attaboy — CS2 Stats
76561198142390872[U:1:182125144]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective 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 b1t 93% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: 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. 0.79 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 614ms 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 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
 anubis | A | 32 | 19–13 | 59% | 0.01 |
 overpass | B | 19 | 10–9 | 53% | 0.00 |
 inferno | C | 12 | 5–7 | 42% | 0.07 |
 vertigo | B | 10 | 5–5 | 50% | -0.01 |
 dust2 | C | 9 | 4–5 | 44% | 0.01 |
 ancient | S | 6 | 4–2 | 67% | 0.03 |
 train | A | 5 | 3–2 | 60% | 0.02 |
 mirage | — | 3 | 1–2 | 33% | 0.05 |
 cache | — | 2 | 2–0 | 100% | 0.04 |
 nuke | — | 2 | 1–1 | 50% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 351 | 63% | 1.15 | 16.2 |
| Dust2 | 250 | 54% | 1.06 | 16.4 |
| Inferno | 197 | 67% | 1.13 | 17.3 |
| Overpass | 123 | 50% | 1.13 | 15.9 |
| Vertigo | 99 | 55% | 1.17 | 16.7 |
| Ancient | 62 | 37% | 1.02 | 15.4 |
| Train | 57 | 56% | 1.05 | 14.7 |
| Nuke | 24 | 38% | 0.78 | 13.7 |
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 36.0388% — 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.
42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–3 | 0.02 | 31% | 19 Jul → | |
| anubis | 13–11 | 0.03 | 42% | 17 Jul → | |
| anubis | 13–9 | 0.08 | 30% | 16 Jul → | |
| anubis | 13–9 | 0.08 | 44% | 13 Jul → | |
| inferno | 8–13 | 0.04 | 27% | 3 Jun → | |
| cache | 13–5 | 0.06 | 25% | 30 Apr → | |
| inferno | 8–8 | 0.08 | 35% | 7 Mar → | |
| inferno | 9–2 | 0.31 | 50% | 7 Mar → | |
| inferno | 11–13 | 0.04 | 34% | 23 Feb → | |
| inferno | 10–13 | 0.00 | 31% | 21 Feb → | |
| mirage | 14–16 | 0.11 | 29% | 18 Dec → | |
| dust2 | 11–6 | 0.01 | 42% | 18 Dec → | |
| dust2 | 5–13 | 0.08 | 21% | 15 Dec → | |
| dust2 | 5–13 | 0.01 | 23% | 11 Dec → | |
| train | 8–13 | 0.05 | 34% | 4 Dec → | |
| inferno | 15–15 | 0.02 | 34% | 2 Dec → | |
| inferno | 13–11 | 0.08 | 24% | 2 Dec → | |
| dust2 | 13–11 | -0.01 | 19% | 24 Nov → | |
| train | 13–8 | 0.01 | 31% | 5 Nov → | |
| train | 13–0 | 0.08 | 43% | 5 Nov → | |
| ancient | 11–13 | -0.03 | 22% | 30 Oct → | |
| dust2 | 13–6 | 0.01 | 45% | 30 Oct → | |
| overpass | 9–13 | -0.04 | 18% | 18 Sept → | |
| overpass | 4–13 | -0.06 | 18% | 14 Sept → | |
| nuke | 8–13 | -0.07 | 24% | 14 Sept → | |
| overpass | 13–1 | 0.10 | 39% | 18 Aug → | |
| mirage | 7–13 | -0.02 | 19% | 17 Aug → | |
| overpass | 7–13 | -0.00 | 33% | 8 Aug → | |
| anubis | 13–9 | -0.02 | 31% | 20 May → | |
| inferno | 13–7 | 0.06 | 21% | 9 Apr → | |
| anubis | 2–13 | -0.05 | 26% | 4 Mar → | |
| anubis | 11–13 | 0.00 | 16% | 20 Feb → | |
| train | 9–13 | -0.02 | 23% | 13 Feb → | |
| anubis | 13–1 | 0.07 | 24% | 12 Feb → | |
| anubis | 9–13 | 0.00 | 22% | 7 Jan → | |
| dust2 | 20–22 | -0.04 | 30% | 3 Dec → | |
| vertigo | 13–10 | -0.11 | 13% | 2 Dec → | |
| inferno | 13–10 | 0.03 | 33% | 27 Nov → | |
| anubis | 13–3 | 0.01 | 28% | 25 Nov → | |
| anubis | 8–13 | 0.02 | 25% | 24 Nov → | |
| inferno | 11–13 | 0.08 | 32% | 23 Nov → | |
| train | 13–5 | -0.02 | 20% | 22 Nov → | |
| nuke | 13–11 | 0.03 | 31% | 22 Nov → | |
| dust2 | 3–13 | -0.03 | 19% | 8 Nov → | |
| dust2 | 13–3 | 0.12 | 35% | 4 Nov → | |
| vertigo | 11–13 | -0.04 | 25% | 21 Oct → | |
| dust2 | 11–13 | -0.02 | 28% | 19 Oct → | |
| anubis | 16–13 | -0.02 | 19% | 18 Oct → | |
| anubis | 8–13 | -0.10 | 33% | 18 Oct → | |
| overpass | 2–9 | -0.07 | 60% | 5 Oct → | |
| vertigo | 11–13 | -0.08 | 13% | 22 Sept → | |
| anubis | 13–8 | 0.08 | 23% | 22 Sept → | |
| anubis | 8–13 | 0.03 | 17% | 11 Sept → | |
| vertigo | 13–4 | 0.01 | 32% | 16 Jul → | |
| vertigo | 9–13 | 0.02 | 15% | 1 May → | |
| ancient | 2–13 | -0.06 | 19% | 24 Apr → | |
| inferno | 14–16 | 0.01 | 27% | 11 Apr → | |
| vertigo | 5–13 | 0.01 | 19% | 9 Mar → | |
| ancient | 13–10 | 0.04 | 29% | 9 Mar → | |
| anubis | 13–4 | 0.05 | 16% | 8 Mar → | |
| anubis | 13–10 | -0.00 | 20% | 8 Mar → | |
| overpass | 1–0 | 0.00 | 0% | 7 Mar → | |
| overpass | 11–13 | 0.08 | 20% | 7 Mar → | |
| overpass | 13–5 | 0.00 | 15% | 5 Mar → | |
| overpass | 13–4 | 0.04 | 14% | 4 Mar → | |
| anubis | 11–13 | 0.01 | 15% | 4 Mar → | |
| vertigo | 10–13 | 0.01 | 26% | 3 Mar → | |
| anubis | 19–17 | 0.01 | 28% | 3 Mar → | |
| ancient | 13–7 | 0.07 | 21% | 1 Mar → | |
| overpass | 9–13 | -0.02 | 24% | 29 Feb → | |
| anubis | 11–13 | 0.05 | 21% | 29 Feb → | |
| vertigo | 13–1 | -0.01 | 10% | 29 Feb → | |
| overpass | 13–10 | -0.01 | 16% | 28 Feb → | |
| ancient | 13–7 | 0.01 | 15% | 28 Feb → | |
| anubis | 10–13 | -0.08 | 24% | 27 Feb → | |
| anubis | 19–17 | 0.00 | 24% | 26 Feb → | |
| overpass | 13–7 | 0.01 | 32% | 23 Feb → | |
| overpass | 13–8 | 0.00 | 15% | 20 Feb → | |
| overpass | 9–13 | -0.04 | 21% | 17 Feb → | |
| overpass | 6–13 | -0.01 | 10% | 15 Feb → | |
| overpass | 13–3 | 0.12 | 20% | 14 Feb → | |
| anubis | 1–13 | -0.11 | 11% | 11 Feb → | |
| overpass | 16–14 | 0.01 | 29% | 11 Feb → | |
| anubis | 13–0 | 0.07 | 32% | 11 Feb → | |
| overpass | 7–13 | -0.06 | 26% | 10 Feb → | |
| ancient | 13–0 | 0.12 | 23% | 10 Feb → | |
| overpass | 16–12 | 0.00 | 24% | 10 Feb → | |
| vertigo | 13–5 | 0.01 | 26% | 6 Feb → | |
| anubis | 13–8 | 0.11 | 33% | 5 Feb → | |
| anubis | 6–13 | -0.04 | 35% | 5 Feb → | |
| anubis | 13–9 | 0.06 | 16% | 1 Feb → | |
| anubis | 8–13 | 0.05 | 29% | 1 Feb → | |
| inferno | 13–8 | 0.12 | 30% | 1 Feb → | |
| vertigo | 13–11 | 0.05 | 20% | 1 Feb → | |
| anubis | 13–6 | -0.04 | 10% | 31 Jan → | |
| anubis | 13–6 | 0.02 | 24% | 31 Jan → | |
| anubis | 13–6 | -0.00 | 23% | 31 Jan → | |
| anubis | 13–8 | 0.08 | 22% | 30 Jan → | |
| mirage | 13–5 | 0.08 | 37% | 30 Jan → | |
| anubis | 1–13 | -0.06 | 9% | 29 Jan → |
Match data via Leetify.
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