gamer123 — CS2 Stats
76561198136386602[U:1:176120874]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 | 74.9% | 48.1% | above |
| Shot accuracy | 0.1% | 12.9% | 12.8% short |
| Kill/death ratio | 1.64 | 1.08 | above |
| Match win rate | 41.1% | 46.5% | 5.4% short |
This profile matches the typical Pink band player on 2 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 · -0.00 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 iM 91% playstyle similarity
Most alike: opening-fight frequency, 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. 620ms 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 6.5/10 (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 |
|---|---|---|---|---|---|
 dust2 | A | 25 | 16–9 | 64% | 0.02 |
 cache | C | 19 | 8–11 | 42% | 0.03 |
 nuke | B | 17 | 9–8 | 53% | 0.02 |
 mirage | B | 14 | 7–7 | 50% | 0.02 |
 inferno | A | 12 | 7–5 | 58% | 0.02 |
 ancient | D | 6 | 2–4 | 33% | 0.02 |
 train | — | 4 | 3–1 | 75% | 0.07 |
 overpass | — | 1 | 0–1 | 0% | -0.03 |
 anubis | — | 1 | 1–0 | 100% | 0.04 |
 vertigo | — | 1 | 0–1 | 0% | 0.07 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 5–13 | -0.07 | 16% | 15 Aug → | |
| dust2 | 6–13 | -0.03 | 22% | 5 Aug → | |
| dust2 | 13–7 | -0.01 | 33% | 4 Aug → | |
| dust2 | 13–9 | 0.05 | 27% | 31 Jul → | |
| dust2 | 6–13 | -0.09 | 22% | 31 Jul → | |
| nuke | 13–10 | -0.04 | 25% | 25 Jul → | |
| inferno | 13–11 | -0.04 | 21% | 23 Jul → | |
| nuke | 9–13 | -0.02 | 17% | 19 Jul → | |
| inferno | 12–12 | -0.02 | 23% | 18 Jul → | |
| dust2 | 13–11 | 0.05 | 19% | 18 Jul → | |
| mirage | 13–10 | 0.09 | 42% | 17 Jul → | |
| mirage | 4–13 | -0.02 | 38% | 17 Jul → | |
| mirage | 13–10 | 0.06 | 28% | 15 Jul → | |
| inferno | 12–12 | 0.00 | 30% | 9 Jul → | |
| cache | 4–13 | -0.11 | 9% | 9 Jul → | |
| mirage | 7–13 | -0.06 | 19% | 9 Jul → | |
| cache | 7–13 | 0.00 | 41% | 9 Jul → | |
| mirage | 4–13 | -0.04 | 18% | 8 Jul → | |
| nuke | 6–13 | -0.03 | 29% | 7 Jul → | |
| dust2 | 13–11 | -0.11 | 26% | 6 Jul → | |
| nuke | 13–8 | 0.01 | 36% | 6 Jul → | |
| dust2 | 13–10 | 0.03 | 37% | 6 Jul → | |
| ancient | 13–6 | 0.04 | 33% | 4 Jul → | |
| inferno | 13–3 | 0.12 | 36% | 4 Jul → | |
| dust2 | 13–7 | -0.04 | 13% | 2 Jul → | |
| inferno | 15–15 | 0.07 | 29% | 2 Jul → | |
| mirage | 16–14 | 0.06 | 22% | 29 Jun → | |
| dust2 | 13–11 | 0.03 | 22% | 29 Jun → | |
| dust2 | 13–16 | 0.06 | 28% | 29 Jun → | |
| dust2 | 13–10 | 0.02 | 26% | 29 Jun → | |
| inferno | 13–4 | -0.05 | 26% | 18 Jun → | |
| ancient | 9–13 | -0.03 | 19% | 10 Jun → | |
| nuke | 6–13 | 0.10 | 21% | 10 Jun → | |
| mirage | 9–13 | -0.09 | 30% | 7 Jun → | |
| cache | 13–7 | 0.06 | 22% | 4 Jun → | |
| cache | 13–2 | 0.07 | 25% | 1 Jun → | |
| mirage | 13–6 | 0.02 | 34% | 1 Jun → | |
| overpass | 12–12 | -0.03 | 20% | 30 May → | |
| mirage | 12–12 | -0.00 | 16% | 28 May → | |
| nuke | 13–9 | 0.03 | 15% | 28 May → | |
| inferno | 6–13 | 0.07 | 31% | 28 May → | |
| train | 12–12 | 0.07 | 30% | 27 May → | |
| nuke | 13–8 | 0.03 | 20% | 26 May → | |
| ancient | 6–13 | 0.06 | 25% | 26 May → | |
| cache | 13–11 | 0.01 | 20% | 25 May → | |
| mirage | 13–7 | 0.06 | 22% | 25 May → | |
| nuke | 3–13 | -0.07 | 33% | 24 May → | |
| ancient | 10–13 | -0.08 | 24% | 23 May → | |
| nuke | 13–10 | 0.14 | 29% | 23 May → | |
| cache | 10–13 | 0.07 | 28% | 23 May → | |
| cache | 13–9 | 0.05 | 31% | 23 May → | |
| mirage | 13–9 | 0.06 | 27% | 21 May → | |
| dust2 | 11–13 | 0.02 | 30% | 21 May → | |
| cache | 5–13 | -0.03 | 35% | 19 May → | |
| cache | 11–13 | 0.00 | 27% | 19 May → | |
| nuke | 12–12 | 0.06 | 37% | 18 May → | |
| cache | 12–12 | 0.03 | 42% | 18 May → | |
| dust2 | 13–10 | -0.04 | 20% | 16 May → | |
| dust2 | 13–2 | 0.06 | 29% | 15 May → | |
| dust2 | 9–13 | 0.03 | 27% | 13 May → | |
| inferno | 13–6 | 0.13 | 28% | 13 May → | |
| dust2 | 6–13 | -0.02 | 26% | 12 May → | |
| inferno | 13–5 | -0.03 | 17% | 12 May → | |
| dust2 | 13–8 | 0.06 | 31% | 12 May → | |
| dust2 | 12–12 | 0.04 | 40% | 12 May → | |
| dust2 | 13–9 | 0.04 | 27% | 11 May → | |
| nuke | 13–9 | 0.05 | 34% | 10 May → | |
| cache | 5–13 | 0.02 | 32% | 10 May → | |
| cache | 12–12 | 0.02 | 22% | 9 May → | |
| ancient | 6–13 | 0.07 | 23% | 9 May → | |
| cache | 6–13 | -0.02 | 26% | 8 May → | |
| cache | 13–8 | 0.02 | 35% | 6 May → | |
| nuke | 13–9 | -0.02 | 27% | 6 May → | |
| nuke | 13–8 | 0.04 | 24% | 5 May → | |
| nuke | 13–6 | 0.07 | 24% | 4 May → | |
| dust2 | 13–11 | 0.04 | 28% | 3 May → | |
| dust2 | 13–6 | 0.09 | 24% | 3 May → | |
| cache | 9–13 | 0.15 | 32% | 3 May → | |
| ancient | 13–8 | 0.04 | 32% | 2 May → | |
| nuke | 11–13 | 0.04 | 30% | 1 May → | |
| mirage | 13–3 | 0.16 | 19% | 1 May → | |
| nuke | 7–13 | 0.01 | 17% | 30 Apr → | |
| mirage | 10–13 | 0.01 | 26% | 30 Apr → | |
| cache | 13–7 | 0.11 | 36% | 30 Apr → | |
| inferno | 13–9 | 0.02 | 24% | 30 Apr → | |
| cache | 13–5 | 0.09 | 30% | 30 Apr → | |
| cache | 4–13 | -0.04 | 20% | 29 Apr → | |
| cache | 13–7 | 0.11 | 38% | 29 Apr → | |
| dust2 | 13–2 | 0.01 | 29% | 27 Apr → | |
| inferno | 13–11 | 0.01 | 17% | 26 Apr → | |
| nuke | 7–13 | 0.02 | 39% | 26 Apr → | |
| anubis | 13–6 | 0.04 | 20% | 26 Apr → | |
| vertigo | 11–13 | 0.07 | 31% | 25 Apr → | |
| dust2 | 7–13 | -0.02 | 21% | 25 Apr → | |
| train | 13–10 | 0.12 | 22% | 25 Apr → | |
| train | 2–3 | -0.07 | 0% | 24 Apr → | |
| mirage | 6–13 | -0.02 | 25% | 24 Apr → | |
| inferno | 7–13 | -0.02 | 26% | 24 Apr → | |
| train | 13–6 | 0.15 | 38% | 23 Apr → | |
| dust2 | 13–10 | 0.18 | 32% | 23 Apr → |
Match data via Leetify.
