Hack — CS2 Stats
CA76561198302172755[U:1:341907027]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · +0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Strong CT-side openerLimited 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 s1mple 83% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; 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
CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 67% on CT to 50% 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 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 19 | 12–7 | 63% | 0.01 | |
| A | 19 | 11–8 | 58% | 0.05 | |
| S | 15 | 11–4 | 73% | 0.02 | |
| A | 13 | 8–5 | 62% | 0.07 | |
| S | 13 | 9–4 | 69% | 0.03 | |
| A | 9 | 5–4 | 56% | 0.02 | |
| B | 8 | 4–4 | 50% | 0.01 | |
| office | — | 3 | 1–2 | 33% | 0.05 |
| — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 1 | 100% | 0.75 | 12.0 |
| Vertigo | 1 | 100% | 2.00 | 28.0 |
| Ancient | 1 | 100% | 0.96 | 23.0 |
| Anubis | 1 | 0% | 0.86 | 24.0 |
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 0.2515 — below the 0.5 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.03 | 13% | 30 Aug → | ||
| 6–13 | 0.03 | 6% | 29 Aug → | ||
| 16–13 | 0.06 | 11% | 29 Aug → | ||
| 6–13 | 0.03 | 12% | 29 Aug → | ||
| 13–6 | 0.04 | 14% | 29 Aug → | ||
| 13–11 | 0.04 | 22% | 29 Aug → | ||
| 9–13 | 0.03 | 22% | 29 Aug → | ||
| 13–10 | -0.01 | 18% | 29 Aug → | ||
| 5–13 | 0.01 | 10% | 29 Aug → | ||
| 4–13 | -0.01 | 16% | 28 Aug → | ||
| 13–7 | 0.00 | 12% | 28 Aug → | ||
| 13–4 | -0.03 | 18% | 28 Aug → | ||
| 6–4 | 0.12 | 55% | 28 Aug → | ||
| 13–7 | 0.09 | 14% | 28 Aug → | ||
| 5–13 | -0.04 | 16% | 28 Aug → | ||
| 10–2 | -0.02 | 8% | 28 Aug → | ||
| 7–3 | 0.06 | 3% | 28 Aug → | ||
| 13–11 | 0.03 | 16% | 28 Aug → | ||
| 13–10 | 0.03 | 11% | 28 Aug → | ||
| 9–4 | -0.02 | 7% | 27 Aug → | ||
| 13–7 | 0.05 | 9% | 26 Aug → | ||
| 13–10 | 0.04 | 9% | 26 Aug → | ||
| 13–8 | 0.08 | 15% | 26 Aug → | ||
| 9–13 | 0.01 | 19% | 26 Aug → | ||
| 13–7 | 0.01 | 23% | 26 Aug → | ||
| 16–12 | 0.01 | 16% | 25 Aug → | ||
| 14–16 | 0.08 | 17% | 25 Aug → | ||
| 13–4 | 0.16 | 15% | 25 Aug → | ||
| 13–7 | 0.06 | 19% | 25 Aug → | ||
| 11–13 | 0.01 | 21% | 25 Aug → | ||
| 13–8 | 0.03 | 12% | 25 Aug → | ||
| 13–6 | 0.14 | 18% | 24 Aug → | ||
| 17–19 | -0.03 | 9% | 19 Aug → | ||
| 13–10 | 0.06 | 3% | 18 Aug → | ||
| 7–13 | 0.05 | 19% | 14 Aug → | ||
| 8–13 | 0.01 | 17% | 12 Aug → | ||
| 13–3 | 0.08 | 15% | 12 Aug → | ||
| 13–9 | -0.01 | 9% | 12 Aug → | ||
| 13–10 | 0.06 | 16% | 11 Aug → | ||
| 13–7 | -0.03 | 14% | 10 Aug → | ||
| 3–13 | -0.10 | 6% | 8 Aug → | ||
| 13–5 | 0.05 | 10% | 8 Aug → | ||
| 7–13 | 0.02 | 13% | 8 Aug → | ||
| 13–8 | 0.04 | 13% | 8 Aug → | ||
| 13–9 | 0.09 | 18% | 8 Aug → | ||
| 13–3 | 0.08 | 21% | 8 Aug → | ||
| 13–11 | -0.03 | 9% | 8 Aug → | ||
| 2–8 | -0.03 | 16% | 7 Aug → | ||
| 13–9 | -0.01 | 20% | 7 Aug → | ||
| 13–7 | 0.01 | 16% | 7 Aug → | ||
| office | 10–13 | -0.06 | 14% | 6 Aug → | |
| 14–16 | 0.01 | 13% | 5 Aug → | ||
| 13–9 | -0.01 | 23% | 5 Aug → | ||
| 9–13 | 0.13 | 24% | 4 Aug → | ||
| 13–4 | 0.06 | 22% | 4 Aug → | ||
| 13–2 | 0.03 | 21% | 3 Aug → | ||
| 13–11 | -0.01 | 23% | 3 Aug → | ||
| 10–13 | 0.00 | 11% | 30 Jul → | ||
| 6–13 | 0.07 | 13% | 30 Jul → | ||
| 13–4 | 0.11 | 16% | 30 Jul → | ||
| 13–6 | 0.13 | 13% | 29 Jul → | ||
| office | 11–13 | 0.03 | 9% | 27 Jul → | |
| 10–13 | 0.11 | 9% | 27 Jul → | ||
| office | 13–5 | 0.19 | 4% | 24 Jul → | |
| 11–13 | -0.02 | 10% | 20 Jul → | ||
| 4–13 | -0.03 | 24% | 19 Jul → | ||
| 11–13 | 0.09 | 18% | 19 Jul → | ||
| 13–6 | 0.12 | 25% | 19 Jul → | ||
| 8–13 | -0.00 | 18% | 18 Jul → | ||
| 7–13 | 0.05 | 16% | 18 Jul → | ||
| 13–7 | -0.04 | 15% | 18 Jul → | ||
| 13–7 | 0.11 | 15% | 17 Jul → | ||
| 16–14 | 0.05 | 14% | 17 Jul → | ||
| 13–10 | 0.07 | 23% | 17 Jul → | ||
| 13–7 | 0.00 | 43% | 17 Jul → | ||
| 13–11 | 0.06 | 21% | 16 Jul → | ||
| 13–11 | 0.07 | 14% | 15 Jul → | ||
| 6–13 | 0.03 | 31% | 14 Jul → | ||
| 12–16 | 0.01 | 13% | 13 Jul → | ||
| 13–9 | -0.00 | 8% | 13 Jul → | ||
| 11–13 | -0.01 | 10% | 13 Jul → | ||
| 13–7 | 0.03 | 5% | 12 Jul → | ||
| 11–13 | 0.05 | 7% | 12 Jul → | ||
| 5–13 | 0.01 | 7% | 12 Jul → | ||
| 4–13 | 0.01 | 40% | 11 Jul → | ||
| 13–2 | 0.02 | 23% | 11 Jul → | ||
| 3–13 | -0.02 | 13% | 10 Jul → | ||
| 13–11 | 0.05 | 21% | 9 Jul → | ||
| 13–9 | -0.09 | 15% | 6 Jul → | ||
| 13–4 | 0.08 | 14% | 6 Jul → | ||
| 13–10 | 0.00 | 8% | 6 Jul → | ||
| 13–7 | 0.15 | 11% | 5 Jul → | ||
| 14–16 | -0.07 | 9% | 5 Jul → | ||
| 13–3 | 0.06 | 16% | 2 Jul → | ||
| 13–4 | 0.01 | 22% | 2 Jul → | ||
| 11–13 | -0.00 | 4% | 26 Jun → | ||
| 1–13 | -0.11 | 5% | 26 Jun → | ||
| 13–4 | 0.03 | 4% | 26 Jun → | ||
| 9–13 | 0.11 | 5% | 25 Jun → | ||
| 13–2 | 0.05 | 5% | 25 Jun → |
Match data via Leetify.