Reshade Enjoyer — CS2 Stats
76561198797956718[U:1:837690990]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 68.1% | 52.8% |
| Shot accuracy | 8.7% | 13.7% |
| Kill/death ratio | 2.31 | 1.08 |
| Match win rate | 49.1% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimer
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 sh1ro 91% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: 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
Strengths
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 38 | 20–18 | 53% | 0.02 | |
| A | 27 | 15–12 | 56% | 0.04 | |
| S | 15 | 11–4 | 73% | 0.05 | |
| S | 7 | 6–1 | 86% | 0.06 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 4 | 0–4 | 0% | 0.02 | |
| — | 3 | 0–3 | 0% | 0.01 | |
| — | 2 | 1–1 | 50% | 0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (53% over 38). Start with the 6 essential Mirage 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 164 | 53% | 1.31 | 19.6 |
| Anubis | 75 | 49% | 1.42 | 20.9 |
| Ancient | 62 | 66% | 1.35 | 20.5 |
| Dust2 | 22 | 59% | 1.20 | 18.3 |
| Nuke | 18 | 44% | 1.73 | 22.5 |
| Inferno | 16 | 50% | 1.16 | 17.9 |
| Overpass | 10 | 40% | 1.40 | 22.1 |
| Cache | 6 | 0% | 0.80 | 14.5 |
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.
- 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 0.4991 — below the 0.5 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | -0.00 | 26% | 27 Aug → | ||
| 13–8 | 0.05 | 24% | 27 Aug → | ||
| 13–11 | 0.01 | 32% | 27 Aug → | ||
| 13–8 | 0.10 | 19% | 27 Aug → | ||
| 13–4 | 0.17 | 20% | 26 Aug → | ||
| 13–10 | 0.09 | 13% | 25 Aug → | ||
| 13–6 | 0.00 | 16% | 24 Aug → | ||
| 13–9 | 0.06 | 31% | 24 Aug → | ||
| 10–13 | 0.04 | 18% | 23 Aug → | ||
| 13–10 | -0.01 | 15% | 20 Aug → | ||
| 13–5 | 0.12 | 21% | 20 Aug → | ||
| 13–5 | 0.10 | 23% | 20 Aug → | ||
| 13–11 | 0.06 | 14% | 20 Aug → | ||
| 14–16 | -0.00 | 23% | 19 Aug → | ||
| 6–13 | -0.01 | 25% | 18 Aug → | ||
| 7–13 | 0.02 | 26% | 16 Aug → | ||
| 13–10 | 0.01 | 22% | 13 Aug → | ||
| 13–5 | -0.00 | 24% | 12 Aug → | ||
| 13–10 | 0.11 | 22% | 12 Aug → | ||
| 10–13 | 0.09 | 23% | 11 Aug → | ||
| 13–10 | 0.05 | 20% | 10 Aug → | ||
| 13–9 | 0.06 | 20% | 8 Aug → | ||
| 6–4 | 0.05 | 20% | 8 Aug → | ||
| 13–11 | 0.06 | 22% | 5 Aug → | ||
| 7–13 | -0.07 | 14% | 3 Aug → | ||
| 9–13 | -0.05 | 22% | 2 Aug → | ||
| 6–13 | -0.05 | 23% | 2 Aug → | ||
| 13–0 | 0.09 | 20% | 1 Aug → | ||
| 16–12 | 0.06 | 17% | 1 Aug → | ||
| 13–11 | 0.02 | 13% | 1 Aug → | ||
| 16–13 | 0.04 | 20% | 1 Aug → | ||
| 11–13 | 0.01 | 19% | 31 Jul → | ||
| 6–13 | 0.03 | 22% | 31 Jul → | ||
| 13–8 | 0.00 | 20% | 31 Jul → | ||
| 13–3 | 0.16 | 26% | 31 Jul → | ||
| 14–16 | 0.01 | 15% | 30 Jul → | ||
| 13–3 | 0.05 | 18% | 29 Jul → | ||
| 7–13 | -0.01 | 28% | 29 Jul → | ||
| 11–0 | 0.05 | 31% | 28 Jul → | ||
| 1–9 | -0.05 | 33% | 10 Jul → | ||
| 13–1 | 0.11 | 18% | 8 Jun → | ||
| 19–17 | 0.04 | 15% | 6 Jun → | ||
| 13–6 | 0.07 | 28% | 5 Jun → | ||
| 10–7 | 0.07 | 17% | 4 Jun → | ||
| 13–6 | 0.15 | 20% | 4 Jun → | ||
| 8–13 | 0.11 | 22% | 4 Jun → | ||
| 13–11 | 0.03 | 17% | 2 Jun → | ||
| 13–11 | 0.08 | 17% | 2 Jun → | ||
| 6–13 | 0.03 | 17% | 1 Jun → | ||
| 16–13 | -0.01 | 24% | 31 May → | ||
| 8–13 | -0.01 | 24% | 31 May → | ||
| 13–1 | -0.01 | 18% | 31 May → | ||
| 5–13 | -0.00 | 31% | 30 May → | ||
| 4–13 | -0.02 | 11% | 28 May → | ||
| 13–9 | 0.09 | 20% | 26 May → | ||
| 13–7 | 0.01 | 16% | 26 May → | ||
| 3–13 | -0.05 | 25% | 25 May → | ||
| 11–13 | -0.02 | 12% | 25 May → | ||
| 13–0 | 0.07 | 22% | 25 May → | ||
| 0–13 | -0.08 | 0% | 25 May → | ||
| 13–4 | -0.01 | 12% | 24 May → | ||
| 12–12 | 0.09 | 28% | 24 May → | ||
| 13–10 | -0.01 | 25% | 23 May → | ||
| 5–13 | 0.04 | 22% | 23 May → | ||
| 6–13 | -0.04 | 17% | 22 May → | ||
| 8–13 | 0.06 | 15% | 22 May → | ||
| 16–19 | 0.03 | 18% | 19 May → | ||
| 13–16 | 0.07 | 34% | 17 May → | ||
| 6–13 | -0.02 | 15% | 17 May → | ||
| 13–1 | 0.07 | 17% | 16 May → | ||
| 11–13 | -0.00 | 14% | 15 May → | ||
| 7–13 | 0.07 | 21% | 13 May → | ||
| 13–10 | 0.02 | 18% | 11 May → | ||
| 5–13 | -0.01 | 14% | 9 May → | ||
| 13–4 | -0.01 | 12% | 7 May → | ||
| 13–7 | 0.10 | 28% | 7 May → | ||
| 12–16 | -0.02 | 18% | 5 May → | ||
| 13–10 | 0.05 | 8% | 30 Apr → | ||
| 13–16 | 0.02 | 24% | 29 Apr → | ||
| 10–13 | 0.02 | 16% | 28 Apr → | ||
| 6–13 | -0.06 | 11% | 28 Apr → | ||
| 10–13 | 0.05 | 18% | 27 Apr → | ||
| 10–13 | -0.01 | 9% | 26 Apr → | ||
| 31–29 | 0.04 | 23% | 26 Apr → | ||
| 13–8 | 0.02 | 17% | 26 Apr → | ||
| 13–16 | 0.01 | 15% | 24 Apr → | ||
| 8–13 | 0.02 | 10% | 24 Apr → | ||
| 13–9 | 0.00 | 18% | 24 Apr → | ||
| 16–13 | -0.00 | 8% | 24 Apr → | ||
| 7–13 | 0.00 | 30% | 23 Apr → | ||
| 13–16 | 0.03 | 18% | 23 Apr → | ||
| 9–13 | 0.02 | 21% | 23 Apr → | ||
| 10–13 | 0.06 | 22% | 22 Apr → | ||
| 13–8 | 0.08 | 17% | 21 Apr → | ||
| 7–13 | 0.03 | 16% | 19 Apr → | ||
| 13–7 | 0.12 | 14% | 19 Apr → | ||
| 13–10 | 0.05 | 22% | 18 Apr → | ||
| 16–12 | 0.05 | 20% | 17 Apr → | ||
| 13–11 | -0.03 | 9% | 16 Apr → | ||
| 13–7 | -0.00 | 25% | 14 Apr → |
Match data via Leetify.