J A W $ H — CS2 Stats
76561197998772655[U:1:38506927]
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 | 39.6% | 42.1% | 42.5% | 2.8% short |
| Shot accuracy | 3.6% | 12.1% | 10.9% | 7.2% short |
| Kill/death ratio | 0.94 | 0.99 | 0.99 | 0.06 short |
| Match win rate | 38.9% | 43.9% | 44.2% | 5.3% short |
This profile sits below the typical Level 4 player on every metric we can compare.
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: +0pp win rate · -0.04 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 68% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower positioning profile; 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. 763ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 70% 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 2.7/10 (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 |
|---|---|---|---|---|---|
 cache | D | 23 | 7–16 | 30% | -0.03 |
 ancient | D | 10 | 2–8 | 20% | -0.02 |
| office | C | 10 | 4–6 | 40% | -0.03 |
 dust2 | C | 9 | 4–5 | 44% | -0.03 |
 nuke | C | 9 | 4–5 | 44% | -0.01 |
 anubis | C | 8 | 3–5 | 38% | -0.03 |
 train | C | 8 | 3–5 | 38% | 0.01 |
 vertigo | D | 6 | 2–4 | 33% | -0.10 |
 mirage | B | 6 | 3–3 | 50% | -0.01 |
 inferno | D | 6 | 2–4 | 33% | -0.07 |
 overpass | — | 3 | 2–1 | 67% | -0.00 |
| warden | — | 1 | 1–0 | 100% | -0.00 |
| stronghold | — | 1 | 0–1 | 0% | 0.00 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient 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 resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 4 | 25% | 1.34 | 20.3 |
| Inferno | 3 | 0% | 0.85 | 13.0 |
| Anubis | 3 | 100% | 0.92 | 10.0 |
| Ancient | 2 | 0% | 0.47 | 7.5 |
| Mirage | 2 | 50% | 0.92 | 12.0 |
| Train | 1 | 0% | 0.60 | 9.0 |
| Vertigo | 1 | 0% | 0.79 | 11.0 |
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 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.4748% — below the 15% mark we flag
- 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 762.6893ms — above the 700ms 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 31.607% — 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.
20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 1–13 | -0.07 | 23% | 19 Aug → | |
| cache | 12–12 | 0.02 | 16% | 31 Jul → | |
| vertigo | 13–11 | -0.07 | 26% | 26 Jul → | |
| mirage | 10–4 | -0.09 | 11% | 26 Jul → | |
| dust2 | 1–13 | -0.06 | 25% | 26 Jul → | |
| cache | 3–13 | -0.04 | 13% | 26 Jul → | |
| anubis | 7–13 | -0.02 | 10% | 26 Jul → | |
| nuke | 11–13 | -0.08 | 15% | 19 Jul → | |
| inferno | 13–9 | -0.10 | 10% | 19 Jul → | |
| nuke | 13–11 | -0.07 | 12% | 17 Jul → | |
| dust2 | 13–7 | -0.04 | 19% | 17 Jul → | |
| ancient | 13–2 | 0.04 | 10% | 14 Jul → | |
| cache | 0–6 | -0.06 | 0% | 14 Jul → | |
| nuke | 9–5 | 0.09 | 15% | 11 Jul → | |
| cache | 13–11 | -0.02 | 5% | 9 Jul → | |
| cache | 12–12 | -0.07 | 19% | 8 Jul → | |
| cache | 1–13 | -0.04 | 3% | 8 Jul → | |
| cache | 12–12 | 0.03 | 12% | 5 Jul → | |
| mirage | 5–13 | 0.01 | 16% | 5 Jul → | |
| train | 9–13 | -0.10 | 13% | 5 Jul → | |
| nuke | 13–6 | 0.05 | 12% | 30 Jun → | |
| nuke | 2–13 | -0.10 | 20% | 28 Jun → | |
| cache | 7–13 | -0.05 | 8% | 28 Jun → | |
| inferno | 13–5 | -0.03 | 30% | 28 Jun → | |
| cache | 8–13 | 0.02 | 14% | 28 Jun → | |
| cache | 7–13 | -0.05 | 17% | 27 Jun → | |
| nuke | 12–12 | -0.05 | 15% | 21 Jun → | |
| ancient | 4–13 | -0.03 | 4% | 21 Jun → | |
| cache | 13–5 | 0.07 | 24% | 20 Jun → | |
| inferno | 1–6 | -0.04 | 0% | 14 Jun → | |
| inferno | 5–13 | -0.10 | 13% | 14 Jun → | |
| cache | 5–13 | -0.07 | 27% | 14 Jun → | |
| dust2 | 12–12 | -0.06 | 10% | 14 Jun → | |
| ancient | 13–8 | -0.06 | 10% | 7 Jun → | |
| cache | 9–3 | 0.00 | 22% | 7 Jun → | |
| vertigo | 0–13 | -0.12 | 10% | 7 Jun → | |
| dust2 | 9–13 | 0.00 | 2% | 7 Jun → | |
| cache | 13–7 | 0.01 | 15% | 7 Jun → | |
| train | 1–1 | 0.09 | 25% | 7 Jun → | |
| vertigo | 13–9 | -0.06 | 7% | 24 May → | |
| office | 13–5 | 0.06 | 13% | 24 May → | |
| cache | 13–7 | -0.01 | 26% | 17 May → | |
| office | 9–13 | -0.07 | 15% | 17 May → | |
| cache | 4–13 | 0.03 | 24% | 14 May → | |
| office | 13–10 | -0.01 | 10% | 14 May → | |
| cache | 12–12 | -0.10 | 4% | 11 May → | |
| dust2 | 9–13 | -0.09 | 10% | 11 May → | |
| cache | 13–5 | -0.12 | 12% | 11 May → | |
| cache | 13–11 | 0.02 | 14% | 10 May → | |
| cache | 8–13 | -0.06 | 14% | 1 May → | |
| cache | 12–12 | -0.01 | 4% | 29 Apr → | |
| cache | 2–13 | -0.00 | 15% | 28 Apr → | |
| office | 6–13 | -0.04 | 7% | 26 Apr → | |
| inferno | 4–9 | -0.15 | 0% | 19 Apr → | |
| office | 7–13 | -0.04 | 20% | 14 Apr → | |
| office | 6–13 | -0.05 | 10% | 14 Apr → | |
| ancient | 11–13 | -0.01 | 16% | 14 Apr → | |
| anubis | 13–4 | 0.03 | 16% | 12 Apr → | |
| anubis | 8–13 | -0.03 | 17% | 5 Apr → | |
| anubis | 3–13 | -0.06 | 18% | 5 Apr → | |
| anubis | 13–9 | 0.02 | 13% | 5 Apr → | |
| overpass | 1–9 | -0.14 | 12% | 29 Mar → | |
| vertigo | 2–13 | -0.08 | 17% | 29 Mar → | |
| train | 0–13 | -0.06 | 5% | 29 Mar → | |
| mirage | 10–13 | 0.03 | 8% | 22 Mar → | |
| dust2 | 7–4 | -0.04 | 0% | 22 Mar → | |
| nuke | 9–13 | -0.01 | 5% | 9 Mar → | |
| mirage | 13–3 | 0.04 | 12% | 9 Mar → | |
| ancient | 6–13 | -0.02 | 5% | 2 Mar → | |
| train | 13–7 | -0.08 | 50% | 1 Mar → | |
| ancient | 1–13 | -0.12 | 0% | 1 Mar → | |
| office | 13–9 | -0.11 | 13% | 1 Mar → | |
| mirage | 13–8 | -0.02 | 16% | 26 Feb → | |
| anubis | 4–13 | -0.13 | 14% | 25 Jan → | |
| ancient | 11–13 | -0.04 | 10% | 24 Jan → | |
| warden | 13–11 | -0.00 | 9% | 22 Jan → | |
| stronghold | 3–12 | 0.00 | 13% | 22 Jan → | |
| dust2 | 13–10 | -0.02 | 20% | 19 Jan → | |
| overpass | 13–4 | 0.02 | 13% | 19 Jan → | |
| train | 13–8 | 0.02 | 15% | 19 Jan → | |
| anubis | 13–6 | 0.01 | 14% | 18 Jan → | |
| inferno | 8–8 | -0.00 | 16% | 18 Jan → | |
| vertigo | 2–9 | -0.19 | 33% | 18 Jan → | |
| nuke | 13–6 | 0.01 | 9% | 11 Jan → | |
| train | 10–13 | 0.08 | 18% | 4 Jan → | |
| ancient | 8–13 | -0.04 | 16% | 4 Jan → | |
| train | 13–2 | 0.10 | 22% | 3 Jan → | |
| dust2 | 13–10 | 0.02 | 14% | 1 Jan → | |
| office | 13–8 | -0.02 | 19% | 1 Jan → | |
| office | 1–13 | -0.03 | 10% | 1 Jan → | |
| mirage | 9–13 | -0.02 | 5% | 21 Dec → | |
| dust2 | 6–13 | 0.05 | 13% | 16 Dec → | |
| train | 5–8 | -0.01 | 5% | 16 Dec → | |
| ancient | 10–13 | 0.03 | 12% | 16 Dec → | |
| office | 6–13 | 0.03 | 16% | 16 Dec → | |
| ancient | 10–13 | 0.03 | 17% | 15 Dec → | |
| overpass | 13–2 | 0.11 | 27% | 15 Dec → | |
| anubis | 7–13 | -0.02 | 11% | 15 Dec → | |
| vertigo | 3–13 | -0.07 | 10% | 14 Dec → | |
| nuke | 5–13 | 0.03 | 19% | 14 Dec → |
Match data via Leetify.
