Spasaka — CS2 Stats
76561197996373528[U:1:36107800]✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 49.5% | 47.2% | 49.0% | meets |
| Shot accuracy | 14.4% | 12.3% | 13.1% | above |
| Kill/death ratio | 0.95 | 1.07 | 1.08 | 0.13 short |
| Match win rate | 36.3% | 46.3% | 46.9% | 10.6% short |
This profile matches the typical Level 9 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 9 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 · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited 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 86% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
CSDB Rating breakdown
Composite 5.4/10 (Developing), 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 |
|---|---|---|---|---|---|
| A | 30 | 17–13 | 57% | 0.02 | |
| S | 26 | 18–8 | 69% | 0.01 | |
| C | 13 | 5–8 | 38% | -0.01 | |
| A | 10 | 6–4 | 60% | -0.00 | |
| C | 9 | 4–5 | 44% | 0.00 | |
| C | 7 | 3–4 | 43% | 0.02 | |
| — | 3 | 1–2 | 33% | 0.02 | |
| — | 2 | 1–1 | 50% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno 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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 110 | 48% | 0.98 | 15.7 |
| Dust2 | 84 | 52% | 1.07 | 15.5 |
| Anubis | 62 | 47% | 0.98 | 15.1 |
| Inferno | 45 | 49% | 1.21 | 17.9 |
| Nuke | 37 | 51% | 1.10 | 15.6 |
| Ancient | 36 | 50% | 1.09 | 16.0 |
| Vertigo | 14 | 36% | 0.90 | 16.3 |
| Overpass | 11 | 73% | 1.33 | 16.7 |
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 0.4836 — 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.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.01 | 14% | 15 Aug → | ||
| 6–13 | 0.02 | 24% | 15 Aug → | ||
| 3–7 | -0.14 | 17% | 25 Jul → | ||
| 13–16 | -0.01 | 12% | 25 Jul → | ||
| 13–6 | -0.01 | 20% | 24 Jul → | ||
| 13–11 | -0.03 | 15% | 24 Jul → | ||
| 1–13 | -0.03 | 27% | 24 Jul → | ||
| 5–13 | -0.05 | 25% | 23 Jul → | ||
| 16–14 | -0.02 | 10% | 20 Jul → | ||
| 16–14 | 0.02 | 15% | 20 Jul → | ||
| 13–5 | 0.02 | 10% | 13 Jul → | ||
| 13–6 | 0.11 | 18% | 13 Jul → | ||
| 11–13 | -0.00 | 12% | 13 Jul → | ||
| 13–10 | -0.05 | 12% | 13 Jul → | ||
| 10–13 | 0.11 | 17% | 12 Jul → | ||
| 13–11 | 0.02 | 25% | 5 Jul → | ||
| 9–13 | -0.04 | 14% | 5 Jul → | ||
| 2–13 | -0.06 | 22% | 4 Jul → | ||
| 6–13 | -0.06 | 14% | 4 Jul → | ||
| 13–9 | 0.02 | 12% | 4 Jul → | ||
| 10–13 | -0.06 | 16% | 4 Jul → | ||
| 16–14 | 0.03 | 14% | 4 Jul → | ||
| 13–9 | 0.07 | 21% | 3 Jul → | ||
| 13–4 | 0.05 | 10% | 3 Jul → | ||
| 13–6 | 0.03 | 17% | 3 Jul → | ||
| 13–10 | 0.11 | 16% | 3 Jul → | ||
| 9–13 | 0.11 | 23% | 3 Jul → | ||
| 11–13 | 0.05 | 26% | 3 Jul → | ||
| 12–12 | 0.17 | 18% | 3 Jul → | ||
| 10–13 | 0.05 | 21% | 2 Jul → | ||
| 8–13 | -0.05 | 18% | 2 Jul → | ||
| 9–13 | 0.01 | 16% | 2 Jul → | ||
| 13–9 | 0.01 | 43% | 2 Jul → | ||
| 2–13 | 0.03 | 17% | 2 Jul → | ||
| 13–7 | 0.05 | 16% | 1 Jul → | ||
| 13–10 | 0.08 | 16% | 28 Jun → | ||
| 13–11 | -0.02 | 15% | 28 Jun → | ||
| 13–5 | 0.04 | 19% | 17 Jun → | ||
| 13–11 | 0.00 | 20% | 17 Jun → | ||
| 13–7 | 0.01 | 28% | 9 Jun → | ||
| 13–6 | -0.07 | 16% | 9 Jun → | ||
| 13–10 | -0.02 | 16% | 9 Jun → | ||
| 13–8 | -0.01 | 10% | 8 Jun → | ||
| 12–16 | -0.02 | 22% | 8 Jun → | ||
| 8–13 | -0.05 | 23% | 8 Jun → | ||
| 6–13 | -0.03 | 14% | 8 Jun → | ||
| 13–8 | -0.03 | 20% | 4 Jun → | ||
| 13–7 | -0.01 | 22% | 4 Jun → | ||
| 13–16 | -0.01 | 17% | 4 Jun → | ||
| 13–3 | 0.07 | 15% | 4 Jun → | ||
| 15–15 | 0.05 | 16% | 4 Jun → | ||
| 13–7 | 0.00 | 14% | 4 Jun → | ||
| 12–16 | -0.02 | 13% | 4 Jun → | ||
| 13–6 | 0.03 | 18% | 4 Jun → | ||
| 8–13 | -0.00 | 23% | 4 Jun → | ||
| 5–13 | -0.06 | 11% | 3 Jun → | ||
| 13–9 | -0.00 | 13% | 3 Jun → | ||
| 13–7 | -0.04 | 33% | 3 Jun → | ||
| 10–13 | -0.15 | 10% | 2 Jun → | ||
| 15–15 | 0.03 | 18% | 30 May → | ||
| 2–13 | -0.09 | 30% | 28 May → | ||
| 13–8 | 0.00 | 8% | 21 May → | ||
| 15–15 | 0.03 | 14% | 21 May → | ||
| 13–8 | -0.01 | 12% | 19 May → | ||
| 13–8 | 0.03 | 17% | 16 May → | ||
| 13–2 | -0.01 | 18% | 16 May → | ||
| 13–6 | 0.03 | 18% | 16 May → | ||
| 16–12 | 0.01 | 9% | 15 May → | ||
| 9–13 | -0.02 | 5% | 11 May → | ||
| 13–6 | -0.02 | 10% | 11 May → | ||
| 8–13 | 0.00 | 18% | 10 May → | ||
| 13–6 | 0.03 | 18% | 10 May → | ||
| 8–13 | 0.03 | 20% | 10 May → | ||
| 13–2 | 0.05 | 20% | 10 May → | ||
| 13–6 | -0.03 | 16% | 10 May → | ||
| 13–2 | 0.07 | 23% | 8 Apr → | ||
| 11–13 | -0.02 | 21% | 8 Apr → | ||
| 7–13 | -0.01 | 13% | 8 Apr → | ||
| 13–8 | -0.03 | 15% | 8 Apr → | ||
| 13–5 | 0.06 | 16% | 7 Apr → | ||
| 13–7 | -0.06 | 20% | 7 Apr → | ||
| 4–13 | -0.05 | 14% | 6 Apr → | ||
| 13–3 | 0.09 | 19% | 6 Apr → | ||
| 13–11 | -0.02 | 16% | 6 Apr → | ||
| 15–15 | 0.02 | 22% | 5 Apr → | ||
| 13–10 | 0.05 | 16% | 5 Apr → | ||
| 13–11 | -0.02 | 19% | 5 Apr → | ||
| 13–2 | 0.05 | 11% | 5 Apr → | ||
| 13–1 | 0.08 | 13% | 5 Apr → | ||
| 13–8 | 0.00 | 21% | 5 Apr → | ||
| 3–13 | -0.01 | 11% | 5 Apr → | ||
| 6–13 | -0.01 | 30% | 4 Apr → | ||
| 6–13 | 0.01 | 7% | 4 Apr → | ||
| 6–13 | -0.01 | 19% | 4 Apr → | ||
| 5–13 | -0.03 | 9% | 4 Apr → | ||
| 13–7 | 0.05 | 14% | 4 Apr → | ||
| 13–11 | 0.06 | 14% | 4 Apr → | ||
| 13–16 | -0.00 | 10% | 4 Apr → | ||
| 3–13 | 0.04 | 8% | 4 Apr → | ||
| 8–13 | 0.01 | 18% | 3 Apr → |
Match data via Leetify.