9Mill — CS2 Stats
76561198208486651[U:1:248220923]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 63.3% | 48.1% | above |
| Shot accuracy | 21.5% | 12.9% | above |
| Kill/death ratio | 1.62 | 1.08 | above |
| Match win rate | 41.7% | 46.5% | 4.8% short |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
Widest gap: Match win rate. 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.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.09 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 92% playstyle similarity
Most alike: opening-duel success, utility contribution.
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
Areas to improve
Reaction time. 629ms 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 6.7/10 (Solid), 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 |
|---|---|---|---|---|---|
 cache | B | 28 | 15–13 | 54% | 0.04 |
 inferno | B | 24 | 11–13 | 46% | 0.03 |
 mirage | A | 19 | 12–7 | 63% | 0.02 |
 dust2 | B | 12 | 6–6 | 50% | -0.01 |
 nuke | A | 9 | 5–4 | 56% | 0.04 |
 overpass | C | 5 | 2–3 | 40% | -0.01 |
 ancient | — | 1 | 1–0 | 100% | 0.02 |
 anubis | — | 1 | 0–1 | 0% | 0.06 |
| office | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Overpass 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 12–12 | 0.00 | 18% | 27 Aug → | |
| mirage | 13–10 | -0.03 | 22% | 25 Aug → | |
| ancient | 13–10 | 0.02 | 21% | 24 Aug → | |
| dust2 | 13–11 | -0.04 | 37% | 23 Aug → | |
| nuke | 13–3 | 0.04 | 16% | 23 Aug → | |
| nuke | 13–4 | 0.08 | 22% | 23 Aug → | |
| anubis | 14–16 | 0.06 | 23% | 22 Aug → | |
| inferno | 2–9 | -0.11 | 17% | 19 Aug → | |
| inferno | 2–9 | -0.15 | 19% | 19 Aug → | |
| nuke | 13–2 | -0.01 | 27% | 19 Aug → | |
| cache | 13–2 | 0.11 | 18% | 18 Aug → | |
| inferno | 9–3 | 0.07 | 29% | 16 Aug → | |
| inferno | 8–8 | 0.08 | 25% | 16 Aug → | |
| inferno | 9–3 | 0.20 | 14% | 16 Aug → | |
| dust2 | 7–13 | 0.07 | 23% | 16 Aug → | |
| cache | 9–13 | 0.04 | 15% | 16 Aug → | |
| mirage | 13–10 | 0.09 | 26% | 15 Aug → | |
| dust2 | 13–5 | 0.05 | 24% | 13 Aug → | |
| nuke | 13–10 | -0.01 | 12% | 12 Aug → | |
| mirage | 13–3 | 0.05 | 26% | 11 Aug → | |
| cache | 13–8 | 0.03 | 17% | 11 Aug → | |
| nuke | 13–2 | 0.11 | 27% | 9 Aug → | |
| inferno | 13–10 | -0.01 | 25% | 9 Aug → | |
| inferno | 6–0 | 0.22 | 46% | 9 Aug → | |
| mirage | 10–13 | -0.02 | 14% | 8 Aug → | |
| cache | 13–9 | -0.03 | 11% | 7 Aug → | |
| cache | 13–8 | 0.04 | 41% | 7 Aug → | |
| nuke | 7–13 | -0.01 | 17% | 6 Aug → | |
| dust2 | 9–13 | -0.02 | 22% | 5 Aug → | |
| cache | 13–2 | 0.01 | 27% | 3 Aug → | |
| inferno | 0–6 | -0.04 | 0% | 2 Aug → | |
| mirage | 13–11 | 0.01 | 17% | 1 Aug → | |
| mirage | 12–12 | 0.06 | 25% | 1 Aug → | |
| mirage | 13–6 | 0.04 | 21% | 25 Jul → | |
| inferno | 13–2 | 0.02 | 15% | 23 Jul → | |
| cache | 13–10 | 0.01 | 11% | 22 Jul → | |
| dust2 | 13–6 | -0.01 | 23% | 22 Jul → | |
| dust2 | 6–13 | -0.02 | 20% | 21 Jul → | |
| inferno | 2–12 | -0.03 | 16% | 20 Jul → | |
| mirage | 13–5 | 0.06 | 10% | 20 Jul → | |
| cache | 8–13 | -0.06 | 23% | 18 Jul → | |
| inferno | 11–13 | 0.02 | 16% | 15 Jul → | |
| inferno | 8–13 | 0.04 | 25% | 13 Jul → | |
| inferno | 10–13 | 0.24 | 28% | 9 Jul → | |
| dust2 | 13–8 | -0.02 | 27% | 6 Jul → | |
| cache | 13–8 | -0.03 | 8% | 4 Jul → | |
| dust2 | 16–14 | 0.00 | 20% | 4 Jul → | |
| overpass | 14–16 | -0.04 | 14% | 3 Jul → | |
| dust2 | 8–3 | -0.05 | 13% | 3 Jul → | |
| mirage | 13–9 | 0.12 | 24% | 28 Jun → | |
| cache | 12–12 | 0.02 | 11% | 27 Jun → | |
| nuke | 12–12 | 0.09 | 17% | 25 Jun → | |
| cache | 12–12 | -0.05 | 19% | 2 May → | |
| mirage | 2–13 | -0.06 | 13% | 27 Oct → | |
| mirage | 5–13 | 0.03 | 18% | 25 Oct → | |
| inferno | 13–8 | 0.01 | 29% | 25 Oct → | |
| nuke | 8–13 | 0.09 | 15% | 23 Oct → | |
| mirage | 13–4 | -0.02 | 23% | 22 Oct → | |
| mirage | 13–8 | 0.06 | 20% | 22 Oct → | |
| overpass | 2–13 | -0.00 | 18% | 20 Oct → | |
| inferno | 6–13 | -0.01 | 19% | 19 Oct → | |
| overpass | 13–5 | 0.00 | 4% | 19 Oct → | |
| mirage | 13–6 | -0.00 | 17% | 6 Mar → | |
| inferno | 13–8 | 0.05 | 20% | 2 Mar → | |
| inferno | 13–10 | 0.10 | 21% | 23 Feb → | |
| dust2 | 5–13 | -0.03 | 23% | 27 Jan → | |
| inferno | 9–6 | -0.07 | 10% | 24 Jul → | |
| cache | 11–16 | 0.07 | 14% | 22 Jul → | |
| inferno | 4–9 | -0.03 | 13% | 21 Jul → | |
| cache | 9–1 | 0.15 | 18% | 21 Jul → | |
| mirage | 5–9 | -0.06 | 17% | 20 Jul → | |
| cache | 3–9 | 0.02 | 15% | 20 Jul → | |
| inferno | 9–5 | 0.06 | 9% | 20 Jul → | |
| cache | 6–9 | 0.02 | 19% | 18 Jul → | |
| inferno | 6–9 | 0.06 | 18% | 18 Jul → | |
| cache | 9–6 | 0.17 | 18% | 17 Jul → | |
| cache | 7–9 | -0.04 | 16% | 17 Jul → | |
| office | 3–9 | 0.03 | 25% | 6 Jul → | |
| dust2 | 4–9 | 0.01 | 21% | 26 Jun → | |
| cache | 5–9 | -0.06 | 11% | 12 Jun → | |
| cache | 9–7 | 0.16 | 12% | 2 Jun → | |
| overpass | 5–9 | -0.09 | 21% | 31 May → | |
| cache | 9–6 | 0.13 | 11% | 28 May → | |
| nuke | 5–9 | 0.01 | 10% | 28 May → | |
| mirage | 9–4 | 0.02 | 14% | 28 May → | |
| cache | 0–9 | -0.11 | 18% | 28 May → | |
| cache | 9–4 | 0.15 | 18% | 22 May → | |
| cache | 7–9 | 0.06 | 15% | 21 May → | |
| mirage | 8–8 | 0.03 | 52% | 20 May → | |
| inferno | 9–6 | 0.01 | 14% | 18 May → | |
| mirage | 9–7 | 0.12 | 21% | 17 May → | |
| cache | 9–4 | 0.25 | 24% | 17 May → | |
| overpass | 9–2 | 0.09 | 14% | 17 May → | |
| inferno | 1–9 | -0.01 | 7% | 16 May → | |
| cache | 7–9 | -0.00 | 16% | 16 May → | |
| cache | 9–7 | 0.06 | 19% | 15 May → | |
| cache | 9–5 | 0.12 | 17% | 15 May → | |
| mirage | 8–8 | -0.04 | 19% | 15 May → | |
| inferno | 5–9 | 0.06 | 34% | 15 May → | |
| cache | 4–9 | -0.03 | 18% | 7 May → |
Match data via Leetify.
