EzPz — CS2 Stats
76561198365821681[U:1:405555953]
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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
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 NiKo 78% 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
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 48% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 625ms 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 4.0/10 (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 |
|---|---|---|---|---|---|
| office | C | 20 | 7–13 | 35% | -0.01 |
| C | 19 | 7–12 | 37% | 0.00 | |
| A | 11 | 6–5 | 55% | 0.02 | |
| B | 10 | 5–5 | 50% | 0.02 | |
| C | 10 | 4–6 | 40% | -0.03 | |
| B | 8 | 4–4 | 50% | -0.04 | |
| A | 7 | 4–3 | 57% | 0.02 | |
| C | 5 | 2–3 | 40% | -0.02 | |
| — | 3 | 0–3 | 0% | -0.05 | |
| grail | — | 3 | 2–1 | 67% | -0.03 |
| — | 1 | 0–1 | 0% | -0.04 | |
| agency | — | 1 | 0–1 | 0% | -0.05 |
| jura | — | 1 | 0–1 | 0% | -0.04 |
| — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 1 | 0% | 0.27 | 4.0 |
| Anubis | 1 | 100% | 0.88 | 14.0 |
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 0.4154 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 22.3002% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.04 | 16% | 15 Aug → | ||
| 8–13 | -0.00 | 8% | 15 Aug → | ||
| 2–0 | -0.00 | 0% | 15 Aug → | ||
| 13–16 | -0.05 | 13% | 12 Jul → | ||
| 0–13 | -0.10 | 38% | 14 Dec → | ||
| office | 2–13 | -0.04 | 17% | 22 Aug → | |
| office | 6–13 | -0.01 | 29% | 22 Aug → | |
| 16–14 | 0.00 | 18% | 17 Aug → | ||
| office | 9–13 | 0.00 | 12% | 16 Aug → | |
| 6–10 | -0.04 | 19% | 16 Aug → | ||
| 1–13 | -0.06 | 31% | 16 Aug → | ||
| 4–13 | 0.02 | 9% | 7 Aug → | ||
| agency | 11–13 | -0.05 | 26% | 7 Aug → | |
| office | 12–12 | 0.02 | 13% | 7 Aug → | |
| office | 7–13 | -0.08 | 17% | 7 Aug → | |
| 4–13 | 0.04 | 67% | 2 Aug → | ||
| 13–9 | -0.00 | 8% | 2 Aug → | ||
| 5–13 | 0.00 | 19% | 2 Aug → | ||
| office | 13–5 | 0.10 | 13% | 2 Aug → | |
| 13–7 | 0.05 | 17% | 2 Aug → | ||
| 4–13 | -0.06 | 21% | 2 Aug → | ||
| jura | 6–13 | -0.04 | 23% | 31 Jul → | |
| 10–13 | 0.05 | 15% | 30 Jul → | ||
| 5–10 | -0.02 | 20% | 29 Jul → | ||
| 8–13 | 0.03 | 8% | 27 Jul → | ||
| 13–8 | 0.06 | 13% | 26 Jul → | ||
| 5–13 | -0.07 | 22% | 26 Jul → | ||
| 5–13 | 0.00 | 12% | 26 Jul → | ||
| 4–13 | -0.04 | 32% | 26 Jul → | ||
| 13–8 | 0.13 | 13% | 26 Jul → | ||
| 13–8 | 0.06 | 15% | 26 Jul → | ||
| 13–8 | 0.15 | 9% | 26 Jul → | ||
| office | 8–13 | -0.00 | 22% | 26 Jul → | |
| office | 13–10 | -0.01 | 14% | 25 Jul → | |
| office | 13–9 | 0.01 | 11% | 25 Jul → | |
| 13–10 | 0.00 | 17% | 25 Jul → | ||
| 4–13 | 0.02 | 11% | 24 Jul → | ||
| 12–12 | 0.06 | 13% | 24 Jul → | ||
| 12–12 | 0.10 | 15% | 24 Jul → | ||
| 13–8 | 0.09 | 6% | 24 Jul → | ||
| 13–11 | 0.04 | 8% | 24 Jul → | ||
| 3–13 | -0.08 | 11% | 24 Jul → | ||
| 12–12 | 0.02 | 27% | 20 Jul → | ||
| 5–13 | -0.04 | 7% | 20 Jul → | ||
| grail | 13–11 | -0.10 | 4% | 20 Jul → | |
| office | 10–13 | -0.01 | 19% | 20 Jul → | |
| 12–12 | 0.10 | 20% | 19 Jul → | ||
| 13–5 | 0.04 | 14% | 19 Jul → | ||
| office | 13–9 | 0.03 | 16% | 18 Jul → | |
| 7–13 | 0.03 | 16% | 18 Jul → | ||
| 3–13 | 0.02 | 13% | 18 Jul → | ||
| 12–0 | 0.08 | 8% | 16 Jul → | ||
| office | 13–8 | 0.07 | 13% | 15 Jul → | |
| 13–6 | 0.02 | 11% | 15 Jul → | ||
| 2–13 | -0.04 | 14% | 14 Jul → | ||
| 13–8 | -0.01 | 15% | 14 Jul → | ||
| 13–9 | 0.02 | 12% | 14 Jul → | ||
| 13–6 | 0.07 | 8% | 12 Jul → | ||
| grail | 7–13 | -0.01 | 16% | 9 Jul → | |
| office | 4–9 | -0.05 | 13% | 15 Jun → | |
| office | 0–6 | -0.13 | 0% | 1 Jun → | |
| office | 3–13 | -0.12 | 50% | 26 May → | |
| office | 6–7 | 0.08 | 23% | 24 May → | |
| office | 13–7 | 0.05 | 17% | 24 May → | |
| office | 7–13 | -0.04 | 19% | 8 May → | |
| grail | 13–6 | 0.03 | 11% | 8 May → | |
| 11–13 | -0.08 | 21% | 25 Apr → | ||
| 13–6 | -0.08 | 0% | 25 Apr → | ||
| 6–13 | -0.07 | 32% | 17 Apr → | ||
| 13–11 | -0.01 | 43% | 17 Apr → | ||
| 13–3 | -0.01 | 19% | 17 Apr → | ||
| 4–6 | -0.04 | 14% | 17 Apr → | ||
| 8–13 | 0.01 | 5% | 16 Apr → | ||
| 14–16 | -0.05 | 14% | 16 Apr → | ||
| 13–9 | -0.05 | 11% | 16 Apr → | ||
| 13–3 | 0.01 | 16% | 16 Apr → | ||
| 2–13 | -0.07 | 27% | 16 Apr → | ||
| 13–5 | -0.06 | 17% | 15 Apr → | ||
| 13–11 | 0.02 | 10% | 15 Apr → | ||
| 13–7 | -0.01 | 19% | 14 Apr → | ||
| 7–13 | -0.01 | 13% | 14 Apr → | ||
| 11–13 | -0.08 | 2% | 6 Apr → | ||
| 13–11 | 0.01 | 6% | 6 Apr → | ||
| 5–13 | -0.03 | 6% | 29 Mar → | ||
| 16–14 | -0.03 | 19% | 29 Mar → | ||
| office | 13–11 | -0.00 | 11% | 29 Mar → | |
| 4–13 | -0.06 | 17% | 28 Mar → | ||
| office | 3–13 | -0.08 | 0% | 26 Mar → | |
| 4–13 | -0.06 | 25% | 26 Mar → | ||
| 10–13 | -0.07 | 4% | 26 Mar → | ||
| 16–13 | 0.00 | 12% | 25 Mar → | ||
| 10–13 | 0.00 | 10% | 25 Mar → | ||
| 13–11 | 0.04 | 16% | 23 Mar → | ||
| 13–10 | -0.04 | 10% | 23 Mar → | ||
| 13–9 | -0.02 | 17% | 23 Mar → | ||
| 3–13 | -0.06 | 13% | 21 Mar → | ||
| 9–13 | -0.04 | 11% | 20 Mar → | ||
| 9–13 | -0.04 | 11% | 20 Mar → | ||
| 15–15 | -0.01 | 10% | 16 Mar → | ||
| 0–8 | -0.08 | 11% | 15 Mar → |
Match data via Leetify.