antishlag — CS2 Stats
76561198177478593[U:1:217212865]Steam profile ↗✓ 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 | 47.6% | 52.8% |
| Shot accuracy | 12.6% | 13.7% |
| Kill/death ratio | 0.80 | 1.08 |
| Match win rate | 45.9% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 92% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: higher opening-fight frequency.
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 87 — 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.
T-side openings. Opening success drops from 60% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
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 (×1.05 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 |
|---|---|---|---|---|---|
| C | 33 | 13–20 | 39% | 0.00 | |
| S | 33 | 22–11 | 67% | 0.04 | |
| A | 14 | 9–5 | 64% | 0.01 | |
| S | 10 | 7–3 | 70% | 0.03 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| — | 2 | 1–1 | 50% | 0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (39% over 33). Start with the 6 essential Dust 2 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 64 | 70% | 1.31 | 18.7 |
| Dust2 | 51 | 55% | 1.51 | 17.5 |
| Ancient | 19 | 47% | 1.06 | 16.3 |
| Anubis | 15 | 40% | 1.32 | 17.7 |
| Cache | 2 | 100% | 0.98 | 19.0 |
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 0.3779 — 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.
39% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.03 | 21% | 28 Aug → | ||
| 14–16 | -0.07 | 8% | 22 Aug → | ||
| 13–6 | 0.00 | 26% | 22 Aug → | ||
| 0–13 | -0.10 | 55% | 22 Aug → | ||
| 8–13 | 0.06 | 26% | 18 Aug → | ||
| 13–9 | -0.01 | 19% | 17 Aug → | ||
| 13–8 | 0.08 | 18% | 16 Aug → | ||
| 13–10 | 0.04 | 31% | 16 Aug → | ||
| 5–13 | -0.00 | 29% | 16 Aug → | ||
| 13–8 | -0.01 | 23% | 8 Aug → | ||
| 13–6 | 0.07 | 23% | 8 Aug → | ||
| 13–8 | -0.03 | 8% | 8 Aug → | ||
| 13–3 | 0.03 | 30% | 8 Aug → | ||
| 6–13 | -0.12 | 0% | 7 Aug → | ||
| 13–8 | 0.06 | 28% | 6 Aug → | ||
| 3–13 | -0.02 | 29% | 6 Aug → | ||
| 13–3 | -0.00 | 21% | 6 Aug → | ||
| 16–13 | -0.01 | 16% | 4 Aug → | ||
| 13–7 | 0.07 | 23% | 4 Aug → | ||
| 13–3 | 0.13 | 37% | 4 Aug → | ||
| 6–13 | 0.04 | 21% | 4 Aug → | ||
| 5–13 | -0.01 | 16% | 3 Aug → | ||
| 19–16 | 0.07 | 9% | 1 Aug → | ||
| 7–13 | 0.00 | 33% | 1 Aug → | ||
| 13–11 | 0.05 | 32% | 29 Jul → | ||
| 6–13 | -0.02 | 18% | 29 Jul → | ||
| 13–11 | 0.03 | 20% | 29 Jul → | ||
| 13–6 | 0.09 | 20% | 29 Jul → | ||
| 13–2 | 0.07 | 21% | 29 Jul → | ||
| 1–13 | -0.02 | 23% | 27 Jul → | ||
| 13–11 | 0.04 | 20% | 27 Jul → | ||
| 0–4 | -0.05 | 0% | 27 Jul → | ||
| 13–10 | 0.07 | 21% | 27 Jul → | ||
| 3–13 | -0.07 | 11% | 27 Jul → | ||
| 0–13 | -0.03 | 8% | 25 Jul → | ||
| 13–8 | 0.02 | 25% | 24 Jul → | ||
| 6–13 | -0.02 | 33% | 24 Jul → | ||
| 13–9 | 0.05 | 28% | 24 Jul → | ||
| 13–10 | 0.07 | 21% | 22 Jul → | ||
| 13–6 | -0.01 | 38% | 22 Jul → | ||
| 0–13 | -0.08 | 0% | 22 Jul → | ||
| 8–13 | 0.07 | 28% | 21 Jul → | ||
| 0–13 | -0.08 | 25% | 21 Jul → | ||
| 13–10 | 0.00 | 33% | 21 Jul → | ||
| 13–8 | 0.09 | 19% | 19 Jul → | ||
| 1–13 | -0.05 | 45% | 19 Jul → | ||
| 13–11 | 0.04 | 17% | 18 Jul → | ||
| 13–2 | -0.01 | 15% | 18 Jul → | ||
| 13–3 | 0.08 | 27% | 18 Jul → | ||
| 13–7 | 0.04 | 26% | 18 Jul → | ||
| 8–5 | 0.02 | 37% | 18 Jul → | ||
| 0–13 | -0.01 | 100% | 17 Jul → | ||
| 13–2 | 0.01 | 9% | 17 Jul → | ||
| 2–13 | -0.05 | 21% | 15 Jul → | ||
| 7–13 | -0.01 | 13% | 15 Jul → | ||
| 14–16 | 0.01 | 33% | 13 Jul → | ||
| 1–13 | -0.03 | 33% | 13 Jul → | ||
| 13–5 | 0.06 | 29% | 13 Jul → | ||
| 7–13 | 0.01 | 45% | 13 Jul → | ||
| 13–0 | -0.05 | 32% | 13 Jul → | ||
| 0–13 | -0.05 | 100% | 13 Jul → | ||
| 7–13 | -0.03 | 21% | 13 Jul → | ||
| 13–0 | -0.01 | 50% | 12 Jul → | ||
| 1–13 | 0.04 | 0% | 12 Jul → | ||
| 13–4 | 0.11 | 38% | 12 Jul → | ||
| 6–13 | 0.01 | 28% | 12 Jul → | ||
| 15–15 | 0.02 | 17% | 12 Jul → | ||
| 13–1 | -0.04 | 36% | 12 Jul → | ||
| 13–2 | 0.12 | 50% | 12 Jul → | ||
| 13–1 | 0.00 | 8% | 12 Jul → | ||
| 6–13 | -0.05 | 22% | 12 Jul → | ||
| 13–9 | 0.01 | 23% | 11 Jul → | ||
| 16–14 | -0.04 | 12% | 11 Jul → | ||
| 13–10 | 0.07 | 28% | 11 Jul → | ||
| 13–7 | 0.07 | 39% | 11 Jul → | ||
| 9–13 | 0.10 | 39% | 11 Jul → | ||
| 13–5 | 0.03 | 35% | 11 Jul → | ||
| 13–4 | 0.08 | 25% | 11 Jul → | ||
| 13–9 | 0.04 | 25% | 11 Jul → | ||
| 11–13 | 0.12 | 45% | 7 Jul → | ||
| 13–2 | -0.02 | 29% | 7 Jul → | ||
| 7–13 | 0.01 | 17% | 7 Jul → | ||
| 10–13 | 0.00 | 9% | 7 Jul → | ||
| 10–13 | 0.07 | 23% | 5 Jul → | ||
| 13–6 | 0.03 | 29% | 5 Jul → | ||
| 7–13 | 0.07 | 17% | 5 Jul → | ||
| 5–13 | -0.02 | 42% | 5 Jul → | ||
| 15–15 | 0.02 | 30% | 5 Jul → | ||
| 15–15 | 0.07 | 33% | 5 Jul → | ||
| 11–13 | -0.01 | 20% | 5 Jul → | ||
| 14–16 | -0.03 | 22% | 5 Jul → | ||
| 13–7 | 0.12 | 22% | 3 Jul → | ||
| 13–10 | 0.03 | 18% | 3 Jul → | ||
| 13–5 | 0.06 | 17% | 3 Jul → | ||
| 8–13 | 0.03 | 34% | 3 Jul → | ||
| 13–9 | -0.00 | 24% | 3 Jul → | ||
| 5–13 | -0.04 | 23% | 3 Jul → | ||
| 13–10 | 0.06 | 33% | 3 Jul → | ||
| 13–3 | 0.04 | 18% | 3 Jul → | ||
| 13–3 | 0.13 | 18% | 3 Jul → |
Match data via Leetify.