Mr. Canister — CS2 Stats
76561198041729979[U:1:81464251]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.00 avg rating
Player DNA
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 Twistzz 79% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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
Areas to improve
CT openings. Opening success drops from 47% on T to 32% on CT — first contacts on the defending side are being lost.
Reaction time. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.0/10 (Developing), 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 65 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 | 13 | 6–7 | 46% | -0.03 |
 ancient | D | 11 | 3–8 | 27% | -0.03 |
 mirage | A | 9 | 5–4 | 56% | -0.02 |
 anubis | B | 8 | 4–4 | 50% | 0.00 |
 nuke | A | 8 | 5–3 | 63% | -0.03 |
 dust2 | S | 6 | 4–2 | 67% | 0.00 |
 overpass | B | 6 | 3–3 | 50% | 0.02 |
 vertigo | — | 3 | 2–1 | 67% | -0.08 |
 train | — | 1 | 1–0 | 100% | -0.01 |
Across the last 65 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWW
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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 31.6585% — 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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 9–13 | -0.00 | 20% | 10 Jun → | |
| inferno | 9–13 | -0.01 | 18% | 10 Jun → | |
| ancient | 10–13 | -0.01 | 29% | 10 Jun → | |
| anubis | 3–13 | -0.01 | 9% | 10 Jun → | |
| inferno | 3–13 | -0.02 | 31% | 10 Jun → | |
| dust2 | 13–5 | -0.08 | 0% | 10 Jun → | |
| mirage | 13–7 | 0.01 | 20% | 9 Jun → | |
| dust2 | 13–3 | -0.01 | 18% | 9 Jun → | |
| ancient | 6–13 | -0.01 | 7% | 9 Jun → | |
| nuke | 13–6 | -0.10 | 14% | 9 Jun → | |
| mirage | 13–6 | -0.04 | 17% | 9 Jun → | |
| ancient | 5–13 | -0.11 | 3% | 6 Jun → | |
| mirage | 13–3 | -0.02 | 24% | 6 Jun → | |
| inferno | 9–13 | -0.03 | 15% | 19 May → | |
| ancient | 2–13 | -0.09 | 14% | 19 May → | |
| ancient | 13–11 | 0.03 | 9% | 19 May → | |
| mirage | 13–7 | 0.05 | 15% | 18 May → | |
| dust2 | 10–13 | -0.01 | 33% | 18 May → | |
| nuke | 13–11 | -0.05 | 18% | 18 May → | |
| overpass | 7–13 | -0.00 | 17% | 5 Apr → | |
| vertigo | 13–8 | -0.08 | 8% | 5 Apr → | |
| mirage | 5–13 | -0.06 | 25% | 23 Dec → | |
| nuke | 13–16 | 0.01 | 19% | 23 Dec → | |
| inferno | 12–12 | -0.09 | 22% | 15 Dec → | |
| overpass | 8–13 | 0.01 | 22% | 15 Dec → | |
| nuke | 13–7 | -0.01 | 28% | 15 Dec → | |
| anubis | 13–3 | 0.04 | 14% | 15 Dec → | |
| mirage | 13–5 | -0.01 | 21% | 15 Dec → | |
| ancient | 13–4 | -0.01 | 16% | 15 Dec → | |
| dust2 | 13–2 | 0.12 | 22% | 15 Dec → | |
| vertigo | 7–13 | -0.06 | 14% | 13 Dec → | |
| mirage | 4–13 | -0.02 | 27% | 13 Dec → | |
| dust2 | 13–5 | -0.00 | 16% | 13 Dec → | |
| inferno | 13–4 | -0.01 | 29% | 13 Dec → | |
| train | 13–8 | -0.01 | 18% | 13 Dec → | |
| anubis | 5–13 | 0.04 | 35% | 17 Dec → | |
| nuke | 15–15 | -0.01 | 21% | 17 Dec → | |
| inferno | 16–12 | 0.03 | 20% | 16 Dec → | |
| overpass | 7–13 | -0.05 | 28% | 16 Dec → | |
| anubis | 13–10 | 0.01 | 7% | 16 Dec → | |
| inferno | 13–8 | -0.02 | 21% | 16 Dec → | |
| ancient | 3–13 | -0.08 | 15% | 15 Dec → | |
| mirage | 5–13 | -0.04 | 19% | 15 Dec → | |
| overpass | 13–10 | 0.06 | 19% | 15 Dec → | |
| inferno | 10–13 | -0.04 | 17% | 15 Dec → | |
| inferno | 13–9 | 0.01 | 11% | 12 Dec → | |
| nuke | 12–4 | -0.05 | 45% | 12 Dec → | |
| nuke | 4–13 | -0.03 | 20% | 24 Nov → | |
| vertigo | 13–9 | -0.09 | 26% | 24 Nov → | |
| overpass | 13–3 | 0.01 | 16% | 24 Nov → | |
| ancient | 5–13 | -0.06 | 17% | 24 Nov → | |
| mirage | 14–16 | -0.01 | 17% | 13 Nov → | |
| anubis | 9–13 | -0.07 | 20% | 13 Nov → | |
| ancient | 13–9 | -0.02 | 7% | 12 Nov → | |
| inferno | 13–6 | -0.06 | 5% | 12 Nov → | |
| nuke | 13–8 | -0.00 | 17% | 12 Nov → | |
| anubis | 13–9 | -0.04 | 21% | 12 Nov → | |
| inferno | 13–8 | -0.05 | 14% | 11 Nov → | |
| anubis | 13–7 | 0.09 | 24% | 11 Nov → | |
| overpass | 13–1 | 0.09 | 18% | 11 Nov → | |
| inferno | 13–16 | -0.04 | 14% | 20 Nov → | |
| anubis | 3–16 | -0.03 | 16% | 20 Nov → | |
| inferno | 2–9 | -0.06 | 0% | 19 Nov → | |
| ancient | 10–16 | 0.00 | 9% | 25 Jun → | |
| dust2 | 10–16 | 0.00 | 18% | 28 Nov → |
Match data via Leetify.