zaino — CS2 Stats
76561198104396362[U:1:144130634]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.01 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 positioning profile; lower aim profile.
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
T-side openings. Opening success drops from 42% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 726ms 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 3.7/10 (Learning), 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 |
|---|---|---|---|---|---|
 dust2 | C | 28 | 11–17 | 39% | -0.01 |
 inferno | D | 18 | 3–15 | 17% | -0.06 |
 mirage | D | 12 | 3–9 | 25% | -0.03 |
 cache | C | 10 | 4–6 | 40% | -0.03 |
 nuke | A | 10 | 6–4 | 60% | -0.05 |
 vertigo | D | 7 | 2–5 | 29% | -0.04 |
 overpass | — | 4 | 2–2 | 50% | 0.02 |
 ancient | — | 3 | 2–1 | 67% | -0.04 |
 train | — | 3 | 0–3 | 0% | -0.00 |
| poseidon | — | 2 | 1–1 | 50% | -0.02 |
 anubis | — | 1 | 0–1 | 0% | -0.09 |
| dogtown | — | 1 | 1–0 | 100% | -0.11 |
| whistle | — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (17% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.2076° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.1757% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 726.1387ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 9–13 | -0.04 | 15% | 3 Jun → | |
| dust2 | 12–12 | 0.00 | 32% | 3 Jun → | |
| dust2 | 13–8 | 0.05 | 11% | 2 Jun → | |
| cache | 8–13 | -0.07 | 16% | 2 Jun → | |
| ancient | 1–13 | -0.00 | 14% | 30 May → | |
| dust2 | 2–13 | 0.02 | 18% | 30 May → | |
| inferno | 4–9 | -0.06 | 5% | 28 May → | |
| cache | 13–9 | 0.05 | 7% | 28 May → | |
| cache | 12–12 | 0.00 | 6% | 11 May → | |
| nuke | 0–13 | -0.09 | 0% | 10 May → | |
| mirage | 9–13 | -0.01 | 12% | 10 May → | |
| nuke | 13–5 | -0.02 | 8% | 10 May → | |
| cache | 13–1 | 0.01 | 17% | 10 May → | |
| dust2 | 3–13 | -0.05 | 10% | 10 May → | |
| mirage | 7–13 | -0.03 | 23% | 9 May → | |
| cache | 11–13 | -0.05 | 18% | 9 May → | |
| train | 7–13 | 0.01 | 23% | 9 May → | |
| mirage | 13–4 | -0.01 | 21% | 9 May → | |
| mirage | 2–13 | -0.11 | 18% | 9 May → | |
| cache | 13–11 | 0.02 | 14% | 7 May → | |
| cache | 6–13 | -0.08 | 16% | 7 May → | |
| mirage | 12–12 | -0.01 | 11% | 2 May → | |
| cache | 13–3 | -0.04 | 7% | 2 May → | |
| cache | 5–13 | -0.06 | 2% | 2 May → | |
| mirage | 13–9 | 0.06 | 14% | 2 May → | |
| dust2 | 10–13 | 0.03 | 18% | 2 May → | |
| mirage | 5–13 | -0.10 | 15% | 2 May → | |
| cache | 1–13 | -0.04 | 24% | 30 Apr → | |
| dust2 | 13–11 | -0.01 | 9% | 27 Apr → | |
| mirage | 11–13 | -0.05 | 16% | 27 Apr → | |
| dust2 | 3–13 | -0.12 | 6% | 26 Apr → | |
| dust2 | 4–13 | -0.10 | 12% | 26 Apr → | |
| ancient | 13–7 | -0.02 | 14% | 26 Apr → | |
| dust2 | 12–12 | -0.06 | 14% | 25 Apr → | |
| ancient | 13–4 | -0.10 | 15% | 25 Apr → | |
| anubis | 6–13 | -0.09 | 12% | 25 Apr → | |
| dust2 | 13–9 | -0.04 | 35% | 25 Apr → | |
| nuke | 9–7 | -0.13 | 13% | 23 Apr → | |
| vertigo | 9–5 | 0.00 | 7% | 23 Apr → | |
| poseidon | 7–9 | -0.08 | 17% | 22 Apr → | |
| poseidon | 9–5 | 0.05 | 32% | 22 Apr → | |
| overpass | 11–13 | 0.01 | 23% | 22 Apr → | |
| dust2 | 0–13 | -0.15 | 0% | 22 Apr → | |
| dust2 | 13–11 | 0.04 | 24% | 11 Apr → | |
| mirage | 5–13 | 0.01 | 23% | 11 Apr → | |
| mirage | 13–8 | -0.07 | 20% | 5 Apr → | |
| vertigo | 12–12 | -0.06 | 19% | 5 Apr → | |
| dust2 | 13–6 | 0.02 | 21% | 5 Apr → | |
| dust2 | 7–1 | 0.10 | 18% | 5 Apr → | |
| dust2 | 8–13 | 0.06 | 15% | 4 Apr → | |
| dust2 | 8–13 | 0.04 | 27% | 4 Apr → | |
| dust2 | 3–13 | -0.06 | 17% | 30 Nov → | |
| dust2 | 2–13 | -0.08 | 19% | 30 Nov → | |
| nuke | 9–4 | 0.05 | 19% | 30 Jul → | |
| vertigo | 8–8 | -0.03 | 25% | 30 Jul → | |
| nuke | 9–7 | -0.14 | 8% | 30 Jul → | |
| vertigo | 8–8 | -0.01 | 17% | 30 Jul → | |
| inferno | 7–9 | -0.06 | 10% | 30 Jul → | |
| inferno | 4–9 | -0.07 | 7% | 30 Jul → | |
| mirage | 4–13 | -0.04 | 22% | 26 Jul → | |
| nuke | 9–5 | 0.06 | 9% | 9 Jun → | |
| overpass | 9–5 | 0.07 | 23% | 9 Jun → | |
| nuke | 2–9 | -0.22 | 14% | 9 Jun → | |
| dust2 | 7–13 | -0.01 | 15% | 4 Jun → | |
| dust2 | 6–13 | -0.06 | 17% | 4 Jun → | |
| nuke | 9–13 | -0.01 | 17% | 3 Jun → | |
| dust2 | 13–7 | 0.07 | 15% | 31 May → | |
| dust2 | 2–13 | -0.03 | 25% | 24 May → | |
| dust2 | 2–13 | 0.02 | 18% | 24 May → | |
| dust2 | 13–10 | 0.05 | 22% | 24 May → | |
| inferno | 0–9 | -0.26 | 0% | 24 May → | |
| inferno | 8–13 | -0.00 | 10% | 23 May → | |
| inferno | 9–3 | 0.10 | 19% | 23 May → | |
| inferno | 1–9 | -0.23 | 19% | 22 May → | |
| inferno | 4–9 | -0.06 | 16% | 22 May → | |
| dust2 | 13–4 | 0.05 | 11% | 22 May → | |
| train | 12–12 | 0.02 | 16% | 21 May → | |
| nuke | 9–4 | 0.07 | 18% | 21 May → | |
| train | 6–13 | -0.04 | 20% | 21 May → | |
| inferno | 6–9 | -0.00 | 14% | 20 May → | |
| nuke | 6–9 | -0.01 | 35% | 20 May → | |
| inferno | 8–8 | 0.17 | 19% | 19 May → | |
| inferno | 2–9 | -0.03 | 19% | 19 May → | |
| dogtown | 9–7 | -0.11 | 24% | 19 May → | |
| vertigo | 7–13 | -0.04 | 13% | 18 May → | |
| dust2 | 13–2 | 0.02 | 15% | 18 May → | |
| overpass | 6–9 | -0.07 | 13% | 18 May → | |
| overpass | 9–6 | 0.09 | 12% | 18 May → | |
| inferno | 9–5 | -0.06 | 0% | 18 May → | |
| inferno | 7–9 | -0.01 | 23% | 18 May → | |
| inferno | 6–13 | -0.08 | 24% | 17 May → | |
| dust2 | 13–4 | 0.02 | 8% | 17 May → | |
| inferno | 4–9 | -0.09 | 8% | 3 Apr → | |
| inferno | 0–9 | -0.22 | 5% | 3 Apr → | |
| vertigo | 9–5 | -0.05 | 15% | 3 Apr → | |
| inferno | 6–9 | -0.11 | 21% | 3 Apr → | |
| whistle | 9–5 | -0.02 | 8% | 3 Apr → | |
| inferno | 9–6 | -0.02 | 28% | 2 Apr → | |
| dust2 | 9–13 | -0.01 | 31% | 2 Apr → | |
| vertigo | 4–13 | -0.12 | 4% | 23 Mar → |
Match data via Leetify.