[Inval1d♿] Wer666 — CS2 Stats
76561198350243440[U:1:389977712]
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 40.0% | 41.7% | 44.1% | 4.1% short |
| Shot accuracy | 2.7% | 8.8% | 11.4% | 8.7% short |
| Kill/death ratio | 0.58 | 0.97 | 1.03 | 0.45 short |
| Match win rate | 39.3% | 43.8% | 45.2% | 5.9% short |
This profile sits below the typical Purple band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Purple 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: +50pp win rate · +0.06 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 77% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; 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
Strengths
Flashes. 0.77 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 567ms 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 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| office | D | 41 | 12–29 | 29% | -0.03 |
 mirage | B | 24 | 12–12 | 50% | -0.05 |
 dust2 | C | 22 | 8–14 | 36% | -0.04 |
 cache | — | 4 | 2–2 | 50% | -0.01 |
 train | — | 2 | 1–1 | 50% | 0.00 |
 anubis | — | 2 | 1–1 | 50% | -0.04 |
 nuke | — | 2 | 1–1 | 50% | -0.06 |
 inferno | — | 2 | 0–2 | 0% | -0.05 |
 ancient | — | 1 | 0–1 | 0% | -0.10 |
Across the last 100 tracked matches.
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 13.0048% — 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 28.0744% — 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.
36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 6–13 | 0.01 | 10% | 22 Aug → | |
| office | 13–5 | 0.04 | 9% | 22 Aug → | |
| cache | 13–7 | 0.10 | 13% | 22 Aug → | |
| dust2 | 13–9 | -0.02 | 6% | 22 Aug → | |
| office | 13–7 | -0.03 | 7% | 21 Aug → | |
| dust2 | 13–5 | -0.06 | 6% | 21 Aug → | |
| mirage | 13–10 | 0.01 | 12% | 21 Aug → | |
| cache | 13–7 | 0.02 | 13% | 21 Aug → | |
| train | 13–4 | 0.04 | 18% | 14 Aug → | |
| train | 8–13 | -0.03 | 13% | 14 Aug → | |
| dust2 | 11–13 | -0.02 | 16% | 14 Aug → | |
| office | 2–13 | -0.04 | 6% | 14 Aug → | |
| mirage | 13–8 | -0.08 | 13% | 8 Aug → | |
| office | 8–13 | -0.06 | 11% | 8 Aug → | |
| dust2 | 6–13 | -0.06 | 5% | 8 Aug → | |
| mirage | 11–13 | -0.06 | 15% | 1 Aug → | |
| office | 6–13 | -0.08 | 23% | 1 Aug → | |
| dust2 | 13–6 | -0.03 | 19% | 1 Aug → | |
| mirage | 13–9 | -0.01 | 26% | 31 Jul → | |
| office | 9–13 | -0.04 | 12% | 31 Jul → | |
| office | 13–10 | -0.07 | 6% | 27 Jul → | |
| anubis | 13–1 | 0.04 | 24% | 26 Jul → | |
| anubis | 8–13 | -0.12 | 11% | 26 Jul → | |
| dust2 | 11–13 | -0.02 | 23% | 26 Jul → | |
| dust2 | 12–12 | -0.04 | 11% | 26 Jul → | |
| office | 8–13 | -0.02 | 19% | 25 Jul → | |
| dust2 | 13–9 | -0.04 | 19% | 25 Jul → | |
| mirage | 5–0 | -0.01 | 0% | 25 Jul → | |
| office | 10–13 | -0.07 | 7% | 22 Jul → | |
| mirage | 5–13 | -0.06 | 9% | 22 Jul → | |
| mirage | 13–7 | -0.11 | 12% | 22 Jul → | |
| office | 6–13 | -0.04 | 9% | 22 Jul → | |
| office | 7–13 | -0.11 | 31% | 20 Jul → | |
| office | 10–13 | -0.06 | 8% | 20 Jul → | |
| dust2 | 9–13 | -0.08 | 13% | 20 Jul → | |
| mirage | 12–12 | -0.02 | 28% | 20 Jul → | |
| dust2 | 13–3 | -0.00 | 39% | 20 Jul → | |
| office | 13–10 | -0.09 | 16% | 20 Jul → | |
| office | 5–13 | -0.05 | 14% | 19 Jul → | |
| dust2 | 13–5 | -0.02 | 13% | 19 Jul → | |
| mirage | 13–6 | -0.02 | 9% | 19 Jul → | |
| cache | 0–13 | -0.06 | 25% | 19 Jul → | |
| mirage | 13–8 | -0.05 | 16% | 19 Jul → | |
| dust2 | 12–12 | 0.01 | 33% | 19 Jul → | |
| cache | 1–13 | -0.08 | 17% | 17 Jul → | |
| mirage | 12–12 | -0.06 | 10% | 17 Jul → | |
| office | 13–8 | -0.01 | 26% | 17 Jul → | |
| office | 0–13 | -0.06 | 4% | 17 Jul → | |
| mirage | 10–13 | -0.12 | 13% | 17 Jul → | |
| office | 13–1 | 0.06 | 11% | 17 Jul → | |
| office | 12–12 | -0.03 | 22% | 15 Jul → | |
| dust2 | 2–13 | -0.02 | 18% | 15 Jul → | |
| office | 13–4 | 0.02 | 13% | 13 Jul → | |
| office | 13–9 | -0.03 | 15% | 13 Jul → | |
| office | 6–13 | 0.01 | 9% | 12 Jul → | |
| dust2 | 4–13 | -0.00 | 20% | 12 Jul → | |
| dust2 | 2–13 | -0.05 | 21% | 12 Jul → | |
| mirage | 13–5 | -0.03 | 24% | 12 Jul → | |
| nuke | 9–13 | -0.10 | 15% | 10 Jul → | |
| office | 5–13 | -0.09 | 17% | 10 Jul → | |
| dust2 | 9–13 | -0.06 | 15% | 10 Jul → | |
| mirage | 4–13 | -0.04 | 11% | 10 Jul → | |
| office | 13–11 | -0.03 | 12% | 9 Jul → | |
| office | 10–13 | -0.04 | 21% | 9 Jul → | |
| office | 8–13 | -0.05 | 13% | 9 Jul → | |
| mirage | 8–13 | -0.06 | 14% | 8 Jul → | |
| office | 11–13 | -0.06 | 17% | 8 Jul → | |
| office | 4–13 | 0.03 | 10% | 8 Jul → | |
| office | 2–13 | -0.02 | 28% | 8 Jul → | |
| mirage | 13–9 | 0.07 | 17% | 8 Jul → | |
| office | 6–13 | -0.05 | 7% | 8 Jul → | |
| office | 11–13 | -0.01 | 24% | 5 Jul → | |
| mirage | 4–13 | -0.09 | 21% | 5 Jul → | |
| ancient | 9–13 | -0.10 | 8% | 5 Jul → | |
| dust2 | 13–2 | -0.03 | 16% | 5 Jul → | |
| office | 10–13 | -0.02 | 22% | 5 Jul → | |
| mirage | 7–13 | -0.09 | 7% | 5 Jul → | |
| mirage | 13–6 | -0.06 | 26% | 5 Jul → | |
| mirage | 13–11 | -0.11 | 11% | 3 Jul → | |
| office | 13–6 | -0.01 | 13% | 3 Jul → | |
| dust2 | 2–13 | -0.09 | 16% | 3 Jul → | |
| office | 10–13 | -0.01 | 21% | 3 Jul → | |
| mirage | 13–4 | -0.03 | 25% | 3 Jul → | |
| inferno | 3–13 | -0.02 | 38% | 2 Jul → | |
| dust2 | 1–13 | -0.08 | 9% | 2 Jul → | |
| dust2 | 13–7 | 0.00 | 15% | 1 Jul → | |
| office | 9–13 | 0.01 | 13% | 1 Jul → | |
| mirage | 5–13 | -0.07 | 26% | 30 Jun → | |
| office | 12–12 | 0.03 | 9% | 30 Jun → | |
| office | 6–13 | 0.02 | 9% | 28 Jun → | |
| inferno | 8–13 | -0.07 | 9% | 28 Jun → | |
| dust2 | 5–13 | -0.03 | 9% | 28 Jun → | |
| mirage | 9–13 | -0.07 | 18% | 28 Jun → | |
| office | 3–13 | -0.09 | 22% | 28 Jun → | |
| nuke | 13–1 | -0.03 | 33% | 27 Jun → | |
| office | 7–13 | -0.02 | 7% | 27 Jun → | |
| office | 13–8 | -0.08 | 7% | 27 Jun → | |
| dust2 | 11–13 | -0.08 | 21% | 27 Jun → | |
| office | 4–8 | -0.09 | 25% | 27 Jun → | |
| office | 12–12 | -0.01 | 16% | 24 Jun → |
Match data via Leetify.