💋Svetlana🩷💛💜🧡🩵 — CS2 Stats
76561199700357788[U:1:1740092060]
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 40.1% | 41.7% | 44.1% | 4.0% short |
| Shot accuracy | 0.0% | 8.8% | 11.4% | 11.4% short |
| Kill/death ratio | 0.86 | 0.97 | 1.03 | 0.17 short |
| Match win rate | 47.5% | 43.8% | 45.2% | above |
This profile matches the typical Purple band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Purple 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 · -0.00 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 NiKo 61% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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. 721ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 63% 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 2.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 33 | 17–16 | 52% | -0.02 |
 mirage | D | 12 | 4–8 | 33% | -0.02 |
 anubis | B | 10 | 5–5 | 50% | -0.01 |
 inferno | C | 10 | 4–6 | 40% | -0.04 |
 nuke | D | 9 | 3–6 | 33% | -0.02 |
 cache | D | 9 | 2–7 | 22% | -0.02 |
 ancient | A | 7 | 4–3 | 57% | -0.02 |
 train | A | 5 | 3–2 | 60% | -0.02 |
 overpass | — | 4 | 2–2 | 50% | -0.01 |
 vertigo | — | 1 | 0–1 | 0% | -0.04 |
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.
- 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 9.4043% — 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 721.4453ms — 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 0.4736 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 3–13 | -0.08 | 3% | 26 Aug → | |
| nuke | 13–2 | -0.05 | 13% | 26 Aug → | |
| cache | 13–16 | -0.06 | 4% | 21 Aug → | |
| anubis | 13–3 | -0.01 | 6% | 21 Aug → | |
| cache | 4–13 | -0.05 | 16% | 14 Aug → | |
| cache | 4–13 | -0.08 | 12% | 14 Aug → | |
| dust2 | 11–3 | 0.06 | 12% | 14 Aug → | |
| inferno | 13–4 | -0.05 | 11% | 14 Aug → | |
| dust2 | 13–3 | -0.00 | 10% | 14 Aug → | |
| dust2 | 13–11 | -0.07 | 6% | 7 Aug → | |
| dust2 | 16–14 | -0.01 | 7% | 6 Aug → | |
| mirage | 10–13 | -0.06 | 15% | 6 Aug → | |
| dust2 | 13–9 | -0.02 | 10% | 5 Aug → | |
| cache | 11–13 | 0.03 | 7% | 5 Aug → | |
| dust2 | 1–13 | -0.07 | 26% | 4 Aug → | |
| dust2 | 13–8 | -0.04 | 12% | 4 Aug → | |
| dust2 | 10–13 | -0.04 | 7% | 4 Aug → | |
| ancient | 8–13 | -0.07 | 15% | 30 Jul → | |
| anubis | 14–16 | -0.04 | 8% | 30 Jul → | |
| ancient | 13–8 | -0.04 | 12% | 29 Jul → | |
| overpass | 13–10 | -0.01 | 12% | 29 Jul → | |
| mirage | 13–16 | -0.02 | 6% | 28 Jul → | |
| inferno | 7–13 | -0.02 | 13% | 28 Jul → | |
| dust2 | 7–13 | -0.06 | 8% | 27 Jul → | |
| nuke | 13–8 | -0.04 | 6% | 27 Jul → | |
| ancient | 11–13 | -0.02 | 8% | 27 Jul → | |
| anubis | 4–13 | -0.06 | 17% | 27 Jul → | |
| dust2 | 13–10 | -0.03 | 6% | 26 Jul → | |
| anubis | 13–7 | -0.04 | 9% | 24 Jul → | |
| cache | 11–13 | -0.04 | 4% | 24 Jul → | |
| dust2 | 6–13 | -0.03 | 17% | 23 Jul → | |
| dust2 | 7–13 | -0.01 | 15% | 23 Jul → | |
| mirage | 5–13 | -0.05 | 10% | 18 Jul → | |
| inferno | 13–11 | -0.09 | 27% | 17 Jul → | |
| cache | 13–11 | 0.08 | 33% | 17 Jul → | |
| cache | 12–12 | 0.01 | 14% | 16 Jul → | |
| nuke | 12–12 | -0.00 | 22% | 16 Jul → | |
| ancient | 13–6 | 0.07 | 2% | 16 Jul → | |
| dust2 | 13–5 | 0.03 | 16% | 16 Jul → | |
| dust2 | 6–13 | 0.02 | 11% | 16 Jul → | |
| dust2 | 3–13 | -0.00 | 11% | 8 Jul → | |
| cache | 7–13 | -0.02 | 13% | 6 Jul → | |
| anubis | 4–13 | -0.01 | 8% | 6 Jul → | |
| dust2 | 13–3 | 0.13 | 12% | 6 Jul → | |
| mirage | 9–13 | -0.08 | 18% | 6 Jul → | |
| ancient | 13–3 | -0.01 | 13% | 23 Jun → | |
| dust2 | 13–7 | -0.01 | 18% | 23 Jun → | |
| train | 12–12 | -0.04 | 13% | 22 Jun → | |
| ancient | 12–12 | -0.02 | 4% | 7 Jun → | |
| dust2 | 13–8 | 0.01 | 8% | 7 Jun → | |
| anubis | 13–6 | 0.03 | 8% | 7 Jun → | |
| anubis | 13–3 | 0.02 | 11% | 2 Jun → | |
| anubis | 8–13 | 0.00 | 7% | 31 May → | |
| dust2 | 13–11 | -0.07 | 10% | 27 May → | |
| mirage | 13–3 | 0.10 | 20% | 25 May → | |
| inferno | 5–13 | -0.05 | 13% | 22 May → | |
| dust2 | 12–12 | -0.02 | 11% | 22 May → | |
| mirage | 13–6 | -0.00 | 5% | 22 May → | |
| train | 4–1 | -0.09 | 0% | 16 May → | |
| dust2 | 8–13 | 0.01 | 22% | 16 May → | |
| train | 2–13 | 0.02 | 12% | 16 May → | |
| dust2 | 7–13 | -0.06 | 15% | 14 May → | |
| nuke | 8–13 | -0.06 | 22% | 14 May → | |
| inferno | 4–13 | -0.06 | 4% | 14 May → | |
| cache | 13–4 | -0.06 | 10% | 11 May → | |
| dust2 | 9–13 | -0.09 | 0% | 11 May → | |
| dust2 | 13–11 | 0.04 | 14% | 10 May → | |
| dust2 | 13–3 | -0.03 | 6% | 10 May → | |
| dust2 | 9–13 | -0.05 | 6% | 30 Apr → | |
| inferno | 13–10 | 0.01 | 13% | 28 Apr → | |
| mirage | 0–13 | -0.04 | 6% | 27 Apr → | |
| nuke | 8–13 | 0.03 | 21% | 27 Apr → | |
| dust2 | 13–10 | -0.04 | 19% | 27 Apr → | |
| inferno | 2–13 | -0.08 | 7% | 26 Apr → | |
| mirage | 13–6 | -0.04 | 7% | 21 Apr → | |
| mirage | 10–13 | -0.02 | 14% | 21 Apr → | |
| dust2 | 13–11 | -0.07 | 11% | 18 Apr → | |
| mirage | 7–13 | -0.03 | 22% | 15 Apr → | |
| overpass | 10–13 | -0.06 | 12% | 9 Apr → | |
| anubis | 13–10 | 0.07 | 11% | 9 Apr → | |
| nuke | 7–13 | -0.09 | 10% | 9 Apr → | |
| nuke | 0–13 | -0.05 | 0% | 9 Apr → | |
| vertigo | 4–13 | -0.04 | 14% | 9 Apr → | |
| anubis | 12–12 | -0.03 | 5% | 5 Apr → | |
| ancient | 13–9 | -0.04 | 11% | 3 Apr → | |
| dust2 | 13–10 | -0.01 | 21% | 3 Apr → | |
| inferno | 11–13 | -0.07 | 13% | 28 Mar → | |
| dust2 | 10–13 | -0.08 | 14% | 28 Mar → | |
| inferno | 3–13 | 0.00 | 11% | 26 Mar → | |
| nuke | 13–8 | 0.06 | 16% | 26 Mar → | |
| train | 13–11 | -0.05 | 12% | 26 Mar → | |
| inferno | 13–9 | -0.03 | 18% | 18 Mar → | |
| nuke | 4–13 | -0.01 | 19% | 18 Mar → | |
| mirage | 6–13 | 0.04 | 8% | 18 Mar → | |
| dust2 | 12–12 | -0.06 | 7% | 18 Mar → | |
| mirage | 8–0 | -0.02 | 29% | 13 Mar → | |
| train | 8–0 | 0.06 | 8% | 12 Mar → | |
| overpass | 10–2 | 0.09 | 23% | 11 Mar → | |
| overpass | 10–13 | -0.06 | 8% | 11 Mar → | |
| dust2 | 4–13 | -0.05 | 26% | 5 Mar → |
Match data via Leetify.