ZAPZ1T0 — CS2 Stats
76561198260672534[U:1:300406806]
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 | 57.2% | 52.8% |
| Shot accuracy | 14.4% | 13.7% |
| Kill/death ratio | 1.35 | 1.08 |
| Match win rate | 45.1% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.04 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Strong CT-side openerEffective flashesHigh utility contribution
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 85% playstyle similarity
Most alike: opening-duel success, utility contribution.
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
Strengths
Flashes. 0.78 enemies blinded per flash — utility that consistently lands.
Areas to improve
Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 41% on CT to 25% 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 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| S | 23 | 15–8 | 65% | -0.01 | |
| C | 18 | 7–11 | 39% | -0.01 | |
| S | 14 | 10–4 | 71% | 0.03 | |
| C | 12 | 5–7 | 42% | -0.01 | |
| A | 11 | 7–4 | 64% | 0.00 | |
| B | 8 | 4–4 | 50% | 0.02 | |
| C | 5 | 2–3 | 40% | -0.02 | |
| — | 3 | 3–0 | 100% | 0.03 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| fachwerk | — | 1 | 1–0 | 100% | 0.04 |
| boulder | — | 1 | 1–0 | 100% | 0.06 |
| warden | — | 1 | 0–1 | 0% | -0.11 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Nuke 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 353 | 53% | 0.96 | 14.7 |
| Nuke | 238 | 55% | 1.03 | 15.3 |
| Anubis | 227 | 52% | 1.00 | 13.7 |
| Inferno | 144 | 48% | 0.96 | 14.6 |
| Dust2 | 134 | 36% | 0.85 | 13.2 |
| Vertigo | 110 | 65% | 1.11 | 16.0 |
| Overpass | 99 | 57% | 1.03 | 16.3 |
| Train | 84 | 60% | 0.95 | 14.5 |
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 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 25.1428% — 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.
39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–13 | -0.03 | 22% | 23 Aug → | ||
| 11–13 | 0.02 | 14% | 23 Aug → | ||
| 13–10 | -0.08 | 18% | 23 Aug → | ||
| 13–10 | 0.05 | 20% | 23 Aug → | ||
| 13–2 | 0.11 | 22% | 22 Aug → | ||
| 11–13 | 0.03 | 21% | 22 Aug → | ||
| fachwerk | 13–9 | 0.04 | 14% | 22 Aug → | |
| 19–17 | 0.05 | 20% | 21 Aug → | ||
| 13–6 | -0.02 | 24% | 21 Aug → | ||
| 2–13 | -0.04 | 13% | 18 Aug → | ||
| 13–8 | -0.02 | 14% | 17 Aug → | ||
| 13–8 | -0.02 | 21% | 17 Aug → | ||
| 13–16 | -0.05 | 19% | 17 Aug → | ||
| 16–12 | -0.05 | 15% | 17 Aug → | ||
| 8–13 | -0.07 | 22% | 13 Aug → | ||
| 8–13 | -0.04 | 11% | 12 Aug → | ||
| 13–9 | -0.02 | 12% | 12 Aug → | ||
| 13–5 | 0.04 | 19% | 9 Aug → | ||
| 13–2 | 0.04 | 24% | 9 Aug → | ||
| 13–9 | -0.03 | 22% | 9 Aug → | ||
| 13–6 | 0.05 | 13% | 9 Aug → | ||
| 13–11 | 0.01 | 30% | 9 Aug → | ||
| 16–12 | -0.01 | 15% | 8 Aug → | ||
| 13–9 | 0.01 | 21% | 7 Aug → | ||
| 4–13 | -0.04 | 20% | 4 Aug → | ||
| 11–13 | 0.01 | 15% | 4 Aug → | ||
| 13–8 | 0.03 | 17% | 4 Aug → | ||
| 1–13 | -0.08 | 8% | 4 Aug → | ||
| 13–3 | 0.06 | 16% | 4 Aug → | ||
| 9–13 | -0.05 | 22% | 4 Aug → | ||
| 14–16 | 0.00 | 19% | 4 Aug → | ||
| boulder | 13–4 | 0.06 | 24% | 3 Aug → | |
| 5–13 | -0.02 | 40% | 3 Aug → | ||
| 13–2 | 0.05 | 25% | 3 Aug → | ||
| 8–13 | -0.06 | 24% | 3 Aug → | ||
| 13–7 | 0.01 | 13% | 3 Aug → | ||
| 13–8 | -0.04 | 24% | 25 Jul → | ||
| 13–10 | -0.04 | 22% | 25 Jul → | ||
| 16–14 | -0.06 | 7% | 25 Jul → | ||
| 13–7 | -0.03 | 28% | 25 Jul → | ||
| 0–13 | -0.10 | 0% | 25 Jul → | ||
| 11–13 | 0.08 | 25% | 24 Jul → | ||
| 13–7 | 0.15 | 22% | 24 Jul → | ||
| 13–6 | 0.10 | 21% | 24 Jul → | ||
| 7–13 | -0.04 | 26% | 20 Jul → | ||
| 10–13 | -0.00 | 18% | 20 Jul → | ||
| 13–10 | 0.03 | 33% | 15 Jul → | ||
| 16–13 | 0.07 | 15% | 15 Jul → | ||
| 9–13 | 0.03 | 30% | 15 Jul → | ||
| 13–4 | 0.06 | 17% | 15 Jul → | ||
| 8–13 | -0.03 | 19% | 15 Jul → | ||
| 13–10 | 0.08 | 15% | 15 Jul → | ||
| 13–11 | 0.01 | 16% | 6 Jul → | ||
| 11–13 | -0.02 | 12% | 1 Jul → | ||
| 7–13 | 0.02 | 17% | 1 Jul → | ||
| 10–13 | -0.02 | 16% | 1 Jul → | ||
| 13–0 | 0.02 | 19% | 1 Jul → | ||
| 14–16 | -0.01 | 19% | 1 Jul → | ||
| 11–13 | -0.03 | 12% | 1 Jul → | ||
| 5–13 | -0.04 | 9% | 28 Jun → | ||
| 13–5 | -0.01 | 16% | 26 Jun → | ||
| 13–7 | 0.03 | 33% | 26 Jun → | ||
| 16–19 | 0.00 | 26% | 23 Jun → | ||
| 11–13 | 0.07 | 14% | 23 Jun → | ||
| 5–13 | -0.05 | 14% | 23 Jun → | ||
| 5–13 | -0.10 | 17% | 23 Jun → | ||
| 9–13 | -0.04 | 27% | 23 Jun → | ||
| 5–13 | -0.06 | 9% | 23 Jun → | ||
| 1–13 | -0.02 | 13% | 23 Jun → | ||
| 13–5 | -0.05 | 40% | 22 Jun → | ||
| 11–13 | -0.05 | 16% | 22 Jun → | ||
| 13–9 | 0.01 | 19% | 22 Jun → | ||
| 9–13 | -0.03 | 19% | 17 Jun → | ||
| 13–10 | 0.01 | 14% | 9 Jun → | ||
| warden | 2–13 | -0.11 | 16% | 9 Jun → | |
| 10–0 | 0.01 | 36% | 9 Jun → | ||
| 13–8 | -0.04 | 16% | 4 Jun → | ||
| 13–6 | -0.01 | 15% | 4 Jun → | ||
| 20–22 | 0.02 | 11% | 4 Jun → | ||
| 16–13 | 0.02 | 16% | 4 Jun → | ||
| 13–3 | 0.09 | 8% | 4 Jun → | ||
| 13–9 | 0.04 | 19% | 3 Jun → | ||
| 13–9 | -0.01 | 19% | 3 Jun → | ||
| 16–13 | -0.00 | 16% | 21 May → | ||
| 5–13 | -0.04 | 20% | 21 May → | ||
| 10–13 | -0.00 | 23% | 21 May → | ||
| 13–7 | 0.02 | 14% | 21 May → | ||
| 13–10 | 0.06 | 23% | 21 May → | ||
| 19–15 | -0.00 | 9% | 15 May → | ||
| 8–13 | -0.03 | 15% | 6 May → | ||
| 13–10 | 0.03 | 14% | 6 May → | ||
| 14–16 | 0.03 | 18% | 2 May → | ||
| 13–8 | 0.08 | 25% | 2 May → | ||
| 13–16 | 0.01 | 16% | 2 May → | ||
| 3–13 | -0.02 | 31% | 2 May → | ||
| 22–20 | -0.01 | 23% | 2 May → | ||
| 13–10 | 0.03 | 27% | 2 May → | ||
| 13–10 | 0.06 | 22% | 1 May → | ||
| 2–13 | -0.06 | 22% | 1 May → | ||
| 13–11 | -0.07 | 8% | 1 May → |
Match data via Leetify.