S11me — CS2 Stats
76561199015767929[U:1:1055502201]Steam profile ↗
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | vs Light Blue band |
|---|---|---|---|
| Headshot rate | 34.2% | 40.1% | 5.9% short |
| Shot accuracy | 0.1% | 7.6% | 7.5% short |
| Kill/death ratio | 0.73 | 0.92 | 0.19 short |
| Match win rate | 42.6% | 42.2% | meets |
This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. 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: +20pp win rate · -0.03 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 76% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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. 727ms 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 3.2/10 (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 | 24 | 12–12 | 50% | -0.03 | |
| B | 23 | 11–12 | 48% | -0.01 | |
| S | 15 | 11–4 | 73% | -0.02 | |
| D | 9 | 1–8 | 11% | -0.05 | |
| C | 8 | 3–5 | 38% | -0.05 | |
| C | 8 | 3–5 | 38% | -0.05 | |
| D | 6 | 2–4 | 33% | -0.03 | |
| D | 6 | 2–4 | 33% | -0.03 | |
| office | — | 1 | 0–1 | 0% | -0.09 |
Across the last 100 tracked matches.
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 12.7419° — 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 10.5223% — 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 726.6617ms — 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.
11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–13 | -0.04 | 4% | 28 Aug → | ||
| 13–11 | -0.04 | 12% | 28 Aug → | ||
| 9–7 | 0.09 | 19% | 28 Aug → | ||
| 6–13 | -0.06 | 7% | 26 Aug → | ||
| 13–7 | -0.00 | 2% | 25 Aug → | ||
| 13–16 | -0.06 | 11% | 23 Aug → | ||
| 13–9 | -0.02 | 15% | 23 Aug → | ||
| 13–9 | -0.06 | 18% | 23 Aug → | ||
| 2–9 | -0.25 | 6% | 22 Aug → | ||
| 13–9 | -0.03 | 5% | 3 Aug → | ||
| 8–13 | -0.03 | 7% | 31 Jul → | ||
| 13–7 | 0.04 | 11% | 31 Jul → | ||
| 2–7 | -0.05 | 6% | 31 Jul → | ||
| 14–16 | -0.01 | 19% | 26 Jul → | ||
| 13–4 | -0.01 | 6% | 13 Jul → | ||
| 11–13 | -0.04 | 10% | 12 Jul → | ||
| 13–5 | 0.02 | 15% | 12 Jul → | ||
| 3–10 | -0.01 | 9% | 12 Jul → | ||
| 13–3 | 0.05 | 19% | 12 Jul → | ||
| 6–13 | -0.10 | 8% | 12 Jul → | ||
| 2–13 | -0.07 | 3% | 12 Jul → | ||
| 9–13 | -0.02 | 14% | 11 Jul → | ||
| 15–15 | -0.09 | 6% | 11 Jul → | ||
| 8–13 | -0.03 | 7% | 11 Jul → | ||
| 0–13 | -0.04 | 11% | 11 Jul → | ||
| 7–13 | -0.05 | 16% | 11 Jul → | ||
| 13–10 | -0.03 | 7% | 11 Jul → | ||
| 13–5 | 0.05 | 22% | 11 Jul → | ||
| 6–13 | -0.05 | 8% | 11 Jul → | ||
| 4–13 | -0.09 | 6% | 11 Jul → | ||
| 10–13 | -0.08 | 14% | 11 Jul → | ||
| 13–9 | -0.02 | 11% | 10 Jul → | ||
| 13–11 | -0.04 | 17% | 10 Jul → | ||
| 13–8 | 0.07 | 12% | 9 Jul → | ||
| 13–7 | -0.01 | 13% | 9 Jul → | ||
| 3–13 | -0.08 | 7% | 9 Jul → | ||
| 5–13 | -0.10 | 6% | 9 Jul → | ||
| 15–15 | -0.03 | 12% | 9 Jul → | ||
| office | 5–13 | -0.09 | 7% | 9 Jul → | |
| 13–7 | -0.07 | 9% | 9 Jul → | ||
| 5–13 | -0.07 | 7% | 8 Jul → | ||
| 13–5 | -0.02 | 5% | 8 Jul → | ||
| 1–7 | -0.05 | 17% | 6 Jul → | ||
| 2–13 | -0.08 | 9% | 6 Jul → | ||
| 11–13 | -0.00 | 7% | 5 Jul → | ||
| 16–13 | -0.02 | 13% | 5 Jul → | ||
| 9–13 | 0.01 | 11% | 5 Jul → | ||
| 1–13 | 0.00 | 0% | 5 Jul → | ||
| 13–5 | 0.01 | 7% | 4 Jul → | ||
| 13–9 | -0.08 | 6% | 4 Jul → | ||
| 16–12 | -0.01 | 5% | 4 Jul → | ||
| 16–12 | 0.06 | 13% | 4 Jul → | ||
| 13–10 | -0.09 | 4% | 4 Jul → | ||
| 1–13 | -0.06 | 9% | 4 Jul → | ||
| 13–6 | -0.01 | 12% | 4 Jul → | ||
| 10–13 | 0.03 | 5% | 4 Jul → | ||
| 6–13 | 0.01 | 11% | 3 Jul → | ||
| 13–1 | 0.04 | 6% | 3 Jul → | ||
| 16–14 | -0.07 | 2% | 3 Jul → | ||
| 9–13 | 0.09 | 5% | 3 Jul → | ||
| 4–13 | -0.01 | 9% | 2 Jul → | ||
| 11–13 | -0.05 | 17% | 2 Jul → | ||
| 2–13 | -0.07 | 7% | 1 Jul → | ||
| 7–13 | -0.10 | 6% | 1 Jul → | ||
| 4–13 | -0.01 | 14% | 30 Jun → | ||
| 0–3 | -0.01 | 0% | 30 Jun → | ||
| 2–13 | -0.08 | 10% | 30 Jun → | ||
| 13–3 | 0.00 | 5% | 30 Jun → | ||
| 13–5 | -0.07 | 14% | 30 Jun → | ||
| 2–13 | -0.08 | 17% | 30 Jun → | ||
| 2–13 | -0.08 | 11% | 28 Jun → | ||
| 13–10 | -0.05 | 14% | 28 Jun → | ||
| 13–6 | 0.06 | 13% | 28 Jun → | ||
| 13–7 | 0.04 | 11% | 28 Jun → | ||
| 13–9 | -0.03 | 11% | 27 Jun → | ||
| 16–13 | 0.02 | 10% | 27 Jun → | ||
| 10–13 | 0.00 | 18% | 27 Jun → | ||
| 13–11 | -0.07 | 13% | 27 Jun → | ||
| 8–13 | -0.06 | 11% | 27 Jun → | ||
| 13–10 | -0.00 | 18% | 27 Jun → | ||
| 13–8 | 0.04 | 10% | 27 Jun → | ||
| 13–16 | -0.03 | 16% | 27 Jun → | ||
| 2–13 | -0.09 | 4% | 23 Jun → | ||
| 6–13 | -0.05 | 16% | 22 Jun → | ||
| 13–8 | -0.04 | 15% | 22 Jun → | ||
| 2–13 | -0.11 | 15% | 22 Jun → | ||
| 1–13 | -0.05 | 12% | 21 Jun → | ||
| 13–7 | -0.00 | 6% | 21 Jun → | ||
| 13–9 | 0.02 | 8% | 21 Jun → | ||
| 11–13 | 0.05 | 8% | 21 Jun → | ||
| 13–11 | -0.07 | 9% | 21 Jun → | ||
| 15–15 | 0.11 | 13% | 20 Jun → | ||
| 13–8 | -0.01 | 12% | 20 Jun → | ||
| 12–16 | -0.02 | 19% | 20 Jun → | ||
| 11–13 | 0.01 | 14% | 20 Jun → | ||
| 1–13 | -0.11 | 6% | 19 Jun → | ||
| 13–8 | -0.01 | 8% | 19 Jun → | ||
| 13–5 | 0.01 | 10% | 19 Jun → | ||
| 13–11 | 0.01 | 13% | 19 Jun → | ||
| 3–13 | -0.06 | 13% | 17 Jun → |
Match data via Leetify.