SUPRA SHERRY — CS2 Stats
MK76561198147842665[U:1:187576937]Steam profile ↗
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), 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 | vs Level 2 |
|---|---|---|---|
| Headshot rate | 31.9% | 42.1% | 10.3% short |
| Shot accuracy | 13.9% | 12.9% | above |
| Kill/death ratio | 0.86 | 1.00 | 0.14 short |
| Match win rate | 42.2% | 42.9% | meets |
This profile matches the typical Level 2 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 2 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 · +0.02 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 60% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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. 735ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 55% 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 1.2/10 (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 |
|---|---|---|---|---|---|
 mirage | B | 15 | 8–7 | 53% | -0.01 |
 anubis | C | 14 | 6–8 | 43% | -0.03 |
 dust2 | B | 12 | 6–6 | 50% | -0.01 |
 nuke | C | 11 | 4–7 | 36% | -0.04 |
 cache | B | 10 | 5–5 | 50% | -0.06 |
 inferno | D | 10 | 3–7 | 30% | -0.02 |
 vertigo | C | 8 | 3–5 | 38% | -0.03 |
| office | D | 7 | 2–5 | 29% | -0.04 |
 ancient | C | 5 | 2–3 | 40% | 0.00 |
 train | D | 5 | 1–4 | 20% | -0.04 |
 overpass | — | 2 | 0–2 | 0% | -0.05 |
| shelter | — | 1 | 0–1 | 0% | 0.02 |
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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
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 16.7492° — 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 8.5339% — 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 735.0451ms — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 13–4 | -0.05 | 4% | 26 Aug → | |
| cache | 10–13 | -0.06 | 4% | 26 Aug → | |
| cache | 12–12 | -0.04 | 7% | 26 Aug → | |
| nuke | 7–13 | -0.10 | 3% | 19 Aug → | |
| nuke | 5–13 | 0.03 | 13% | 19 Aug → | |
| ancient | 13–4 | -0.03 | 2% | 19 Aug → | |
| anubis | 13–1 | 0.06 | 9% | 19 Aug → | |
| inferno | 13–9 | -0.06 | 17% | 12 Aug → | |
| nuke | 9–13 | -0.11 | 9% | 12 Aug → | |
| train | 11–13 | -0.05 | 5% | 12 Aug → | |
| train | 5–13 | -0.02 | 9% | 12 Aug → | |
| train | 3–13 | -0.04 | 14% | 12 Aug → | |
| mirage | 8–13 | -0.11 | 0% | 5 Aug → | |
| mirage | 11–13 | -0.12 | 0% | 5 Aug → | |
| dust2 | 13–7 | -0.04 | 10% | 5 Aug → | |
| ancient | 13–9 | -0.00 | 12% | 5 Aug → | |
| dust2 | 13–10 | -0.04 | 3% | 5 Aug → | |
| dust2 | 5–13 | -0.08 | 25% | 3 Aug → | |
| mirage | 7–13 | -0.11 | 10% | 30 Jul → | |
| mirage | 13–6 | -0.02 | 18% | 29 Jul → | |
| mirage | 13–5 | 0.02 | 10% | 29 Jul → | |
| mirage | 13–10 | 0.09 | 13% | 29 Jul → | |
| mirage | 13–3 | 0.10 | 9% | 29 Jul → | |
| vertigo | 10–13 | -0.09 | 6% | 29 Jul → | |
| vertigo | 0–10 | -0.04 | 8% | 29 Jul → | |
| vertigo | 11–13 | -0.05 | 7% | 29 Jul → | |
| vertigo | 6–13 | -0.00 | 9% | 29 Jul → | |
| ancient | 9–13 | 0.06 | 8% | 29 Jul → | |
| ancient | 6–13 | 0.01 | 2% | 28 Jul → | |
| cache | 5–13 | -0.06 | 15% | 28 Jul → | |
| nuke | 6–13 | -0.10 | 9% | 22 Jul → | |
| anubis | 13–7 | -0.02 | 13% | 22 Jul → | |
| anubis | 4–13 | -0.02 | 8% | 22 Jul → | |
| anubis | 13–3 | -0.01 | 10% | 22 Jul → | |
| mirage | 9–13 | -0.11 | 4% | 15 Jul → | |
| mirage | 13–1 | 0.05 | 11% | 15 Jul → | |
| anubis | 0–13 | -0.08 | 5% | 15 Jul → | |
| mirage | 13–9 | 0.05 | 11% | 15 Jul → | |
| dust2 | 13–11 | 0.02 | 17% | 15 Jul → | |
| nuke | 13–4 | 0.04 | 7% | 15 Jul → | |
| dust2 | 7–13 | -0.07 | 4% | 12 Jul → | |
| inferno | 9–13 | 0.13 | 15% | 11 Jul → | |
| cache | 10–13 | -0.11 | 10% | 11 Jul → | |
| shelter | 12–12 | 0.02 | 2% | 10 Jul → | |
| vertigo | 8–0 | 0.07 | 10% | 10 Jul → | |
| mirage | 10–13 | -0.04 | 9% | 10 Jul → | |
| nuke | 8–13 | -0.07 | 11% | 9 Jul → | |
| mirage | 13–5 | 0.09 | 6% | 9 Jul → | |
| nuke | 9–13 | -0.05 | 9% | 9 Jul → | |
| dust2 | 15–15 | -0.00 | 7% | 9 Jul → | |
| office | 13–11 | -0.07 | 11% | 8 Jul → | |
| office | 13–8 | 0.03 | 13% | 8 Jul → | |
| office | 6–13 | -0.01 | 10% | 8 Jul → | |
| office | 6–13 | -0.00 | 15% | 8 Jul → | |
| overpass | 3–13 | -0.04 | 4% | 1 Jul → | |
| inferno | 9–2 | 0.07 | 13% | 1 Jul → | |
| cache | 13–7 | -0.06 | 9% | 1 Jul → | |
| cache | 7–13 | -0.12 | 7% | 1 Jul → | |
| nuke | 2–13 | -0.07 | 17% | 28 Jun → | |
| inferno | 8–13 | -0.04 | 10% | 24 Jun → | |
| mirage | 7–13 | -0.06 | 14% | 24 Jun → | |
| inferno | 9–13 | -0.06 | 5% | 24 Jun → | |
| dust2 | 13–6 | 0.11 | 12% | 24 Jun → | |
| dust2 | 13–4 | 0.02 | 13% | 24 Jun → | |
| inferno | 13–4 | 0.00 | 6% | 18 Jun → | |
| train | 7–13 | -0.06 | 15% | 17 Jun → | |
| train | 13–5 | -0.01 | 12% | 17 Jun → | |
| anubis | 8–13 | -0.05 | 3% | 11 Jun → | |
| nuke | 13–9 | 0.04 | 8% | 11 Jun → | |
| mirage | 13–10 | 0.04 | 11% | 10 Jun → | |
| dust2 | 10–13 | 0.03 | 8% | 10 Jun → | |
| inferno | 6–13 | -0.06 | 5% | 6 Jun → | |
| ancient | 3–13 | -0.04 | 10% | 5 Jun → | |
| anubis | 13–5 | 0.01 | 8% | 3 Jun → | |
| vertigo | 13–10 | -0.06 | 5% | 3 Jun → | |
| vertigo | 2–9 | -0.02 | 6% | 3 Jun → | |
| vertigo | 13–2 | -0.05 | 11% | 3 Jun → | |
| inferno | 4–8 | -0.05 | 19% | 2 Jun → | |
| anubis | 5–13 | 0.03 | 12% | 1 Jun → | |
| nuke | 13–8 | 0.00 | 9% | 31 May → | |
| cache | 13–5 | -0.00 | 11% | 30 May → | |
| overpass | 0–13 | -0.06 | 0% | 30 May → | |
| nuke | 13–5 | -0.01 | 11% | 29 May → | |
| dust2 | 13–3 | 0.04 | 8% | 28 May → | |
| dust2 | 3–13 | -0.01 | 8% | 28 May → | |
| anubis | 13–10 | -0.03 | 8% | 27 May → | |
| anubis | 3–13 | -0.09 | 4% | 27 May → | |
| anubis | 3–13 | -0.08 | 3% | 27 May → | |
| anubis | 8–13 | -0.04 | 9% | 27 May → | |
| anubis | 2–13 | -0.08 | 17% | 27 May → | |
| inferno | 12–16 | -0.04 | 7% | 22 May → | |
| mirage | 7–13 | -0.08 | 9% | 22 May → | |
| inferno | 4–13 | -0.06 | 3% | 21 May → | |
| dust2 | 9–13 | -0.08 | 9% | 20 May → | |
| cache | 13–5 | -0.06 | 6% | 20 May → | |
| cache | 13–6 | -0.03 | 8% | 14 May → | |
| cache | 13–4 | -0.00 | 8% | 14 May → | |
| office | 10–13 | -0.05 | 10% | 14 May → | |
| office | 9–13 | -0.10 | 0% | 13 May → | |
| office | 12–12 | -0.08 | 12% | 13 May → |
Match data via Leetify.