JoShYn — CS2 Stats
76561199406371142[U:1:1446105414]✓ No bans
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 57.5% | 42.2% | 42.7% | above |
| Shot accuracy | 0.4% | 11.9% | 10.8% | 10.4% short |
| Kill/death ratio | 0.84 | 0.98 | 1.00 | 0.16 short |
| Match win rate | 38.9% | 43.6% | 44.1% | 5.3% short |
This profile matches the typical Level 4 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 4 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: +30pp win rate · +0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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, utility contribution.
Where you differ: lower aim profile; lower opening-duel success.
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
Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.
Reaction time. 599ms 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 4.7/10 (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 |
|---|---|---|---|---|---|
 inferno | B | 52 | 27–25 | 52% | 0.01 |
 nuke | B | 13 | 6–7 | 46% | -0.01 |
 mirage | D | 10 | 2–8 | 20% | -0.02 |
 anubis | D | 7 | 0–7 | 0% | -0.03 |
 ancient | — | 4 | 2–2 | 50% | -0.02 |
 dust2 | — | 3 | 1–2 | 33% | -0.04 |
 cache | — | 3 | 2–1 | 67% | 0.00 |
| rooftop | — | 2 | 2–0 | 100% | 0.12 |
 vertigo | — | 1 | 1–0 | 100% | -0.03 |
 train | — | 1 | 0–1 | 0% | -0.05 |
| poseidon | — | 1 | 0–1 | 0% | -0.13 |
| alpine | — | 1 | 0–1 | 0% | -0.04 |
| dogtown | — | 1 | 1–0 | 100% | 0.02 |
 overpass | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (0% over 7). 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 resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 39 | 41% | 0.75 | 10.9 |
| Anubis | 28 | 61% | 0.90 | 13.0 |
| Dust2 | 23 | 30% | 0.72 | 11.4 |
| Ancient | 16 | 50% | 0.74 | 11.6 |
| Inferno | 14 | 71% | 0.85 | 12.5 |
| Nuke | 7 | 57% | 0.85 | 14.6 |
| Vertigo | 3 | 33% | 0.96 | 17.3 |
| Train | 1 | 0% | 1.08 | 26.0 |
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.
- 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 27.1615% — 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 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 9–13 | -0.07 | 20% | 28 Jul → | |
| anubis | 8–13 | -0.03 | 23% | 8 Jul → | |
| anubis | 11–13 | -0.02 | 21% | 27 Jun → | |
| dust2 | 6–13 | -0.06 | 13% | 5 Jun → | |
| vertigo | 13–2 | -0.03 | 37% | 29 May → | |
| ancient | 13–11 | -0.00 | 24% | 29 May → | |
| inferno | 13–7 | -0.03 | 24% | 25 May → | |
| inferno | 9–6 | -0.03 | 70% | 25 May → | |
| mirage | 3–5 | -0.09 | 11% | 17 May → | |
| cache | 13–8 | 0.01 | 22% | 16 May → | |
| dust2 | 6–13 | -0.12 | 30% | 16 May → | |
| cache | 12–12 | 0.01 | 20% | 15 May → | |
| train | 9–13 | -0.05 | 24% | 15 May → | |
| cache | 13–9 | -0.02 | 26% | 10 May → | |
| mirage | 2–13 | -0.03 | 30% | 27 Apr → | |
| poseidon | 2–9 | -0.13 | 38% | 24 Apr → | |
| mirage | 9–13 | -0.02 | 45% | 17 Apr → | |
| nuke | 0–6 | -0.11 | 25% | 17 Apr → | |
| ancient | 11–13 | 0.03 | 30% | 16 Apr → | |
| mirage | 13–1 | 0.01 | 28% | 16 Apr → | |
| mirage | 9–13 | -0.01 | 28% | 14 Apr → | |
| inferno | 8–13 | 0.01 | 12% | 14 Apr → | |
| inferno | 1–13 | -0.11 | 17% | 12 Apr → | |
| inferno | 13–2 | -0.06 | 24% | 10 Apr → | |
| nuke | 9–7 | -0.03 | 13% | 10 Apr → | |
| anubis | 6–13 | 0.04 | 23% | 7 Apr → | |
| inferno | 13–3 | -0.02 | 30% | 7 Apr → | |
| inferno | 10–13 | -0.03 | 23% | 7 Apr → | |
| inferno | 9–0 | 0.03 | 18% | 7 Apr → | |
| inferno | 7–13 | -0.07 | 17% | 3 Apr → | |
| mirage | 4–13 | -0.04 | 34% | 31 Mar → | |
| inferno | 5–9 | -0.15 | 50% | 31 Mar → | |
| inferno | 13–9 | -0.03 | 27% | 17 Mar → | |
| inferno | 4–9 | -0.09 | 35% | 17 Mar → | |
| nuke | 9–6 | 0.05 | 33% | 17 Mar → | |
| inferno | 8–8 | 0.11 | 20% | 25 Feb → | |
| alpine | 10–13 | -0.04 | 28% | 25 Feb → | |
| mirage | 13–9 | -0.09 | 7% | 25 Feb → | |
| inferno | 5–9 | -0.08 | 25% | 25 Feb → | |
| anubis | 12–12 | -0.04 | 14% | 6 Feb → | |
| inferno | 8–8 | -0.08 | 50% | 6 Feb → | |
| inferno | 13–4 | 0.03 | 42% | 10 Jan → | |
| inferno | 13–6 | 0.02 | 27% | 10 Jan → | |
| inferno | 3–9 | -0.18 | 14% | 24 Dec → | |
| nuke | 9–2 | -0.05 | 7% | 24 Dec → | |
| ancient | 2–13 | -0.14 | 11% | 23 Dec → | |
| rooftop | 9–4 | 0.14 | 40% | 22 Dec → | |
| ancient | 13–5 | 0.02 | 42% | 22 Dec → | |
| nuke | 8–8 | 0.02 | 21% | 14 Dec → | |
| rooftop | 9–3 | 0.09 | 22% | 2 Dec → | |
| nuke | 5–9 | -0.03 | 41% | 20 Oct → | |
| nuke | 8–8 | -0.07 | 11% | 29 Aug → | |
| inferno | 6–9 | 0.01 | 60% | 29 Aug → | |
| mirage | 12–12 | -0.03 | 32% | 14 Aug → | |
| inferno | 13–3 | 0.07 | 19% | 9 Jul → | |
| inferno | 9–7 | 0.27 | 28% | 3 Jul → | |
| inferno | 13–11 | -0.03 | 16% | 20 Jun → | |
| anubis | 9–13 | -0.03 | 23% | 15 Jun → | |
| inferno | 6–9 | -0.04 | 24% | 11 Jun → | |
| nuke | 6–9 | -0.05 | 25% | 11 Jun → | |
| mirage | 2–8 | 0.03 | 47% | 9 Jun → | |
| mirage | 6–13 | 0.12 | 38% | 23 May → | |
| dogtown | 9–6 | 0.02 | 48% | 18 May → | |
| inferno | 6–9 | 0.03 | 56% | 3 May → | |
| nuke | 9–5 | 0.04 | 26% | 3 May → | |
| nuke | 9–0 | 0.03 | 0% | 3 May → | |
| inferno | 9–0 | 0.03 | 100% | 3 May → | |
| inferno | 8–8 | -0.04 | 22% | 2 May → | |
| nuke | 9–6 | 0.15 | 32% | 2 May → | |
| inferno | 8–8 | 0.10 | 40% | 2 May → | |
| inferno | 9–7 | 0.10 | 46% | 2 May → | |
| inferno | 8–8 | 0.01 | 39% | 2 May → | |
| inferno | 4–9 | -0.05 | 22% | 2 May → | |
| anubis | 5–13 | -0.02 | 26% | 26 Apr → | |
| inferno | 7–9 | -0.02 | 33% | 26 Apr → | |
| overpass | 7–9 | 0.03 | 15% | 26 Apr → | |
| inferno | 0–9 | -0.08 | 100% | 8 Apr → | |
| inferno | 2–9 | -0.05 | 62% | 6 Apr → | |
| inferno | 9–3 | 0.04 | 36% | 6 Apr → | |
| anubis | 3–13 | -0.12 | 13% | 3 Apr → | |
| inferno | 0–9 | -0.15 | 33% | 1 Apr → | |
| inferno | 2–9 | -0.20 | 0% | 1 Apr → | |
| inferno | 9–5 | 0.10 | 24% | 30 Mar → | |
| inferno | 8–8 | 0.07 | 64% | 29 Mar → | |
| inferno | 9–6 | 0.13 | 38% | 29 Mar → | |
| inferno | 9–5 | 0.16 | 22% | 29 Mar → | |
| inferno | 8–8 | -0.07 | 25% | 29 Mar → | |
| dust2 | 13–9 | 0.07 | 23% | 29 Mar → | |
| inferno | 9–4 | 0.05 | 24% | 29 Mar → | |
| inferno | 9–4 | 0.17 | 65% | 29 Mar → | |
| nuke | 3–9 | -0.01 | 46% | 29 Mar → | |
| inferno | 9–7 | 0.08 | 45% | 29 Mar → | |
| inferno | 9–7 | -0.02 | 32% | 27 Mar → | |
| inferno | 9–6 | 0.12 | 73% | 27 Mar → | |
| inferno | 8–8 | 0.15 | 58% | 27 Mar → | |
| inferno | 9–5 | -0.04 | 20% | 27 Mar → | |
| inferno | 9–3 | 0.06 | 36% | 27 Mar → | |
| inferno | 9–5 | 0.10 | 69% | 25 Mar → | |
| inferno | 9–7 | -0.03 | 14% | 25 Mar → | |
| inferno | 9–6 | 0.08 | 39% | 25 Mar → |
Match data via Leetify.
