Potts&Pans — CS2 Stats
US76561197992139382[U:1:31873654]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp 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 NiKo 61% playstyle similarity
Most alike: opening-duel success, positioning profile.
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 34% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 751ms 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 2.7/10 (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 |
|---|---|---|---|---|---|
 dust2 | C | 25 | 11–14 | 44% | -0.05 |
 mirage | D | 12 | 1–11 | 8% | -0.07 |
 nuke | C | 12 | 5–7 | 42% | -0.05 |
 anubis | B | 10 | 5–5 | 50% | -0.03 |
| office | B | 8 | 4–4 | 50% | -0.06 |
 overpass | S | 8 | 6–2 | 75% | -0.07 |
 inferno | A | 7 | 4–3 | 57% | -0.03 |
 train | B | 6 | 3–3 | 50% | -0.07 |
 ancient | A | 5 | 3–2 | 60% | -0.04 |
 cache | — | 2 | 0–2 | 0% | -0.11 |
| agency | — | 2 | 1–1 | 50% | -0.06 |
| italy | — | 1 | 1–0 | 100% | -0.01 |
 vertigo | — | 1 | 0–1 | 0% | -0.06 |
| jura | — | 1 | 1–0 | 100% | -0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Mirage 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.
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 11.8579% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 751.438ms — above the 700ms 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 18.4982% — 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.
8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 4–13 | -0.13 | 17% | 28 Aug → | |
| office | 11–13 | -0.10 | 13% | 26 Aug → | |
| inferno | 5–13 | -0.10 | 6% | 17 Aug → | |
| dust2 | 2–13 | -0.10 | 25% | 22 Jul → | |
| anubis | 13–11 | -0.06 | 14% | 20 Jul → | |
| inferno | 13–8 | 0.05 | 21% | 2 Jul → | |
| dust2 | 13–7 | -0.09 | 11% | 2 Jul → | |
| dust2 | 11–13 | -0.08 | 17% | 1 Jul → | |
| overpass | 13–10 | -0.07 | 17% | 28 Jun → | |
| nuke | 13–10 | 0.03 | 24% | 22 Jun → | |
| cache | 12–12 | -0.12 | 7% | 21 Jun → | |
| cache | 8–13 | -0.10 | 12% | 1 May → | |
| ancient | 1–13 | -0.09 | 8% | 13 Feb → | |
| dust2 | 8–13 | -0.07 | 8% | 13 Feb → | |
| mirage | 2–13 | -0.09 | 9% | 13 Feb → | |
| overpass | 13–9 | -0.07 | 7% | 4 Feb → | |
| anubis | 7–13 | -0.07 | 10% | 3 Feb → | |
| dust2 | 15–15 | -0.05 | 7% | 3 Feb → | |
| inferno | 13–6 | -0.03 | 4% | 30 Jan → | |
| anubis | 13–7 | 0.02 | 13% | 30 Jan → | |
| mirage | 9–13 | -0.06 | 9% | 29 Jan → | |
| dust2 | 13–11 | -0.04 | 17% | 29 Jan → | |
| mirage | 13–16 | -0.04 | 12% | 22 Jan → | |
| nuke | 13–6 | -0.07 | 11% | 15 Jan → | |
| overpass | 13–6 | -0.10 | 10% | 15 Jan → | |
| anubis | 2–13 | -0.09 | 0% | 13 Jan → | |
| dust2 | 3–13 | -0.09 | 13% | 13 Jan → | |
| nuke | 14–16 | -0.07 | 11% | 9 Jan → | |
| mirage | 13–11 | -0.02 | 15% | 9 Jan → | |
| nuke | 11–13 | -0.11 | 8% | 9 Jan → | |
| dust2 | 13–3 | -0.06 | 14% | 9 Jan → | |
| dust2 | 5–13 | -0.00 | 28% | 9 Jan → | |
| inferno | 13–2 | -0.07 | 11% | 8 Jan → | |
| dust2 | 13–16 | -0.05 | 7% | 6 Jan → | |
| train | 13–8 | -0.05 | 19% | 24 Dec → | |
| overpass | 13–8 | -0.08 | 13% | 19 Dec → | |
| dust2 | 10–13 | -0.07 | 18% | 12 Dec → | |
| nuke | 4–13 | -0.03 | 8% | 12 Dec → | |
| nuke | 9–13 | -0.07 | 13% | 12 Dec → | |
| dust2 | 15–15 | -0.04 | 5% | 4 Dec → | |
| ancient | 13–11 | -0.02 | 7% | 2 Dec → | |
| nuke | 13–8 | -0.04 | 21% | 9 Nov → | |
| mirage | 9–13 | -0.04 | 14% | 29 Oct → | |
| overpass | 3–13 | -0.09 | 20% | 26 Oct → | |
| italy | 13–8 | -0.01 | 10% | 24 Aug → | |
| dust2 | 7–13 | 0.00 | 8% | 24 Aug → | |
| ancient | 9–13 | -0.13 | 17% | 15 Aug → | |
| dust2 | 13–5 | -0.05 | 14% | 14 Aug → | |
| inferno | 13–6 | 0.02 | 17% | 14 Aug → | |
| train | 16–14 | -0.05 | 17% | 9 Aug → | |
| dust2 | 8–13 | -0.02 | 12% | 9 Aug → | |
| train | 3–13 | -0.12 | 4% | 1 Aug → | |
| vertigo | 11–13 | -0.06 | 24% | 1 Aug → | |
| inferno | 11–13 | -0.00 | 16% | 1 Aug → | |
| overpass | 13–6 | -0.01 | 12% | 19 Jul → | |
| mirage | 10–13 | -0.06 | 16% | 19 Jul → | |
| dust2 | 16–12 | -0.03 | 19% | 17 Jul → | |
| overpass | 7–12 | -0.05 | 6% | 17 Jul → | |
| office | 13–6 | -0.10 | 10% | 14 Jul → | |
| dust2 | 13–6 | -0.06 | 18% | 13 Jul → | |
| mirage | 6–13 | -0.05 | 7% | 10 Jul → | |
| inferno | 12–12 | -0.08 | 14% | 29 Jun → | |
| office | 8–13 | -0.01 | 22% | 27 Jun → | |
| dust2 | 6–13 | -0.06 | 12% | 27 Jun → | |
| nuke | 13–8 | -0.05 | 19% | 18 Jun → | |
| anubis | 13–8 | -0.05 | 16% | 15 Jun → | |
| nuke | 13–6 | -0.02 | 13% | 15 Jun → | |
| anubis | 13–4 | 0.04 | 4% | 14 Jun → | |
| dust2 | 13–10 | -0.01 | 22% | 14 Jun → | |
| mirage | 12–16 | -0.08 | 5% | 13 Jun → | |
| anubis | 13–7 | -0.03 | 6% | 13 Jun → | |
| train | 13–9 | -0.03 | 22% | 6 Jun → | |
| mirage | 5–13 | -0.07 | 10% | 6 Jun → | |
| anubis | 11–13 | -0.05 | 10% | 6 Jun → | |
| dust2 | 13–5 | -0.08 | 4% | 6 Jun → | |
| nuke | 4–13 | -0.13 | 11% | 6 Jun → | |
| mirage | 12–12 | -0.09 | 8% | 4 Jun → | |
| jura | 13–4 | -0.06 | 8% | 4 Jun → | |
| dust2 | 13–8 | -0.07 | 13% | 30 May → | |
| dust2 | 9–13 | -0.06 | 23% | 30 May → | |
| ancient | 13–4 | 0.02 | 10% | 30 May → | |
| office | 13–3 | -0.04 | 3% | 30 May → | |
| dust2 | 13–7 | -0.06 | 9% | 22 May → | |
| train | 8–13 | -0.13 | 14% | 22 May → | |
| mirage | 10–13 | -0.07 | 0% | 21 May → | |
| anubis | 4–13 | -0.01 | 14% | 20 May → | |
| dust2 | 7–13 | -0.06 | 14% | 20 May → | |
| nuke | 10–13 | -0.03 | 16% | 20 May → | |
| nuke | 6–13 | -0.05 | 13% | 20 May → | |
| agency | 0–12 | -0.06 | 20% | 19 May → | |
| office | 10–13 | -0.06 | 17% | 19 May → | |
| office | 13–5 | -0.02 | 7% | 16 May → | |
| agency | 13–9 | -0.07 | 8% | 16 May → | |
| dust2 | 13–11 | -0.04 | 11% | 16 May → | |
| anubis | 11–13 | -0.03 | 4% | 30 Apr → | |
| office | 13–4 | -0.08 | 0% | 30 Apr → | |
| ancient | 13–2 | 0.01 | 12% | 30 Apr → | |
| train | 7–13 | -0.04 | 17% | 29 Apr → | |
| office | 6–13 | -0.09 | 9% | 30 Mar → | |
| overpass | 13–10 | -0.10 | 0% | 30 Mar → |
Match data via Leetify.