hande — CS2 Stats
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · +0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Strong CT-side opener
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 93% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: 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. 70% 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 70% on CT to 47% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 555ms 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 6.8/10 (Solid), 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 | B | 42 | 19–23 | 45% | 0.02 |
 dust2 | A | 21 | 13–8 | 62% | 0.03 |
 nuke | C | 18 | 7–11 | 39% | 0.03 |
 anubis | D | 6 | 1–5 | 17% | -0.00 |
 inferno | C | 5 | 2–3 | 40% | -0.00 |
 overpass | — | 4 | 3–1 | 75% | 0.02 |
 cache | — | 2 | 0–2 | 0% | -0.03 |
 ancient | — | 2 | 0–2 | 0% | 0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 217 | 54% | 1.58 | 20.4 |
| Nuke | 86 | 48% | 1.52 | 20.7 |
| Dust2 | 76 | 64% | 1.44 | 19.3 |
| Anubis | 68 | 40% | 1.34 | 19.2 |
| Inferno | 58 | 45% | 1.47 | 19.8 |
| Overpass | 23 | 48% | 1.22 | 19.0 |
| Ancient | 20 | 40% | 1.15 | 17.7 |
| Train | 14 | 50% | 1.57 | 23.0 |
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 0.4924 — below the 0.5 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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 3–13 | -0.01 | 19% | 17 Jul → | |
| dust2 | 10–13 | 0.01 | 23% | 12 Jul → | |
| mirage | 13–4 | 0.11 | 19% | 26 Jun → | |
| mirage | 10–13 | 0.07 | 31% | 26 Jun → | |
| anubis | 9–13 | 0.06 | 18% | 25 Jun → | |
| mirage | 13–16 | -0.00 | 19% | 7 Jun → | |
| dust2 | 13–11 | 0.10 | 26% | 6 Jun → | |
| nuke | 13–11 | 0.11 | 25% | 6 Jun → | |
| nuke | 11–13 | 0.07 | 19% | 3 Jun → | |
| nuke | 13–7 | 0.06 | 27% | 25 May → | |
| mirage | 16–14 | 0.04 | 13% | 24 May → | |
| mirage | 13–9 | 0.03 | 15% | 23 May → | |
| mirage | 13–10 | 0.04 | 16% | 23 May → | |
| mirage | 13–7 | 0.09 | 18% | 18 May → | |
| dust2 | 13–11 | 0.14 | 21% | 18 May → | |
| mirage | 16–19 | 0.04 | 15% | 17 May → | |
| overpass | 13–5 | 0.04 | 19% | 15 May → | |
| dust2 | 13–10 | 0.06 | 22% | 15 May → | |
| nuke | 14–16 | 0.07 | 25% | 14 May → | |
| nuke | 6–13 | -0.01 | 21% | 13 May → | |
| dust2 | 13–11 | -0.04 | 17% | 12 May → | |
| nuke | 13–11 | -0.05 | 29% | 12 May → | |
| dust2 | 11–13 | 0.06 | 22% | 11 May → | |
| mirage | 13–4 | 0.07 | 18% | 11 May → | |
| cache | 8–13 | -0.05 | 19% | 2 May → | |
| nuke | 7–13 | 0.10 | 21% | 2 May → | |
| anubis | 4–13 | -0.00 | 11% | 1 May → | |
| mirage | 11–13 | -0.03 | 28% | 1 May → | |
| dust2 | 13–3 | 0.04 | 24% | 1 May → | |
| mirage | 8–13 | -0.13 | 9% | 1 May → | |
| mirage | 13–9 | 0.03 | 20% | 1 May → | |
| dust2 | 5–13 | 0.01 | 23% | 29 Apr → | |
| dust2 | 4–13 | -0.03 | 24% | 29 Apr → | |
| nuke | 13–2 | 0.01 | 16% | 29 Apr → | |
| mirage | 10–13 | -0.02 | 19% | 28 Apr → | |
| mirage | 13–10 | 0.03 | 21% | 27 Apr → | |
| mirage | 5–13 | -0.06 | 30% | 27 Apr → | |
| mirage | 13–5 | 0.05 | 18% | 26 Apr → | |
| dust2 | 13–8 | -0.00 | 18% | 26 Apr → | |
| ancient | 7–13 | 0.03 | 15% | 25 Apr → | |
| dust2 | 13–8 | 0.08 | 22% | 25 Apr → | |
| anubis | 4–13 | -0.08 | 10% | 25 Apr → | |
| nuke | 10–13 | -0.01 | 20% | 25 Apr → | |
| mirage | 7–13 | -0.02 | 16% | 24 Apr → | |
| overpass | 8–13 | 0.00 | 23% | 24 Apr → | |
| dust2 | 13–10 | -0.00 | 23% | 24 Apr → | |
| cache | 10–13 | -0.01 | 28% | 24 Apr → | |
| mirage | 13–10 | 0.05 | 22% | 24 Apr → | |
| dust2 | 11–13 | 0.08 | 20% | 23 Apr → | |
| mirage | 13–7 | 0.03 | 22% | 23 Apr → | |
| nuke | 11–13 | -0.02 | 24% | 23 Apr → | |
| mirage | 5–13 | 0.08 | 18% | 23 Apr → | |
| mirage | 8–13 | 0.03 | 17% | 23 Apr → | |
| mirage | 10–13 | -0.01 | 29% | 22 Apr → | |
| mirage | 16–13 | 0.01 | 15% | 22 Apr → | |
| mirage | 4–13 | -0.04 | 20% | 22 Apr → | |
| mirage | 17–19 | 0.02 | 14% | 22 Apr → | |
| nuke | 7–13 | 0.01 | 17% | 22 Apr → | |
| dust2 | 13–3 | 0.06 | 15% | 22 Apr → | |
| mirage | 13–10 | 0.09 | 13% | 22 Apr → | |
| anubis | 13–6 | 0.06 | 24% | 22 Apr → | |
| inferno | 2–13 | -0.03 | 13% | 22 Apr → | |
| mirage | 13–3 | 0.01 | 22% | 21 Apr → | |
| mirage | 8–13 | 0.04 | 14% | 21 Apr → | |
| dust2 | 11–13 | 0.01 | 18% | 21 Apr → | |
| mirage | 13–2 | 0.04 | 23% | 20 Apr → | |
| mirage | 13–9 | 0.07 | 34% | 20 Apr → | |
| inferno | 13–5 | 0.08 | 12% | 20 Apr → | |
| nuke | 3–13 | -0.04 | 23% | 20 Apr → | |
| mirage | 13–11 | -0.03 | 8% | 19 Apr → | |
| nuke | 11–13 | 0.10 | 29% | 19 Apr → | |
| inferno | 13–16 | -0.01 | 11% | 18 Apr → | |
| mirage | 14–16 | 0.11 | 13% | 18 Apr → | |
| dust2 | 13–6 | 0.05 | 11% | 18 Apr → | |
| overpass | 16–13 | -0.02 | 12% | 17 Apr → | |
| nuke | 13–4 | 0.04 | 23% | 17 Apr → | |
| inferno | 8–13 | -0.06 | 14% | 17 Apr → | |
| mirage | 10–13 | -0.02 | 22% | 17 Apr → | |
| overpass | 13–11 | 0.05 | 11% | 16 Apr → | |
| mirage | 10–13 | 0.01 | 8% | 12 Apr → | |
| mirage | 13–6 | 0.15 | 23% | 9 Apr → | |
| mirage | 7–13 | 0.03 | 23% | 9 Apr → | |
| nuke | 14–16 | 0.02 | 18% | 8 Apr → | |
| dust2 | 9–13 | -0.03 | 10% | 7 Apr → | |
| ancient | 6–13 | 0.00 | 7% | 7 Apr → | |
| nuke | 11–13 | 0.05 | 28% | 7 Apr → | |
| mirage | 6–13 | 0.04 | 29% | 7 Apr → | |
| anubis | 4–13 | -0.01 | 21% | 6 Apr → | |
| mirage | 13–5 | 0.01 | 39% | 6 Apr → | |
| mirage | 11–13 | 0.02 | 19% | 6 Apr → | |
| anubis | 9–13 | -0.03 | 10% | 6 Apr → | |
| nuke | 16–12 | 0.04 | 25% | 6 Apr → | |
| nuke | 13–5 | -0.03 | 11% | 6 Apr → | |
| mirage | 10–13 | 0.01 | 24% | 5 Apr → | |
| dust2 | 13–9 | -0.01 | 15% | 5 Apr → | |
| inferno | 13–4 | 0.02 | 13% | 5 Apr → | |
| dust2 | 13–7 | -0.01 | 13% | 4 Apr → | |
| dust2 | 13–9 | -0.02 | 9% | 4 Apr → | |
| mirage | 3–13 | -0.03 | 11% | 4 Apr → | |
| dust2 | 10–13 | 0.05 | 19% | 4 Apr → |
Match data via Leetify.