mirage | 9–13 | -0.01 | 24% | 24 Apr → | |
| nuke | 7–13 | -0.04 | 10% | 22 Apr → | |
| overpass | 13–9 | 0.04 | 20% | 22 Apr → | |
| mirage | 8–13 | -0.06 | 32% | 21 Apr → | |
| ancient | 8–13 | -0.06 | 19% | 18 Apr → | |
| mirage | 16–14 | -0.02 | 31% | 18 Apr → | |
| mirage | 13–7 | 0.01 | 26% | 18 Apr → | |
| inferno | 6–13 | 0.04 | 20% | 15 Apr → | |
| inferno | 16–12 | -0.02 | 13% | 13 Apr → | |
| ancient | 11–13 | -0.05 | 15% | 13 Apr → | |
| nuke | 7–13 | 0.00 | 17% | 10 Apr → | |
| mirage | 13–5 | 0.10 | 13% | 10 Apr → | |
| mirage | 13–8 | 0.09 | 15% | 10 Apr → | |
| overpass | 13–8 | 0.02 | 28% | 10 Apr → | |
| inferno | 15–15 | -0.02 | 27% | 8 Apr → | |
| mirage | 8–13 | -0.02 | 31% | 8 Apr → | |
| dust2 | 4–13 | -0.05 | 10% | 8 Apr → | |
| mirage | 13–8 | -0.02 | 12% | 2 Apr → | |
| nuke | 13–9 | -0.09 | 14% | 2 Apr → | |
| overpass | 13–5 | -0.04 | 11% | 1 Apr → | |
| ancient | 13–6 | -0.01 | 30% | 1 Apr → | |
| anubis | 11–13 | 0.00 | 24% | 29 Mar → | |
| inferno | 1–13 | -0.08 | 15% | 29 Mar → | |
| ancient | 10–13 | -0.05 | 14% | 29 Mar → | |
| mirage | 13–6 | 0.02 | 16% | 24 Mar → | |
| inferno | 3–13 | -0.10 | 0% | 24 Mar → | |
| overpass | 11–13 | -0.04 | 7% | 23 Mar → | |
| inferno | 9–13 | -0.02 | 22% | 16 Mar → | |
| ancient | 13–9 | 0.09 | 18% | 15 Mar → | |
| inferno | 16–13 | -0.03 | 7% | 15 Mar → | |
| inferno | 19–15 | -0.01 | 14% | 14 Mar → | |
| ancient | 6–13 | -0.01 | 19% | 5 Mar → | |
| anubis | 10–13 | -0.02 | 21% | 2 Mar → | |
| inferno | 13–10 | -0.02 | 28% | 1 Mar → | |
| mirage | 3–13 | -0.02 | 33% | 26 Feb → | |
| ancient | 11–13 | -0.03 | 6% | 25 Feb → | |
| inferno | 7–13 | -0.03 | 31% | 24 Feb → | |
| inferno | 8–13 | -0.02 | 27% | 24 Feb → | |
| nuke | 16–14 | -0.04 | 23% | 23 Feb → | |
| ancient | 15–15 | -0.04 | 20% | 23 Feb → |
Match data via Leetify.