SirSorcerer — CS2 Stats
76561198078211074[U:1:117945346]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerLimited 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 ropz 90% playstyle similarity
Most alike: positioning profile, opening-duel success.
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 86 — 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.
Reaction time. 586ms 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 6.6/10 (Solid), 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 | 23 | 11–12 | 48% | 0.04 | |
| C | 22 | 8–14 | 36% | 0.03 | |
| B | 16 | 8–8 | 50% | 0.02 | |
| S | 9 | 7–2 | 78% | 0.03 | |
| S | 5 | 4–1 | 80% | 0.07 | |
| A | 5 | 3–2 | 60% | 0.04 | |
| — | 4 | 2–2 | 50% | 0.00 | |
| — | 4 | 2–2 | 50% | 0.03 | |
| — | 4 | 3–1 | 75% | 0.11 | |
| warden | — | 3 | 2–1 | 67% | 0.07 |
| office | — | 3 | 1–2 | 33% | 0.02 |
| alpine | — | 1 | 1–0 | 100% | 0.02 |
| — | 1 | 0–1 | 0% | 0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (36% over 22). 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.
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 0.4486 — 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.
36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.02 | 18% | 10 Aug → | ||
| 8–13 | 0.03 | 24% | 26 Jul → | ||
| 13–10 | 0.02 | 12% | 23 Jul → | ||
| 6–13 | -0.03 | 23% | 12 Jul → | ||
| 8–13 | 0.01 | 16% | 3 Jul → | ||
| 5–13 | -0.05 | 35% | 29 Jun → | ||
| 8–13 | 0.00 | 9% | 23 Jun → | ||
| 15–15 | -0.02 | 19% | 21 Jun → | ||
| 9–0 | 0.08 | 50% | 18 Jun → | ||
| 6–13 | 0.01 | 18% | 13 Jun → | ||
| 13–2 | 0.05 | 17% | 13 Jun → | ||
| 11–13 | -0.01 | 15% | 11 Jun → | ||
| 4–13 | 0.04 | 25% | 11 Jun → | ||
| 13–5 | 0.05 | 17% | 10 Jun → | ||
| 9–13 | 0.11 | 9% | 10 Jun → | ||
| 13–11 | 0.00 | 14% | 10 Jun → | ||
| 13–7 | -0.03 | 25% | 9 Jun → | ||
| 13–5 | 0.06 | 17% | 8 Jun → | ||
| 10–13 | 0.17 | 23% | 8 Jun → | ||
| 13–9 | 0.07 | 17% | 8 Jun → | ||
| 8–13 | 0.02 | 21% | 8 Jun → | ||
| 13–8 | -0.02 | 17% | 7 Jun → | ||
| warden | 13–4 | 0.12 | 10% | 7 Jun → | |
| alpine | 13–4 | 0.02 | 35% | 6 Jun → | |
| 16–12 | 0.09 | 31% | 6 Jun → | ||
| 4–13 | 0.07 | 5% | 5 Jun → | ||
| 13–6 | -0.05 | 17% | 4 Jun → | ||
| 13–6 | 0.08 | 22% | 4 Jun → | ||
| 15–15 | 0.03 | 19% | 3 Jun → | ||
| 16–13 | 0.07 | 27% | 2 Jun → | ||
| 13–10 | 0.07 | 22% | 1 Jun → | ||
| 11–13 | 0.06 | 22% | 30 May → | ||
| 8–13 | -0.04 | 27% | 30 May → | ||
| 2–13 | -0.07 | 18% | 28 May → | ||
| 13–3 | 0.03 | 9% | 27 May → | ||
| 13–7 | 0.06 | 13% | 26 May → | ||
| 12–12 | -0.04 | 20% | 25 May → | ||
| 7–13 | 0.04 | 16% | 24 May → | ||
| 13–2 | 0.07 | 15% | 24 May → | ||
| 13–2 | 0.04 | 16% | 24 May → | ||
| 13–3 | 0.18 | 11% | 21 May → | ||
| 12–12 | 0.05 | 18% | 21 May → | ||
| 11–13 | 0.04 | 14% | 20 May → | ||
| 13–1 | 0.19 | 19% | 20 May → | ||
| 9–13 | 0.05 | 11% | 20 May → | ||
| 13–7 | 0.01 | 15% | 19 May → | ||
| 13–10 | -0.04 | 7% | 15 May → | ||
| 13–11 | -0.06 | 15% | 15 May → | ||
| 13–2 | 0.17 | 20% | 13 May → | ||
| 11–13 | 0.06 | 15% | 13 May → | ||
| 13–1 | -0.03 | 14% | 12 May → | ||
| 13–4 | 0.30 | 11% | 12 May → | ||
| 10–13 | 0.02 | 12% | 11 May → | ||
| office | 11–13 | -0.02 | 15% | 10 May → | |
| 13–11 | 0.02 | 13% | 10 May → | ||
| 11–13 | 0.06 | 17% | 9 May → | ||
| 3–13 | -0.08 | 26% | 9 May → | ||
| 12–12 | 0.11 | 14% | 7 May → | ||
| 13–8 | 0.10 | 15% | 6 May → | ||
| 11–13 | -0.04 | 10% | 6 May → | ||
| 13–5 | 0.13 | 11% | 5 May → | ||
| 13–10 | 0.05 | 20% | 4 May → | ||
| 13–7 | 0.17 | 16% | 4 May → | ||
| 13–10 | 0.12 | 16% | 3 May → | ||
| 13–3 | 0.08 | 23% | 3 May → | ||
| 8–13 | -0.01 | 16% | 3 May → | ||
| 13–6 | 0.04 | 19% | 3 May → | ||
| 13–1 | 0.03 | 11% | 2 May → | ||
| 6–13 | -0.01 | 13% | 2 May → | ||
| 13–8 | 0.06 | 12% | 1 May → | ||
| 11–13 | 0.02 | 19% | 29 Apr → | ||
| 13–10 | 0.09 | 17% | 28 Apr → | ||
| office | 3–8 | 0.04 | 27% | 27 Apr → | |
| office | 13–6 | 0.04 | 12% | 26 Apr → | |
| 11–13 | 0.09 | 23% | 25 Apr → | ||
| 13–4 | 0.01 | 45% | 23 Apr → | ||
| 13–9 | 0.08 | 20% | 23 Apr → | ||
| 7–13 | -0.03 | 5% | 23 Apr → | ||
| 13–11 | -0.03 | 15% | 21 Apr → | ||
| 4–13 | -0.01 | 2% | 16 Apr → | ||
| 10–13 | -0.02 | 8% | 15 Apr → | ||
| 0–8 | -0.06 | 18% | 15 Apr → | ||
| 12–12 | 0.00 | 10% | 14 Apr → | ||
| 13–1 | 0.05 | 40% | 14 Apr → | ||
| 13–11 | 0.07 | 15% | 12 Apr → | ||
| 4–13 | 0.00 | 8% | 12 Apr → | ||
| 6–13 | 0.03 | 26% | 10 Apr → | ||
| 13–9 | 0.01 | 18% | 8 Apr → | ||
| 13–8 | -0.05 | 9% | 8 Apr → | ||
| 12–12 | 0.01 | 14% | 6 Apr → | ||
| 3–13 | 0.01 | 22% | 3 Apr → | ||
| 12–12 | 0.07 | 18% | 2 Apr → | ||
| 13–10 | 0.02 | 8% | 31 Mar → | ||
| warden | 3–13 | 0.00 | 2% | 24 Feb → | |
| warden | 13–4 | 0.09 | 19% | 23 Feb → | |
| 12–12 | 0.01 | 17% | 22 Feb → | ||
| 10–13 | -0.05 | 17% | 21 Feb → | ||
| 8–13 | 0.06 | 17% | 20 Feb → | ||
| 7–1 | 0.04 | 14% | 12 Feb → | ||
| 13–9 | 0.01 | 12% | 11 Feb → |
Match data via Leetify.