EpäTarkka — CS2 Stats
JP76561198035514647[U:1:75248919]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 42.6% | 42.5% | 44.2% | 1.6% short |
| Shot accuracy | 18.6% | 10.9% | 11.2% | above |
| Kill/death ratio | 1.03 | 0.99 | 1.04 | meets |
| Match win rate | 44.6% | 44.2% | 45.3% | meets |
This profile matches the typical Level 5 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 86% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower opening-duel success; 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. 582ms 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 |
|---|---|---|---|---|---|
 cache | C | 32 | 13–19 | 41% | -0.01 |
 inferno | A | 13 | 8–5 | 62% | -0.01 |
 nuke | C | 12 | 5–7 | 42% | -0.01 |
 dust2 | D | 11 | 3–8 | 27% | -0.03 |
 mirage | C | 10 | 4–6 | 40% | -0.02 |
 ancient | C | 9 | 4–5 | 44% | -0.04 |
 anubis | D | 6 | 0–6 | 0% | -0.06 |
 overpass | — | 4 | 3–1 | 75% | -0.00 |
 vertigo | — | 1 | 0–1 | 0% | -0.05 |
| office | — | 1 | 0–1 | 0% | -0.04 |
 train | — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (0% over 6). 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 resultsWWLWW
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 0.4131 — 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 34.4728% — 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.
0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 7–13 | 0.01 | 29% | 25 Jul → | |
| dust2 | 8–13 | 0.01 | 23% | 25 Jul → | |
| inferno | 13–10 | 0.02 | 20% | 25 Jul → | |
| inferno | 13–2 | -0.03 | 38% | 25 Jul → | |
| inferno | 13–3 | 0.02 | 21% | 25 Jul → | |
| anubis | 2–13 | -0.11 | 5% | 25 Jul → | |
| nuke | 5–13 | -0.07 | 33% | 25 Jul → | |
| ancient | 13–10 | -0.01 | 14% | 23 Jul → | |
| ancient | 11–13 | -0.05 | 0% | 23 Jul → | |
| nuke | 8–13 | -0.05 | 18% | 23 Jul → | |
| nuke | 6–13 | 0.01 | 19% | 5 Jul → | |
| dust2 | 9–13 | 0.08 | 26% | 5 Jul → | |
| mirage | 1–8 | -0.09 | 33% | 5 Jul → | |
| inferno | 13–5 | -0.02 | 24% | 4 Jul → | |
| anubis | 3–13 | -0.08 | 19% | 4 Jul → | |
| dust2 | 13–9 | -0.06 | 14% | 4 Jul → | |
| overpass | 13–9 | 0.03 | 12% | 4 Jul → | |
| ancient | 8–13 | -0.01 | 13% | 4 Jul → | |
| anubis | 6–13 | -0.07 | 13% | 4 Jul → | |
| mirage | 16–12 | 0.09 | 18% | 4 Jul → | |
| nuke | 11–13 | -0.05 | 14% | 4 Jul → | |
| dust2 | 5–13 | -0.09 | 26% | 3 Jul → | |
| ancient | 13–10 | -0.04 | 31% | 3 Jul → | |
| dust2 | 10–13 | -0.01 | 6% | 2 Jul → | |
| overpass | 15–15 | -0.05 | 24% | 2 Jul → | |
| inferno | 15–15 | 0.01 | 9% | 2 Jul → | |
| nuke | 13–11 | -0.03 | 16% | 2 Jul → | |
| nuke | 13–1 | -0.01 | 18% | 2 Jul → | |
| mirage | 13–9 | 0.04 | 12% | 2 Jul → | |
| anubis | 10–13 | -0.05 | 21% | 29 Jun → | |
| nuke | 13–11 | -0.00 | 29% | 29 Jun → | |
| dust2 | 11–13 | -0.05 | 14% | 29 Jun → | |
| inferno | 13–4 | -0.03 | 12% | 26 Jun → | |
| overpass | 13–11 | -0.01 | 21% | 26 Jun → | |
| ancient | 13–3 | -0.04 | 13% | 26 Jun → | |
| dust2 | 13–2 | 0.05 | 25% | 26 Jun → | |
| cache | 5–13 | 0.04 | 57% | 17 Jun → | |
| mirage | 13–7 | 0.01 | 25% | 17 Jun → | |
| cache | 12–12 | 0.03 | 28% | 16 Jun → | |
| inferno | 7–13 | -0.07 | 11% | 3 Jun → | |
| inferno | 13–8 | 0.02 | 23% | 3 Jun → | |
| nuke | 5–13 | -0.03 | 36% | 3 Jun → | |
| cache | 12–12 | -0.05 | 40% | 31 May → | |
| cache | 9–13 | -0.02 | 31% | 31 May → | |
| ancient | 13–3 | -0.01 | 22% | 31 May → | |
| inferno | 13–11 | 0.01 | 9% | 31 May → | |
| dust2 | 8–13 | -0.08 | 18% | 25 May → | |
| nuke | 13–3 | 0.09 | 28% | 25 May → | |
| dust2 | 10–13 | -0.04 | 29% | 25 May → | |
| mirage | 10–13 | 0.03 | 16% | 25 May → | |
| ancient | 4–13 | -0.09 | 5% | 25 May → | |
| inferno | 11–13 | -0.04 | 13% | 25 May → | |
| cache | 13–9 | -0.08 | 23% | 15 May → | |
| dust2 | 5–13 | -0.09 | 17% | 15 May → | |
| mirage | 4–13 | -0.06 | 47% | 15 May → | |
| inferno | 14–16 | 0.01 | 26% | 15 May → | |
| mirage | 8–13 | -0.04 | 26% | 14 May → | |
| cache | 12–12 | -0.06 | 17% | 14 May → | |
| cache | 12–12 | -0.03 | 21% | 14 May → | |
| vertigo | 11–13 | -0.05 | 42% | 14 May → | |
| cache | 13–10 | -0.05 | 36% | 14 May → | |
| cache | 13–8 | -0.05 | 48% | 14 May → | |
| dust2 | 13–10 | -0.06 | 16% | 8 May → | |
| cache | 13–4 | -0.01 | 27% | 8 May → | |
| office | 12–12 | -0.04 | 24% | 7 May → | |
| cache | 12–12 | -0.05 | 50% | 7 May → | |
| ancient | 7–13 | -0.04 | 38% | 7 May → | |
| inferno | 13–11 | -0.02 | 30% | 7 May → | |
| cache | 13–5 | 0.12 | 32% | 6 May → | |
| cache | 6–13 | -0.06 | 28% | 6 May → | |
| cache | 13–10 | 0.05 | 35% | 6 May → | |
| cache | 9–13 | 0.08 | 23% | 6 May → | |
| cache | 13–7 | 0.05 | 21% | 6 May → | |
| cache | 12–12 | 0.01 | 38% | 6 May → | |
| mirage | 11–13 | -0.03 | 25% | 4 May → | |
| nuke | 10–13 | 0.01 | 36% | 4 May → | |
| cache | 13–9 | -0.02 | 20% | 4 May → | |
| cache | 6–13 | -0.04 | 22% | 4 May → | |
| cache | 12–12 | -0.07 | 41% | 3 May → | |
| cache | 10–13 | -0.00 | 32% | 3 May → | |
| cache | 13–7 | -0.04 | 43% | 3 May → | |
| cache | 12–12 | -0.05 | 48% | 3 May → | |
| cache | 7–13 | -0.08 | 50% | 3 May → | |
| cache | 13–11 | -0.03 | 23% | 3 May → | |
| cache | 8–13 | -0.05 | 23% | 3 May → | |
| cache | 13–8 | 0.01 | 29% | 3 May → | |
| cache | 13–8 | 0.06 | 33% | 3 May → | |
| cache | 12–12 | 0.02 | 32% | 3 May → | |
| cache | 11–13 | -0.06 | 31% | 30 Apr → | |
| cache | 13–2 | -0.01 | 26% | 30 Apr → | |
| cache | 5–13 | -0.01 | 45% | 29 Apr → | |
| ancient | 7–13 | -0.07 | 23% | 27 Apr → | |
| nuke | 10–13 | -0.05 | 32% | 27 Apr → | |
| train | 10–13 | -0.06 | 26% | 27 Apr → | |
| overpass | 13–8 | 0.01 | 29% | 27 Apr → | |
| anubis | 11–13 | -0.08 | 9% | 26 Apr → | |
| mirage | 12–12 | -0.07 | 16% | 26 Apr → | |
| inferno | 10–13 | -0.06 | 44% | 24 Apr → | |
| nuke | 13–9 | 0.02 | 50% | 24 Apr → | |
| mirage | 13–9 | -0.05 | 32% | 24 Apr → |
Match data via Leetify.
