Leaf1needDoctor — CS2 Stats
76561198065560110[U:1:105294382]Steam profile ↗✓ No bans
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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
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerEffective flashes
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 sh1ro 94% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
Aim. Aim score of 86 — the mechanical foundation is a clear strength.
Flashes. 0.80 enemies blinded per flash — utility that consistently lands.
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 7.2/10 (Strong), 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 |
|---|---|---|---|---|---|
 inferno | B | 23 | 12–11 | 52% | 0.01 |
 dust2 | S | 22 | 15–7 | 68% | 0.01 |
 mirage | B | 12 | 6–6 | 50% | 0.00 |
 overpass | B | 12 | 6–6 | 50% | 0.00 |
 nuke | B | 11 | 5–6 | 45% | -0.01 |
 train | A | 11 | 7–4 | 64% | 0.02 |
 ancient | S | 5 | 4–1 | 80% | 0.01 |
 anubis | — | 3 | 2–1 | 67% | -0.02 |
 cache | — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 370 | 52% | 1.10 | 15.9 |
| Mirage | 335 | 52% | 1.04 | 14.5 |
| Inferno | 243 | 56% | 1.15 | 15.4 |
| Train | 185 | 60% | 1.18 | 15.4 |
| Nuke | 146 | 57% | 1.10 | 14.4 |
| Overpass | 126 | 63% | 1.19 | 16.7 |
| Ancient | 107 | 51% | 0.95 | 14.4 |
| Anubis | 73 | 44% | 0.90 | 14.4 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 10–13 | 0.02 | 16% | 20 Aug → | |
| anubis | 13–11 | -0.01 | 16% | 13 May → | |
| cache | 13–9 | -0.02 | 14% | 10 May → | |
| anubis | 13–8 | 0.00 | 20% | 4 May → | |
| dust2 | 13–9 | -0.01 | 20% | 19 Apr → | |
| inferno | 9–13 | -0.00 | 16% | 19 Apr → | |
| mirage | 13–9 | 0.00 | 26% | 3 Apr → | |
| nuke | 9–13 | -0.01 | 20% | 3 Apr → | |
| mirage | 13–16 | -0.03 | 17% | 10 Jan → | |
| mirage | 13–7 | -0.02 | 10% | 4 Jan → | |
| ancient | 14–16 | -0.04 | 10% | 30 Dec → | |
| nuke | 19–22 | -0.03 | 14% | 30 Dec → | |
| inferno | 13–10 | 0.04 | 17% | 21 Dec → | |
| overpass | 5–13 | -0.02 | 39% | 17 Dec → | |
| overpass | 16–13 | -0.01 | 10% | 15 Dec → | |
| nuke | 13–7 | 0.04 | 13% | 29 Nov → | |
| train | 9–13 | 0.00 | 12% | 28 Nov → | |
| inferno | 13–11 | 0.06 | 17% | 24 Nov → | |
| dust2 | 10–13 | -0.01 | 22% | 23 Nov → | |
| overpass | 19–22 | 0.02 | 18% | 20 Nov → | |
| train | 13–8 | 0.02 | 15% | 17 Nov → | |
| train | 4–13 | -0.00 | 36% | 16 Nov → | |
| overpass | 13–5 | 0.03 | 33% | 6 Nov → | |
| dust2 | 13–9 | 0.00 | 22% | 6 Nov → | |
| inferno | 13–7 | 0.03 | 27% | 4 Nov → | |
| inferno | 13–8 | 0.06 | 13% | 30 Oct → | |
| overpass | 13–9 | 0.00 | 15% | 21 Oct → | |
| dust2 | 13–7 | 0.07 | 13% | 28 Sept → | |
| dust2 | 3–13 | -0.04 | 28% | 22 Sept → | |
| dust2 | 11–13 | 0.01 | 30% | 18 Sept → | |
| inferno | 13–9 | -0.01 | 8% | 10 Sept → | |
| dust2 | 13–9 | 0.03 | 19% | 10 Sept → | |
| train | 13–10 | 0.04 | 17% | 10 Sept → | |
| overpass | 8–13 | -0.06 | 28% | 10 Sept → | |
| inferno | 13–7 | 0.05 | 13% | 10 Sept → | |
| mirage | 13–10 | 0.01 | 15% | 29 Aug → | |
| dust2 | 8–13 | -0.05 | 5% | 29 Aug → | |
| mirage | 13–2 | 0.06 | 19% | 28 Aug → | |
| inferno | 5–13 | 0.01 | 11% | 20 Aug → | |
| mirage | 3–13 | -0.03 | 22% | 19 Aug → | |
| inferno | 17–19 | -0.04 | 17% | 19 Aug → | |
| dust2 | 9–13 | -0.03 | 17% | 19 Aug → | |
| overpass | 8–13 | 0.01 | 14% | 16 Aug → | |
| overpass | 6–13 | -0.04 | 16% | 14 Aug → | |
| inferno | 22–19 | -0.01 | 11% | 13 Aug → | |
| overpass | 23–25 | -0.02 | 31% | 13 Aug → | |
| inferno | 11–13 | -0.00 | 19% | 11 Aug → | |
| inferno | 3–13 | -0.05 | 14% | 10 Aug → | |
| dust2 | 13–8 | 0.11 | 36% | 5 Aug → | |
| mirage | 9–13 | 0.01 | 16% | 31 Jul → | |
| dust2 | 13–5 | 0.14 | 21% | 28 Jul → | |
| overpass | 13–10 | 0.05 | 26% | 28 Jul → | |
| inferno | 4–13 | 0.02 | 30% | 28 Jul → | |
| ancient | 13–9 | 0.01 | 26% | 28 Jul → | |
| dust2 | 16–12 | -0.03 | 23% | 28 Jul → | |
| mirage | 13–16 | 0.05 | 11% | 23 Jul → | |
| overpass | 13–4 | 0.02 | 18% | 23 Jul → | |
| overpass | 19–15 | 0.04 | 19% | 16 Jul → | |
| inferno | 7–13 | 0.04 | 22% | 15 Jul → | |
| inferno | 13–4 | 0.01 | 16% | 14 Jul → | |
| dust2 | 13–10 | -0.01 | 22% | 10 Jul → | |
| train | 16–14 | 0.11 | 16% | 10 Jul → | |
| mirage | 12–16 | -0.01 | 11% | 6 Jul → | |
| train | 10–13 | 0.03 | 28% | 6 Jul → | |
| nuke | 13–8 | -0.01 | 29% | 4 Jul → | |
| dust2 | 13–7 | -0.01 | 20% | 4 Jul → | |
| inferno | 7–13 | -0.01 | 19% | 4 Jul → | |
| inferno | 5–13 | -0.06 | 26% | 29 Jun → | |
| ancient | 16–13 | 0.02 | 17% | 29 Jun → | |
| train | 22–25 | 0.02 | 29% | 28 Jun → | |
| dust2 | 8–13 | -0.04 | 11% | 23 Jun → | |
| inferno | 13–11 | 0.01 | 17% | 23 Jun → | |
| train | 13–4 | 0.01 | 4% | 23 Jun → | |
| dust2 | 13–4 | -0.02 | 29% | 19 Jun → | |
| nuke | 11–13 | 0.02 | 17% | 13 Jun → | |
| dust2 | 13–7 | 0.03 | 11% | 13 Jun → | |
| nuke | 5–13 | -0.01 | 11% | 13 Jun → | |
| nuke | 14–16 | 0.02 | 17% | 2 Jun → | |
| nuke | 13–4 | 0.03 | 15% | 1 Jun → | |
| ancient | 13–11 | 0.03 | 16% | 25 May → | |
| dust2 | 13–11 | -0.02 | 11% | 25 May → | |
| inferno | 11–13 | 0.00 | 29% | 25 May → | |
| dust2 | 13–11 | 0.04 | 24% | 24 May → | |
| nuke | 13–5 | -0.00 | 16% | 23 May → | |
| dust2 | 16–13 | 0.06 | 22% | 23 May → | |
| nuke | 13–2 | 0.00 | 0% | 21 May → | |
| anubis | 6–13 | -0.04 | 8% | 20 May → | |
| train | 13–6 | -0.01 | 21% | 20 May → | |
| mirage | 13–5 | 0.00 | 25% | 20 May → | |
| ancient | 16–14 | 0.02 | 29% | 17 May → | |
| inferno | 13–5 | 0.05 | 16% | 14 May → | |
| dust2 | 13–11 | -0.00 | 39% | 14 May → | |
| inferno | 13–8 | -0.01 | 14% | 2 May → | |
| dust2 | 11–13 | 0.03 | 22% | 26 Apr → | |
| train | 19–16 | 0.05 | 21% | 26 Apr → | |
| train | 13–11 | -0.06 | 17% | 25 Apr → | |
| inferno | 13–6 | 0.05 | 13% | 15 Apr → | |
| inferno | 10–13 | -0.03 | 13% | 20 Mar → | |
| nuke | 2–13 | -0.12 | 47% | 20 Mar → | |
| mirage | 13–7 | -0.00 | 0% | 18 Mar → |
Match data via Leetify.
