2 Tap — CS2 Stats
76561199833000089[U:1:1872734361]
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 56.2% | 44.1% | 47.2% | above |
| Shot accuracy | 0.0% | 11.4% | 12.7% | 12.7% short |
| Kill/death ratio | 1.43 | 1.03 | 1.09 | above |
| Match win rate | 48.2% | 45.2% | 46.6% | above |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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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 aimerExcellent counter-strafing
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 jL 96% playstyle similarity
Most alike: positioning profile, utility contribution.
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 88 — the mechanical foundation is a clear strength.
Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Reaction time. 610ms 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 7.8/10 (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 |
|---|---|---|---|---|---|
 nuke | B | 19 | 9–10 | 47% | -0.00 |
 dust2 | B | 19 | 10–9 | 53% | 0.02 |
 inferno | S | 12 | 9–3 | 75% | 0.02 |
 cache | A | 11 | 6–5 | 55% | 0.07 |
 ancient | A | 11 | 6–5 | 55% | 0.03 |
 mirage | D | 11 | 3–8 | 27% | 0.02 |
 vertigo | B | 6 | 3–3 | 50% | 0.01 |
 anubis | C | 5 | 2–3 | 40% | -0.01 |
 train | — | 4 | 2–2 | 50% | -0.00 |
 overpass | — | 2 | 1–1 | 50% | 0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (27% over 11). 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
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 | |
|---|---|---|---|---|---|
| nuke | 13–9 | 0.05 | 18% | 28 Aug → | |
| nuke | 16–14 | -0.02 | 15% | 26 Aug → | |
| train | 11–13 | -0.05 | 11% | 26 Aug → | |
| nuke | 3–7 | 0.01 | 42% | 23 Aug → | |
| cache | 11–13 | 0.02 | 27% | 23 Aug → | |
| ancient | 9–13 | 0.05 | 9% | 23 Aug → | |
| inferno | 13–4 | 0.11 | 15% | 23 Aug → | |
| nuke | 13–4 | -0.05 | 20% | 23 Aug → | |
| anubis | 13–9 | 0.04 | 15% | 20 Aug → | |
| nuke | 4–13 | -0.02 | 35% | 20 Aug → | |
| train | 7–13 | 0.01 | 21% | 18 Aug → | |
| anubis | 13–11 | 0.01 | 24% | 18 Aug → | |
| overpass | 5–13 | -0.00 | 15% | 17 Aug → | |
| cache | 13–11 | 0.05 | 25% | 17 Aug → | |
| inferno | 6–13 | -0.01 | 27% | 16 Aug → | |
| mirage | 13–8 | 0.00 | 9% | 16 Aug → | |
| cache | 13–2 | 0.14 | 17% | 14 Aug → | |
| dust2 | 13–11 | 0.04 | 19% | 14 Aug → | |
| dust2 | 13–5 | -0.02 | 18% | 13 Aug → | |
| nuke | 13–2 | -0.01 | 20% | 13 Aug → | |
| dust2 | 13–6 | 0.07 | 25% | 12 Aug → | |
| inferno | 13–9 | -0.02 | 12% | 12 Aug → | |
| dust2 | 13–6 | 0.01 | 18% | 11 Aug → | |
| mirage | 11–13 | 0.01 | 20% | 10 Aug → | |
| dust2 | 12–12 | 0.01 | 20% | 10 Aug → | |
| nuke | 13–7 | 0.06 | 23% | 10 Aug → | |
| ancient | 13–5 | 0.05 | 25% | 10 Aug → | |
| vertigo | 13–6 | -0.02 | 9% | 10 Aug → | |
| inferno | 13–7 | 0.09 | 33% | 9 Aug → | |
| nuke | 13–3 | 0.07 | 20% | 9 Aug → | |
| dust2 | 15–15 | -0.01 | 9% | 9 Aug → | |
| ancient | 13–10 | 0.08 | 15% | 9 Aug → | |
| vertigo | 13–7 | -0.08 | 24% | 8 Aug → | |
| inferno | 13–6 | -0.05 | 7% | 8 Aug → | |
| nuke | 9–13 | -0.04 | 25% | 7 Aug → | |
| train | 13–9 | 0.00 | 22% | 6 Aug → | |
| ancient | 13–9 | 0.00 | 16% | 6 Aug → | |
| anubis | 4–13 | 0.00 | 20% | 5 Aug → | |
| nuke | 13–5 | 0.02 | 14% | 5 Aug → | |
| train | 13–10 | 0.03 | 15% | 4 Aug → | |
| nuke | 12–12 | 0.03 | 21% | 4 Aug → | |
| ancient | 13–11 | -0.01 | 18% | 4 Aug → | |
| inferno | 13–1 | 0.04 | 8% | 4 Aug → | |
| dust2 | 11–13 | -0.01 | 25% | 4 Aug → | |
| mirage | 13–11 | 0.03 | 13% | 4 Aug → | |
| mirage | 3–13 | -0.00 | 36% | 1 Aug → | |
| cache | 13–5 | 0.06 | 31% | 1 Aug → | |
| nuke | 9–13 | -0.00 | 29% | 1 Aug → | |
| dust2 | 13–8 | 0.06 | 18% | 1 Aug → | |
| vertigo | 12–12 | 0.17 | 20% | 31 Jul → | |
| dust2 | 9–13 | 0.02 | 17% | 31 Jul → | |
| vertigo | 12–12 | -0.02 | 22% | 29 Jul → | |
| dust2 | 13–3 | 0.00 | 18% | 29 Jul → | |
| overpass | 13–1 | 0.13 | 17% | 27 Jul → | |
| ancient | 12–12 | 0.01 | 20% | 26 Jul → | |
| mirage | 12–12 | 0.02 | 14% | 26 Jul → | |
| nuke | 8–13 | -0.02 | 20% | 26 Jul → | |
| inferno | 13–7 | 0.10 | 21% | 26 Jul → | |
| dust2 | 12–12 | 0.01 | 22% | 26 Jul → | |
| ancient | 11–13 | 0.02 | 18% | 26 Jul → | |
| mirage | 10–13 | 0.11 | 15% | 25 Jul → | |
| nuke | 10–13 | -0.04 | 26% | 25 Jul → | |
| inferno | 13–10 | 0.03 | 21% | 24 Jul → | |
| cache | 13–6 | 0.10 | 28% | 24 Jul → | |
| dust2 | 5–13 | -0.02 | 8% | 24 Jul → | |
| inferno | 13–9 | -0.01 | 20% | 23 Jul → | |
| nuke | 13–3 | 0.00 | 23% | 23 Jul → | |
| vertigo | 11–13 | 0.03 | 13% | 22 Jul → | |
| dust2 | 13–5 | 0.08 | 20% | 22 Jul → | |
| mirage | 13–8 | -0.01 | 14% | 22 Jul → | |
| mirage | 3–13 | -0.04 | 27% | 20 Jul → | |
| cache | 12–12 | 0.07 | 12% | 20 Jul → | |
| mirage | 9–13 | 0.05 | 21% | 18 Jul → | |
| dust2 | 10–13 | -0.01 | 23% | 18 Jul → | |
| mirage | 7–13 | -0.00 | 28% | 18 Jul → | |
| mirage | 14–16 | 0.00 | 17% | 17 Jul → | |
| ancient | 13–11 | -0.02 | 14% | 17 Jul → | |
| nuke | 13–8 | 0.02 | 13% | 16 Jul → | |
| anubis | 6–13 | -0.03 | 7% | 16 Jul → | |
| nuke | 12–12 | -0.03 | 2% | 13 Jul → | |
| dust2 | 13–11 | 0.01 | 17% | 13 Jul → | |
| ancient | 9–13 | 0.04 | 24% | 13 Jul → | |
| cache | 7–13 | 0.01 | 13% | 13 Jul → | |
| cache | 15–15 | 0.00 | 12% | 12 Jul → | |
| dust2 | 13–9 | -0.01 | 11% | 12 Jul → | |
| nuke | 10–13 | -0.06 | 10% | 12 Jul → | |
| nuke | 3–13 | -0.06 | 7% | 9 Jul → | |
| cache | 13–2 | 0.18 | 22% | 9 Jul → | |
| vertigo | 13–4 | -0.02 | 4% | 8 Jul → | |
| dust2 | 12–12 | 0.01 | 12% | 8 Jul → | |
| inferno | 11–13 | -0.06 | 18% | 7 Jul → | |
| cache | 13–1 | 0.07 | 18% | 7 Jul → | |
| cache | 5–13 | 0.03 | 11% | 6 Jul → | |
| dust2 | 13–3 | 0.05 | 13% | 6 Jul → | |
| inferno | 13–8 | 0.09 | 13% | 6 Jul → | |
| anubis | 1–13 | -0.09 | 4% | 6 Jul → | |
| dust2 | 12–12 | 0.15 | 19% | 5 Jul → | |
| inferno | 7–13 | -0.07 | 8% | 5 Jul → | |
| ancient | 13–8 | 0.04 | 13% | 5 Jul → | |
| ancient | 12–12 | 0.04 | 22% | 5 Jul → |
Match data via Leetify.