Jim — CS2 Stats
US76561198126059526[U:1:165793798]Steam profile ↗
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=673), 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 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 35.0% | 41.2% | 42.2% | 7.1% short |
| Shot accuracy | 14.2% | 12.5% | 11.9% | above |
| Kill/death ratio | 0.95 | 0.96 | 0.98 | 0.03 short |
| Match win rate | 39.1% | 42.8% | 43.6% | 4.4% short |
This profile matches the typical Level 3 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 3 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: -20pp win rate · -0.00 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 b1t 81% playstyle similarity
Most alike: opening-fight frequency, 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
Reaction time. 654ms 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 4.1/10 (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 |
|---|---|---|---|---|---|
 dust2 | B | 37 | 18–19 | 49% | 0.03 |
 vertigo | C | 13 | 5–8 | 38% | 0.04 |
 nuke | C | 12 | 5–7 | 42% | 0.00 |
 ancient | D | 8 | 2–6 | 25% | -0.00 |
| alpine | S | 6 | 4–2 | 67% | 0.00 |
 mirage | D | 5 | 0–5 | 0% | 0.01 |
 anubis | A | 5 | 3–2 | 60% | -0.01 |
 inferno | — | 4 | 0–4 | 0% | -0.05 |
 cache | — | 3 | 0–3 | 0% | -0.01 |
| office | — | 3 | 2–1 | 67% | 0.01 |
| stronghold | — | 2 | 1–1 | 50% | -0.02 |
| grail | — | 1 | 0–1 | 0% | 0.03 |
| italy | — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Mirage 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 resultsLLLLL
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 14.0906° — above the 12° mark we flag
- 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 11.4743% — below the 15% 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 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 4–13 | 0.00 | 16% | 27 Aug → | |
| ancient | 9–13 | -0.02 | 7% | 21 Aug → | |
| ancient | 13–2 | 0.09 | 10% | 21 Aug → | |
| anubis | 4–13 | -0.07 | 3% | 21 Aug → | |
| nuke | 11–13 | 0.03 | 14% | 19 Aug → | |
| inferno | 2–13 | -0.07 | 21% | 18 Aug → | |
| dust2 | 13–5 | 0.02 | 8% | 18 Aug → | |
| nuke | 7–13 | -0.02 | 10% | 18 Aug → | |
| cache | 11–13 | 0.01 | 13% | 18 Aug → | |
| nuke | 11–13 | -0.00 | 6% | 17 Aug → | |
| nuke | 13–5 | 0.02 | 8% | 17 Aug → | |
| anubis | 13–7 | -0.02 | 12% | 17 Aug → | |
| dust2 | 7–13 | -0.09 | 16% | 17 Aug → | |
| dust2 | 15–15 | -0.00 | 7% | 16 Aug → | |
| dust2 | 6–13 | 0.08 | 20% | 14 Aug → | |
| cache | 9–13 | -0.02 | 15% | 14 Aug → | |
| cache | 7–13 | -0.01 | 14% | 30 Apr → | |
| ancient | 1–13 | -0.04 | 18% | 28 Mar → | |
| anubis | 13–6 | 0.05 | 4% | 26 Mar → | |
| nuke | 13–11 | 0.01 | 10% | 26 Mar → | |
| dust2 | 8–13 | -0.05 | 8% | 23 Mar → | |
| ancient | 13–9 | 0.03 | 8% | 7 Mar → | |
| ancient | 0–11 | -0.08 | 11% | 9 Feb → | |
| dust2 | 7–13 | 0.02 | 23% | 6 Feb → | |
| ancient | 13–16 | -0.03 | 13% | 5 Feb → | |
| dust2 | 6–13 | -0.04 | 8% | 5 Feb → | |
| mirage | 12–12 | 0.06 | 11% | 3 Feb → | |
| dust2 | 16–14 | 0.07 | 10% | 2 Feb → | |
| dust2 | 13–10 | 0.05 | 16% | 2 Feb → | |
| alpine | 13–11 | -0.03 | 13% | 2 Feb → | |
| alpine | 2–0 | 0.01 | 0% | 2 Feb → | |
| nuke | 8–13 | 0.01 | 9% | 1 Feb → | |
| dust2 | 6–13 | -0.02 | 20% | 1 Feb → | |
| vertigo | 8–13 | 0.13 | 12% | 1 Feb → | |
| alpine | 4–13 | -0.03 | 5% | 31 Jan → | |
| vertigo | 9–13 | -0.02 | 13% | 30 Jan → | |
| nuke | 13–2 | 0.04 | 9% | 30 Jan → | |
| anubis | 8–13 | -0.02 | 11% | 29 Jan → | |
| alpine | 13–10 | 0.03 | 11% | 29 Jan → | |
| vertigo | 10–3 | 0.14 | 9% | 29 Jan → | |
| alpine | 13–5 | 0.00 | 9% | 28 Jan → | |
| stronghold | 9–13 | -0.05 | 13% | 27 Jan → | |
| office | 4–4 | -0.05 | 9% | 27 Jan → | |
| alpine | 12–12 | 0.03 | 11% | 27 Jan → | |
| stronghold | 13–7 | 0.00 | 11% | 27 Jan → | |
| office | 11–13 | 0.04 | 19% | 27 Jan → | |
| vertigo | 13–7 | 0.05 | 5% | 27 Jan → | |
| vertigo | 13–9 | -0.00 | 15% | 13 Jan → | |
| anubis | 13–10 | 0.02 | 10% | 13 Jan → | |
| nuke | 3–13 | -0.12 | 16% | 13 Jan → | |
| vertigo | 6–13 | 0.07 | 18% | 12 Jan → | |
| inferno | 11–13 | 0.00 | 5% | 13 Nov → | |
| mirage | 8–13 | -0.04 | 7% | 4 Nov → | |
| vertigo | 5–9 | -0.04 | 10% | 1 Nov → | |
| dust2 | 5–13 | -0.03 | 12% | 6 Aug → | |
| ancient | 4–13 | -0.01 | 10% | 25 Jun → | |
| grail | 2–13 | 0.03 | 10% | 17 Jun → | |
| dust2 | 13–9 | 0.06 | 20% | 27 May → | |
| dust2 | 11–13 | 0.06 | 16% | 24 May → | |
| mirage | 10–13 | -0.02 | 10% | 16 May → | |
| nuke | 9–13 | -0.05 | 18% | 5 May → | |
| dust2 | 13–6 | 0.04 | 12% | 5 May → | |
| nuke | 13–10 | 0.03 | 7% | 28 Apr → | |
| vertigo | 6–13 | 0.03 | 10% | 27 Apr → | |
| vertigo | 1–8 | 0.07 | 33% | 18 Apr → | |
| vertigo | 13–5 | 0.06 | 12% | 18 Apr → | |
| vertigo | 12–12 | 0.01 | 10% | 18 Apr → | |
| dust2 | 13–9 | 0.04 | 12% | 4 Mar → | |
| vertigo | 11–13 | 0.05 | 14% | 9 Jan → | |
| ancient | 8–13 | 0.04 | 13% | 31 Dec → | |
| dust2 | 4–13 | -0.03 | 8% | 17 Dec → | |
| inferno | 1–9 | -0.15 | 38% | 3 Dec → | |
| dust2 | 13–7 | 0.11 | 16% | 30 Nov → | |
| vertigo | 13–4 | 0.03 | 12% | 30 Nov → | |
| dust2 | 4–13 | -0.04 | 8% | 10 Nov → | |
| dust2 | 3–13 | -0.11 | 25% | 7 Nov → | |
| dust2 | 6–13 | -0.07 | 9% | 4 Nov → | |
| nuke | 13–8 | 0.07 | 18% | 22 Oct → | |
| dust2 | 13–9 | -0.07 | 8% | 8 Oct → | |
| dust2 | 13–6 | 0.09 | 17% | 8 Oct → | |
| dust2 | 9–13 | 0.01 | 22% | 6 Oct → | |
| inferno | 8–8 | 0.02 | 14% | 6 Oct → | |
| dust2 | 13–6 | 0.12 | 14% | 6 Oct → | |
| dust2 | 13–6 | -0.01 | 10% | 6 Oct → | |
| dust2 | 13–9 | 0.06 | 25% | 6 Oct → | |
| dust2 | 13–4 | 0.07 | 21% | 6 Oct → | |
| dust2 | 13–10 | 0.22 | 22% | 5 Oct → | |
| mirage | 1–13 | 0.05 | 18% | 5 Oct → | |
| dust2 | 10–13 | 0.05 | 19% | 5 Oct → | |
| italy | 13–11 | 0.03 | 10% | 4 Oct → | |
| dust2 | 10–13 | 0.01 | 12% | 3 Oct → | |
| dust2 | 13–4 | 0.02 | 12% | 3 Oct → | |
| nuke | 7–9 | 0.02 | 13% | 3 Oct → | |
| dust2 | 5–0 | 0.12 | 14% | 3 Oct → | |
| office | 13–11 | 0.05 | 22% | 3 Oct → | |
| dust2 | 10–13 | -0.00 | 5% | 2 Oct → | |
| dust2 | 10–13 | 0.00 | 18% | 2 Oct → | |
| dust2 | 13–8 | 0.16 | 17% | 2 Oct → | |
| dust2 | 7–13 | 0.09 | 16% | 1 Oct → | |
| dust2 | 13–8 | 0.06 | 18% | 30 Sept → |
Match data via Leetify.
