C U M — CS2 Stats
76561198119036313[U:1:158770585]✓ No bans
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 | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 48.2% | 40.1% | 41.7% | above |
| Shot accuracy | 19.3% | 7.6% | 8.8% | above |
| Kill/death ratio | 1.62 | 0.92 | 0.97 | above |
| Match win rate | 35.6% | 42.2% | 43.8% | 8.2% short |
This profile matches the typical Blue band player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the 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
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerLimited utility dependence
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: positioning profile, opening-fight frequency.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 38% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 753ms 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 4.5/10 (Developing), 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 67 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 |
|---|---|---|---|---|---|
| A | 27 | 16–11 | 59% | -0.00 | |
| A | 12 | 7–5 | 58% | 0.00 | |
| A | 9 | 5–4 | 56% | 0.04 | |
| A | 7 | 4–3 | 57% | 0.02 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| C | 5 | 2–3 | 40% | -0.02 | |
| office | — | 1 | 0–1 | 0% | 0.08 |
| — | 1 | 1–0 | 100% | 0.02 |
Across the last 67 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Vertigo 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.
- 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 753.1306ms — above the 700ms mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4329 — below the 0.5 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 21.9286% — 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.00 | 38% | 22 Nov → | ||
| 13–9 | 0.01 | 24% | 17 Nov → | ||
| 10–13 | -0.08 | 18% | 17 Nov → | ||
| 11–13 | -0.06 | 21% | 17 Nov → | ||
| 13–6 | 0.02 | 26% | 17 Nov → | ||
| 13–10 | 0.02 | 14% | 16 Nov → | ||
| 13–10 | 0.00 | 25% | 16 Nov → | ||
| 12–12 | -0.01 | 16% | 16 Nov → | ||
| office | 10–13 | 0.08 | 34% | 16 Nov → | |
| 6–13 | -0.05 | 19% | 14 Nov → | ||
| 6–4 | -0.09 | 38% | 14 Nov → | ||
| 13–9 | 0.04 | 24% | 14 Nov → | ||
| 9–13 | 0.04 | 24% | 14 Nov → | ||
| 13–11 | 0.02 | 31% | 3 Nov → | ||
| 6–13 | -0.02 | 30% | 3 Nov → | ||
| 13–11 | 0.01 | 20% | 2 Nov → | ||
| 5–13 | -0.08 | 37% | 1 Nov → | ||
| 12–16 | -0.04 | 15% | 1 Nov → | ||
| 2–13 | -0.08 | 14% | 1 Nov → | ||
| 10–13 | -0.02 | 18% | 1 Nov → | ||
| 6–13 | -0.01 | 15% | 1 Nov → | ||
| 8–13 | 0.03 | 20% | 1 Nov → | ||
| 13–9 | -0.05 | 24% | 1 Nov → | ||
| 13–11 | -0.02 | 10% | 1 Nov → | ||
| 9–13 | 0.04 | 13% | 1 Nov → | ||
| 12–16 | -0.08 | 18% | 1 Nov → | ||
| 13–3 | 0.06 | 16% | 30 Oct → | ||
| 13–5 | -0.03 | 25% | 29 Oct → | ||
| 13–9 | 0.04 | 24% | 29 Oct → | ||
| 13–11 | -0.02 | 20% | 25 Oct → | ||
| 13–11 | 0.04 | 25% | 25 Oct → | ||
| 13–9 | -0.03 | 16% | 24 Oct → | ||
| 11–13 | -0.02 | 22% | 24 Oct → | ||
| 13–8 | 0.07 | 40% | 23 Oct → | ||
| 13–6 | 0.05 | 43% | 23 Oct → | ||
| 13–5 | 0.02 | 21% | 22 Oct → | ||
| 13–10 | -0.03 | 31% | 22 Oct → | ||
| 13–4 | 0.05 | 34% | 22 Oct → | ||
| 13–2 | 0.03 | 14% | 15 Oct → | ||
| 13–3 | 0.07 | 9% | 14 Oct → | ||
| 11–13 | -0.02 | 21% | 29 Sept → | ||
| 7–13 | 0.04 | 17% | 29 Sept → | ||
| 6–13 | -0.10 | 25% | 26 Sept → | ||
| 0–13 | -0.11 | 11% | 26 Sept → | ||
| 13–6 | 0.08 | 15% | 26 Sept → | ||
| 13–4 | 0.10 | 44% | 25 Sept → | ||
| 13–3 | -0.04 | 16% | 24 Sept → | ||
| 3–13 | -0.08 | 6% | 31 Dec → | ||
| 4–13 | -0.07 | 17% | 31 Dec → | ||
| 13–4 | -0.02 | 20% | 29 Dec → | ||
| 1–11 | 0.05 | 17% | 29 Dec → | ||
| 13–4 | -0.00 | 10% | 29 Dec → | ||
| 13–5 | 0.02 | 36% | 27 Dec → | ||
| 13–3 | -0.02 | 11% | 21 Oct → | ||
| 13–4 | 0.02 | 21% | 19 Oct → | ||
| 13–6 | 0.04 | 24% | 12 Oct → | ||
| 7–13 | 0.08 | 27% | 10 Oct → | ||
| 11–13 | 0.03 | 28% | 8 Oct → | ||
| 8–13 | 0.02 | 27% | 8 Oct → | ||
| 5–13 | -0.03 | 18% | 7 Oct → | ||
| 13–8 | 0.07 | 27% | 7 Oct → | ||
| 13–6 | 0.10 | 45% | 6 Oct → | ||
| 13–10 | 0.15 | 33% | 6 Oct → | ||
| 13–7 | 0.02 | 28% | 6 Oct → | ||
| 12–12 | 0.06 | 22% | 6 Oct → | ||
| 13–9 | 0.16 | 30% | 6 Oct → | ||
| 13–7 | 0.07 | 19% | 6 Oct → |
Match data via Leetify.