Heat Miser — CS2 Stats
76561198080367557[U:1:120101829]VAC banned
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 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 b1t 82% 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
T-side openings. Opening success drops from 50% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 652ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 70% 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 3.8/10 (Learning), 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 | 14 | 7–7 | 50% | 0.04 |
 nuke | B | 14 | 7–7 | 50% | 0.02 |
 vertigo | A | 13 | 8–5 | 62% | 0.03 |
 dust2 | C | 10 | 4–6 | 40% | 0.01 |
 ancient | B | 10 | 5–5 | 50% | 0.02 |
 anubis | S | 10 | 8–2 | 80% | 0.02 |
 mirage | C | 9 | 4–5 | 44% | 0.01 |
 overpass | S | 7 | 5–2 | 71% | 0.04 |
 train | — | 4 | 3–1 | 75% | 0.01 |
| office | — | 3 | 1–2 | 33% | 0.04 |
| jura | — | 3 | 2–1 | 67% | -0.02 |
| palacio | — | 1 | 0–1 | 0% | -0.05 |
| golden | — | 1 | 0–1 | 0% | -0.05 |
| agency | — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 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 resultsWLLWL
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 10.254% — 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 33.0602% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–5 | 0.04 | 16% | 14 Dec → | |
| inferno | 13–10 | 0.01 | 15% | 13 Dec → | |
| dust2 | 11–13 | 0.03 | 16% | 10 Dec → | |
| mirage | 11–13 | 0.05 | 6% | 30 Nov → | |
| ancient | 10–13 | -0.10 | 9% | 24 Nov → | |
| dust2 | 1–13 | -0.10 | 0% | 23 Nov → | |
| nuke | 11–13 | 0.04 | 15% | 22 Nov → | |
| inferno | 7–13 | -0.01 | 7% | 22 Nov → | |
| mirage | 2–13 | -0.06 | 2% | 21 Nov → | |
| vertigo | 5–13 | 0.10 | 7% | 20 Nov → | |
| vertigo | 1–1 | 0.04 | 25% | 20 Nov → | |
| nuke | 6–13 | 0.05 | 13% | 20 Nov → | |
| overpass | 10–13 | -0.01 | 17% | 17 Nov → | |
| ancient | 13–3 | 0.01 | 12% | 17 Nov → | |
| vertigo | 5–13 | -0.03 | 7% | 16 Nov → | |
| ancient | 13–5 | 0.06 | 9% | 16 Nov → | |
| dust2 | 5–13 | 0.02 | 4% | 16 Nov → | |
| nuke | 3–13 | 0.03 | 7% | 16 Nov → | |
| palacio | 2–10 | -0.05 | 9% | 5 Oct → | |
| golden | 5–13 | -0.05 | 12% | 5 Oct → | |
| inferno | 13–16 | 0.02 | 10% | 21 Sept → | |
| dust2 | 5–13 | -0.01 | 15% | 21 Sept → | |
| mirage | 13–5 | 0.04 | 16% | 13 Sept → | |
| mirage | 1–13 | -0.07 | 8% | 8 Sept → | |
| office | 13–5 | 0.04 | 14% | 7 Sept → | |
| inferno | 8–13 | 0.08 | 10% | 7 Sept → | |
| ancient | 8–13 | -0.01 | 10% | 6 Sept → | |
| dust2 | 13–4 | 0.03 | 12% | 6 Sept → | |
| overpass | 13–4 | 0.00 | 6% | 24 Aug → | |
| anubis | 13–5 | 0.00 | 3% | 24 Aug → | |
| anubis | 10–13 | 0.06 | 17% | 24 Aug → | |
| nuke | 13–6 | 0.03 | 24% | 23 Aug → | |
| anubis | 4–13 | -0.06 | 12% | 23 Aug → | |
| nuke | 12–12 | -0.01 | 19% | 19 Aug → | |
| vertigo | 6–5 | 0.03 | 3% | 19 Aug → | |
| vertigo | 13–5 | -0.00 | 4% | 12 Aug → | |
| agency | 13–11 | 0.08 | 9% | 8 Aug → | |
| overpass | 6–13 | 0.08 | 11% | 7 Aug → | |
| vertigo | 12–12 | -0.03 | 6% | 3 Aug → | |
| jura | 5–13 | -0.01 | 15% | 3 Aug → | |
| train | 3–13 | -0.03 | 4% | 2 Aug → | |
| vertigo | 13–5 | 0.11 | 21% | 2 Aug → | |
| dust2 | 13–5 | 0.03 | 18% | 30 Jul → | |
| vertigo | 13–11 | 0.04 | 9% | 29 Jul → | |
| dust2 | 3–13 | -0.06 | 3% | 26 Jul → | |
| vertigo | 13–6 | 0.08 | 13% | 26 Jul → | |
| nuke | 13–11 | 0.08 | 8% | 13 Jul → | |
| inferno | 2–9 | -0.01 | 13% | 13 Jul → | |
| anubis | 13–7 | 0.01 | 19% | 12 Jul → | |
| mirage | 13–10 | 0.04 | 7% | 9 Jul → | |
| mirage | 13–10 | 0.02 | 13% | 5 Jul → | |
| nuke | 13–9 | 0.06 | 18% | 3 Jul → | |
| inferno | 13–9 | 0.17 | 11% | 3 Jul → | |
| nuke | 13–3 | 0.06 | 6% | 30 Jun → | |
| inferno | 13–3 | 0.07 | 12% | 29 Jun → | |
| vertigo | 13–11 | 0.06 | 13% | 29 Jun → | |
| anubis | 13–9 | 0.03 | 19% | 29 Jun → | |
| nuke | 9–13 | 0.02 | 13% | 28 Jun → | |
| ancient | 13–11 | 0.08 | 11% | 28 Jun → | |
| anubis | 13–10 | -0.00 | 8% | 27 Jun → | |
| anubis | 13–4 | 0.07 | 9% | 26 Jun → | |
| train | 13–9 | 0.05 | 5% | 24 Jun → | |
| overpass | 13–0 | 0.04 | 3% | 24 Jun → | |
| inferno | 8–8 | -0.01 | 13% | 24 Jun → | |
| nuke | 13–2 | -0.01 | 2% | 23 Jun → | |
| nuke | 4–13 | -0.01 | 5% | 23 Jun → | |
| ancient | 6–13 | 0.11 | 18% | 22 Jun → | |
| anubis | 13–9 | 0.04 | 8% | 22 Jun → | |
| ancient | 9–13 | 0.02 | 11% | 21 Jun → | |
| inferno | 13–7 | 0.01 | 13% | 20 Jun → | |
| vertigo | 12–12 | 0.04 | 7% | 19 Jun → | |
| nuke | 13–4 | -0.03 | 6% | 19 Jun → | |
| ancient | 5–13 | -0.03 | 10% | 19 Jun → | |
| vertigo | 10–13 | 0.00 | 11% | 18 Jun → | |
| nuke | 7–13 | 0.03 | 11% | 17 Jun → | |
| dust2 | 13–6 | 0.05 | 8% | 14 Jun → | |
| office | 9–13 | 0.08 | 5% | 8 Jun → | |
| anubis | 13–11 | 0.04 | 4% | 8 Jun → | |
| train | 13–4 | 0.03 | 11% | 8 Jun → | |
| overpass | 13–7 | -0.02 | 17% | 8 Jun → | |
| inferno | 12–12 | 0.02 | 14% | 8 Jun → | |
| inferno | 13–3 | 0.02 | 0% | 7 Jun → | |
| mirage | 3–13 | -0.05 | 8% | 7 Jun → | |
| jura | 13–11 | -0.05 | 4% | 7 Jun → | |
| dust2 | 9–13 | 0.03 | 5% | 7 Jun → | |
| jura | 9–3 | -0.01 | 18% | 7 Jun → | |
| ancient | 13–5 | 0.04 | 9% | 5 Jun → | |
| ancient | 13–5 | -0.02 | 9% | 5 Jun → | |
| dust2 | 13–8 | 0.03 | 12% | 5 Jun → | |
| overpass | 13–6 | 0.06 | 8% | 3 Jun → | |
| inferno | 13–9 | 0.12 | 9% | 2 Jun → | |
| office | 11–13 | -0.02 | 12% | 2 Jun → | |
| nuke | 13–1 | 0.02 | 21% | 1 Jun → | |
| vertigo | 13–9 | -0.01 | 9% | 1 Jun → | |
| anubis | 13–7 | 0.02 | 9% | 1 Jun → | |
| inferno | 7–13 | 0.06 | 5% | 1 Jun → | |
| train | 13–11 | -0.01 | 12% | 1 Jun → | |
| mirage | 13–8 | 0.02 | 6% | 1 Jun → | |
| overpass | 13–8 | 0.16 | 7% | 1 Jun → | |
| mirage | 12–12 | 0.07 | 11% | 31 May → |
Match data via Leetify.