JeRrY — CS2 Stats
US76561198129667544[U:1:169401816]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Grey band among CSDB-tracked players (n=369), 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 | Grey band median | Light Blue band median | vs Light Blue band |
|---|---|---|---|---|
| Headshot rate | 34.2% | 37.5% | 39.7% | 5.5% short |
| Shot accuracy | 11.6% | 4.5% | 6.7% | above |
| Kill/death ratio | 0.73 | 0.82 | 0.91 | 0.18 short |
| Match win rate | 37.9% | 39.1% | 42.1% | 4.2% short |
This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Light Blue band 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
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Strengths & areas to improve
Areas to improve
T-side openings. Opening success drops from 34% on CT to 12% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 766ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 66% 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 1.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| B | 19 | 10–9 | 53% | -0.03 | |
| C | 19 | 7–12 | 37% | -0.04 | |
| C | 17 | 6–11 | 35% | -0.06 | |
| C | 14 | 5–9 | 36% | -0.05 | |
| D | 9 | 2–7 | 22% | -0.06 | |
| D | 9 | 2–7 | 22% | -0.08 | |
| D | 5 | 1–4 | 20% | -0.08 | |
| D | 5 | 0–5 | 0% | -0.10 | |
| poseidon | — | 1 | 0–1 | 0% | -0.14 |
| — | 1 | 0–1 | 0% | -0.16 | |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Overpass 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.
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 15.4895° — 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 8.7958% — 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 765.5683ms — above the 700ms 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 | |
|---|---|---|---|---|---|
| 16–14 | -0.06 | 7% | 20 Aug → | ||
| 6–13 | -0.02 | 14% | 20 Aug → | ||
| 13–8 | -0.02 | 18% | 20 Aug → | ||
| 7–13 | -0.04 | 8% | 19 Aug → | ||
| 11–13 | -0.03 | 13% | 19 Aug → | ||
| 2–13 | -0.07 | 7% | 19 Aug → | ||
| 2–13 | -0.10 | 7% | 19 Aug → | ||
| 11–13 | -0.06 | 5% | 19 Aug → | ||
| 6–13 | -0.09 | 3% | 19 Aug → | ||
| 13–10 | -0.01 | 9% | 19 Aug → | ||
| 13–16 | -0.04 | 11% | 19 Aug → | ||
| poseidon | 2–9 | -0.14 | 0% | 19 Aug → | |
| 4–13 | -0.10 | 14% | 13 Aug → | ||
| 11–13 | -0.06 | 7% | 13 Aug → | ||
| 9–13 | -0.09 | 8% | 13 Aug → | ||
| 13–10 | -0.03 | 15% | 13 Aug → | ||
| 2–13 | -0.05 | 10% | 12 Aug → | ||
| 13–5 | 0.06 | 17% | 12 Aug → | ||
| 13–5 | -0.07 | 7% | 12 Aug → | ||
| 6–13 | -0.12 | 6% | 7 Aug → | ||
| 13–7 | -0.06 | 0% | 7 Aug → | ||
| 13–9 | -0.07 | 6% | 7 Aug → | ||
| 8–13 | -0.03 | 12% | 7 Aug → | ||
| 8–13 | -0.11 | 10% | 7 Aug → | ||
| 9–13 | -0.05 | 14% | 7 Aug → | ||
| 11–13 | 0.00 | 4% | 6 Aug → | ||
| 8–13 | -0.13 | 6% | 5 Aug → | ||
| 15–15 | -0.04 | 8% | 5 Aug → | ||
| 13–11 | -0.12 | 3% | 5 Aug → | ||
| 7–9 | -0.16 | 6% | 5 Aug → | ||
| 10–13 | -0.03 | 8% | 30 Jul → | ||
| 13–8 | 0.04 | 8% | 30 Jul → | ||
| 13–9 | -0.02 | 8% | 30 Jul → | ||
| 13–7 | -0.07 | 9% | 30 Jul → | ||
| 13–4 | -0.04 | 5% | 30 Jul → | ||
| 3–13 | -0.05 | 13% | 30 Jul → | ||
| 4–13 | 0.01 | 13% | 30 Jul → | ||
| 15–15 | -0.05 | 8% | 29 Jul → | ||
| 13–11 | -0.08 | 5% | 29 Jul → | ||
| 13–8 | 0.01 | 11% | 24 Jul → | ||
| 13–11 | -0.02 | 18% | 24 Jul → | ||
| 13–4 | 0.00 | 7% | 23 Jul → | ||
| 13–9 | 0.02 | 11% | 16 Jul → | ||
| 7–13 | 0.02 | 12% | 16 Jul → | ||
| 1–13 | -0.08 | 5% | 15 Jul → | ||
| 13–16 | -0.08 | 10% | 15 Jul → | ||
| 10–13 | -0.11 | 3% | 15 Jul → | ||
| 6–13 | -0.06 | 3% | 15 Jul → | ||
| 6–13 | -0.10 | 11% | 15 Jul → | ||
| 3–13 | -0.09 | 13% | 15 Jul → | ||
| 12–2 | -0.03 | 0% | 15 Jul → | ||
| 10–13 | -0.03 | 6% | 13 Jul → | ||
| 13–3 | 0.09 | 17% | 13 Jul → | ||
| 9–6 | 0.01 | 6% | 1 Jul → | ||
| 11–13 | -0.08 | 10% | 1 Jul → | ||
| 8–13 | -0.07 | 6% | 26 Jun → | ||
| 6–13 | -0.06 | 5% | 26 Jun → | ||
| 5–13 | -0.02 | 8% | 25 Jun → | ||
| 13–16 | -0.08 | 7% | 23 Jun → | ||
| 7–13 | -0.13 | 5% | 22 Jun → | ||
| 9–13 | -0.15 | 0% | 22 Jun → | ||
| 13–2 | -0.00 | 20% | 22 Jun → | ||
| 7–13 | -0.03 | 10% | 18 Jun → | ||
| 4–13 | -0.06 | 6% | 3 Jun → | ||
| 3–13 | -0.08 | 23% | 3 Jun → | ||
| 4–13 | -0.08 | 3% | 3 Jun → | ||
| 9–13 | -0.03 | 8% | 3 Jun → | ||
| 13–9 | 0.01 | 11% | 3 Jun → | ||
| 7–13 | -0.09 | 16% | 2 Jun → | ||
| 7–13 | -0.08 | 9% | 2 Jun → | ||
| 11–13 | -0.07 | 15% | 2 Jun → | ||
| 8–13 | -0.14 | 9% | 2 Jun → | ||
| 12–12 | -0.12 | 4% | 2 Jun → | ||
| 6–13 | -0.06 | 5% | 2 Jun → | ||
| 14–16 | 0.00 | 13% | 31 May → | ||
| 13–9 | -0.02 | 8% | 25 May → | ||
| 13–9 | -0.05 | 9% | 25 May → | ||
| 13–10 | -0.07 | 9% | 13 May → | ||
| 13–3 | -0.06 | 17% | 11 May → | ||
| 12–16 | -0.06 | 10% | 11 May → | ||
| 5–13 | -0.09 | 2% | 8 May → | ||
| 7–13 | -0.03 | 13% | 6 May → | ||
| 5–13 | -0.05 | 13% | 6 May → | ||
| 13–8 | -0.03 | 1% | 6 May → | ||
| 9–13 | -0.06 | 11% | 29 Apr → | ||
| 7–13 | -0.06 | 11% | 28 Apr → | ||
| 13–5 | -0.06 | 20% | 28 Apr → | ||
| 13–7 | -0.06 | 5% | 28 Apr → | ||
| 10–13 | -0.02 | 7% | 28 Apr → | ||
| 11–13 | -0.08 | 4% | 28 Apr → | ||
| 13–10 | -0.03 | 8% | 21 Apr → | ||
| 8–10 | -0.14 | 12% | 19 Apr → | ||
| 3–13 | -0.09 | 0% | 19 Apr → | ||
| 0–4 | -0.11 | 0% | 31 Mar → | ||
| 10–13 | -0.02 | 16% | 24 Mar → | ||
| 8–13 | -0.09 | 0% | 18 Feb → | ||
| 13–8 | -0.06 | 9% | 3 Jan → | ||
| 13–10 | -0.06 | 13% | 25 Dec → | ||
| 7–13 | -0.02 | 15% | 28 Nov → | ||
| 7–13 | -0.06 | 13% | 29 Oct → |
Match data via Leetify.