DABANDIT — CS2 Stats
ZA76561198290127460[U:1:329861732]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 40.0% | 42.2% | 42.7% | 2.6% short |
| Shot accuracy | 17.4% | 11.9% | 10.8% | above |
| Kill/death ratio | 1.02 | 0.98 | 1.00 | above |
| Match win rate | 61.3% | 43.6% | 44.1% | above |
This profile matches the typical Level 4 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.02 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 79% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower aim profile; lower opening-duel success.
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
Reaction time. 644ms 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 5.2/10 (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 |
|---|---|---|---|---|---|
 mirage | A | 33 | 21–12 | 64% | 0.00 |
 dust2 | B | 28 | 13–15 | 46% | -0.00 |
 inferno | B | 13 | 6–7 | 46% | -0.00 |
 nuke | D | 7 | 2–5 | 29% | -0.04 |
 overpass | S | 6 | 4–2 | 67% | -0.01 |
 anubis | C | 5 | 2–3 | 40% | -0.04 |
 ancient | — | 3 | 0–3 | 0% | -0.01 |
 train | — | 3 | 2–1 | 67% | 0.03 |
| shelter | — | 1 | 1–0 | 100% | 0.02 |
 cache | — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (29% over 7). 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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 4 | 25% | 1.01 | 18.5 |
| Vertigo | 1 | 0% | 0.67 | 14.0 |
| Nuke | 1 | 0% | 0.81 | 13.0 |
| Ancient | 1 | 0% | 0.76 | 19.0 |
| Dust2 | 1 | 0% | 0.88 | 15.0 |
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.
- 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 14.8881% — below the 15% 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 22.9682% — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 4–13 | -0.08 | 15% | 13 Jul → | |
| shelter | 13–4 | 0.02 | 15% | 13 Jul → | |
| mirage | 11–13 | -0.03 | 16% | 16 Jun → | |
| mirage | 13–9 | 0.07 | 12% | 11 Jun → | |
| overpass | 13–4 | -0.01 | 21% | 11 Jun → | |
| mirage | 6–13 | -0.03 | 38% | 4 Jun → | |
| dust2 | 3–13 | -0.05 | 11% | 4 Jun → | |
| dust2 | 13–11 | -0.02 | 17% | 8 May → | |
| cache | 13–3 | -0.02 | 25% | 8 May → | |
| dust2 | 0–13 | -0.10 | 33% | 8 May → | |
| anubis | 13–16 | -0.05 | 11% | 27 Apr → | |
| nuke | 14–16 | -0.04 | 6% | 15 Apr → | |
| anubis | 11–13 | -0.06 | 11% | 15 Apr → | |
| dust2 | 13–7 | -0.06 | 4% | 15 Apr → | |
| anubis | 7–13 | -0.05 | 9% | 15 Apr → | |
| inferno | 2–13 | -0.10 | 12% | 15 Apr → | |
| mirage | 3–13 | -0.09 | 7% | 14 Apr → | |
| overpass | 13–6 | -0.01 | 18% | 14 Apr → | |
| dust2 | 9–13 | -0.03 | 15% | 14 Apr → | |
| mirage | 11–13 | -0.02 | 12% | 14 Apr → | |
| mirage | 7–13 | -0.06 | 10% | 14 Apr → | |
| nuke | 7–13 | -0.03 | 13% | 13 Apr → | |
| mirage | 13–7 | 0.04 | 25% | 13 Apr → | |
| mirage | 13–10 | 0.00 | 18% | 13 Apr → | |
| mirage | 11–13 | -0.00 | 11% | 13 Apr → | |
| dust2 | 8–13 | 0.02 | 18% | 13 Apr → | |
| mirage | 13–4 | -0.01 | 12% | 13 Apr → | |
| nuke | 13–5 | -0.04 | 12% | 12 Apr → | |
| dust2 | 13–6 | 0.02 | 16% | 12 Apr → | |
| mirage | 16–14 | 0.01 | 16% | 12 Apr → | |
| ancient | 8–13 | -0.01 | 11% | 11 Apr → | |
| mirage | 13–11 | 0.05 | 27% | 11 Apr → | |
| dust2 | 8–13 | -0.02 | 18% | 11 Apr → | |
| dust2 | 13–8 | 0.01 | 19% | 11 Apr → | |
| inferno | 13–10 | 0.06 | 22% | 11 Apr → | |
| inferno | 16–12 | 0.00 | 16% | 11 Apr → | |
| mirage | 16–14 | -0.01 | 16% | 11 Apr → | |
| overpass | 13–11 | 0.01 | 6% | 10 Apr → | |
| overpass | 13–11 | -0.02 | 10% | 10 Apr → | |
| mirage | 11–13 | 0.03 | 10% | 9 Apr → | |
| anubis | 16–13 | 0.05 | 17% | 9 Apr → | |
| dust2 | 13–6 | 0.01 | 9% | 9 Apr → | |
| overpass | 6–13 | 0.00 | 9% | 10 Mar → | |
| dust2 | 7–13 | -0.09 | 14% | 10 Mar → | |
| nuke | 10–13 | 0.02 | 16% | 10 Mar → | |
| mirage | 13–3 | 0.03 | 16% | 10 Mar → | |
| ancient | 11–13 | 0.03 | 19% | 9 Mar → | |
| inferno | 13–5 | 0.07 | 30% | 9 Mar → | |
| dust2 | 13–8 | 0.03 | 16% | 9 Mar → | |
| mirage | 13–2 | -0.04 | 5% | 9 Mar → | |
| dust2 | 13–7 | 0.09 | 20% | 9 Mar → | |
| mirage | 13–3 | 0.11 | 29% | 9 Mar → | |
| dust2 | 6–13 | -0.05 | 12% | 6 Mar → | |
| dust2 | 13–8 | 0.18 | 22% | 6 Mar → | |
| nuke | 6–13 | -0.04 | 22% | 4 Mar → | |
| mirage | 10–13 | -0.03 | 8% | 4 Mar → | |
| inferno | 9–13 | 0.03 | 20% | 4 Mar → | |
| dust2 | 14–16 | 0.01 | 18% | 4 Mar → | |
| dust2 | 13–16 | -0.05 | 17% | 4 Mar → | |
| anubis | 13–6 | -0.08 | 15% | 4 Mar → | |
| mirage | 6–13 | -0.03 | 14% | 4 Mar → | |
| ancient | 7–13 | -0.04 | 7% | 4 Mar → | |
| mirage | 13–4 | -0.02 | 8% | 4 Mar → | |
| dust2 | 13–10 | 0.04 | 18% | 4 Mar → | |
| inferno | 13–3 | -0.01 | 13% | 4 Mar → | |
| mirage | 13–10 | -0.01 | 23% | 4 Mar → | |
| inferno | 9–13 | -0.07 | 29% | 3 Mar → | |
| overpass | 8–13 | -0.03 | 17% | 3 Mar → | |
| dust2 | 10–13 | -0.04 | 14% | 3 Mar → | |
| mirage | 5–13 | -0.10 | 5% | 3 Mar → | |
| mirage | 13–9 | -0.02 | 11% | 3 Mar → | |
| mirage | 14–16 | -0.06 | 10% | 3 Mar → | |
| mirage | 13–8 | -0.01 | 22% | 2 Mar → | |
| inferno | 13–10 | 0.02 | 17% | 2 Mar → | |
| mirage | 13–10 | 0.02 | 11% | 2 Mar → | |
| dust2 | 13–8 | -0.00 | 22% | 2 Mar → | |
| inferno | 13–7 | 0.04 | 25% | 2 Mar → | |
| dust2 | 13–5 | -0.00 | 23% | 2 Mar → | |
| train | 13–10 | -0.01 | 14% | 5 Jan → | |
| mirage | 13–7 | 0.00 | 16% | 5 Jan → | |
| mirage | 13–16 | 0.03 | 19% | 5 Jan → | |
| mirage | 13–10 | 0.03 | 18% | 5 Jan → | |
| train | 7–13 | -0.06 | 29% | 4 Jan → | |
| inferno | 10–13 | 0.01 | 28% | 26 Dec → | |
| dust2 | 4–13 | -0.02 | 25% | 21 Dec → | |
| dust2 | 7–13 | -0.01 | 28% | 16 Dec → | |
| inferno | 6–13 | -0.00 | 13% | 13 Dec → | |
| dust2 | 13–11 | -0.03 | 19% | 12 Dec → | |
| inferno | 5–13 | -0.05 | 21% | 11 Dec → | |
| dust2 | 4–13 | -0.02 | 19% | 11 Dec → | |
| mirage | 13–5 | 0.05 | 20% | 11 Dec → | |
| dust2 | 11–13 | -0.01 | 20% | 11 Dec → | |
| mirage | 13–5 | 0.06 | 20% | 10 Dec → | |
| train | 13–1 | 0.16 | 24% | 9 Dec → | |
| dust2 | 10–13 | -0.01 | 15% | 8 Dec → | |
| mirage | 13–8 | 0.05 | 28% | 8 Dec → | |
| mirage | 13–2 | 0.09 | 33% | 7 Dec → | |
| dust2 | 13–4 | 0.11 | 19% | 7 Dec → | |
| inferno | 4–13 | -0.04 | 19% | 5 Dec → | |
| nuke | 13–11 | -0.04 | 12% | 5 Dec → |
Match data via Leetify.
