Yahzoos — CS2 Stats
76561198084142503[U:1:123876775]
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 | 46.1% | 48.1% | 2.0% short |
| Shot accuracy | 16.8% | 12.9% | above |
| Kill/death ratio | 0.94 | 1.08 | 0.14 short |
| Match win rate | 37.2% | 46.5% | 9.3% short |
This profile matches the typical Pink band player on 1 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: -30pp win rate · -0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 76% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
Reaction time. 607ms 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 5.2/10 (Developing), 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 | 17 | 8–9 | 47% | 0.04 |
 mirage | B | 14 | 7–7 | 50% | -0.01 |
 cache | S | 13 | 10–3 | 77% | -0.00 |
 inferno | D | 12 | 4–8 | 33% | 0.01 |
| office | S | 10 | 8–2 | 80% | 0.01 |
 ancient | B | 8 | 4–4 | 50% | 0.01 |
 anubis | D | 7 | 2–5 | 29% | -0.01 |
 vertigo | S | 6 | 4–2 | 67% | 0.05 |
 dust2 | A | 5 | 3–2 | 60% | 0.01 |
 train | — | 3 | 2–1 | 67% | -0.02 |
 overpass | — | 3 | 1–2 | 33% | -0.02 |
| shelter | — | 1 | 0–1 | 0% | -0.02 |
| sanctum | — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLW
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
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 14.6487% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4265 — below the 0.5 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 25.743% — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 7–13 | -0.05 | 17% | 28 Aug → | |
| office | 13–9 | 0.04 | 14% | 27 Aug → | |
| inferno | 13–7 | 0.02 | 19% | 27 Aug → | |
| ancient | 7–13 | 0.01 | 11% | 27 Aug → | |
| ancient | 13–9 | 0.01 | 28% | 27 Aug → | |
| ancient | 13–1 | 0.09 | 15% | 15 Aug → | |
| inferno | 6–13 | -0.05 | 7% | 15 Aug → | |
| nuke | 5–13 | 0.02 | 8% | 15 Aug → | |
| cache | 10–13 | 0.03 | 25% | 15 Aug → | |
| ancient | 5–13 | -0.04 | 13% | 15 Aug → | |
| vertigo | 13–2 | 0.10 | 8% | 30 Jul → | |
| mirage | 14–16 | -0.01 | 13% | 30 Jul → | |
| dust2 | 13–11 | -0.00 | 16% | 26 Jul → | |
| inferno | 3–13 | 0.02 | 13% | 26 Jul → | |
| cache | 13–6 | -0.02 | 14% | 26 Jul → | |
| cache | 13–11 | -0.01 | 22% | 25 Jul → | |
| nuke | 13–6 | 0.11 | 11% | 25 Jul → | |
| inferno | 6–13 | 0.00 | 15% | 25 Jul → | |
| dust2 | 13–4 | 0.05 | 19% | 25 Jul → | |
| mirage | 13–9 | -0.04 | 7% | 14 Jul → | |
| cache | 13–3 | 0.08 | 14% | 12 Jul → | |
| nuke | 13–4 | 0.01 | 21% | 12 Jul → | |
| mirage | 13–10 | 0.01 | 12% | 12 Jul → | |
| inferno | 13–3 | 0.08 | 17% | 12 Jul → | |
| mirage | 1–13 | -0.05 | 11% | 12 Jul → | |
| mirage | 13–9 | 0.01 | 15% | 12 Jul → | |
| cache | 13–9 | -0.06 | 13% | 12 Jul → | |
| cache | 13–9 | -0.00 | 9% | 12 Jul → | |
| train | 13–8 | -0.02 | 15% | 12 Jul → | |
| mirage | 13–5 | 0.01 | 13% | 12 Jul → | |
| office | 13–11 | 0.03 | 25% | 12 Jul → | |
| shelter | 9–13 | -0.02 | 22% | 11 Jul → | |
| office | 13–4 | -0.04 | 23% | 11 Jul → | |
| cache | 13–10 | -0.02 | 25% | 11 Jul → | |
| nuke | 6–13 | -0.06 | 13% | 11 Jul → | |
| cache | 11–13 | 0.02 | 18% | 11 Jul → | |
| cache | 13–6 | -0.02 | 8% | 11 Jul → | |
| vertigo | 13–8 | 0.03 | 20% | 8 Jul → | |
| office | 13–10 | 0.07 | 24% | 8 Jul → | |
| office | 13–8 | 0.06 | 19% | 8 Jul → | |
| vertigo | 3–13 | -0.03 | 14% | 4 Jul → | |
| cache | 13–9 | -0.05 | 6% | 3 Jul → | |
| office | 1–7 | -0.06 | 13% | 3 Jul → | |
| cache | 7–13 | -0.00 | 22% | 3 Jul → | |
| nuke | 5–13 | 0.07 | 24% | 3 Jul → | |
| anubis | 5–13 | 0.01 | 7% | 3 Jul → | |
| ancient | 16–12 | -0.00 | 12% | 3 Jul → | |
| office | 13–8 | -0.03 | 17% | 3 Jul → | |
| office | 0–2 | -0.01 | 100% | 3 Jul → | |
| sanctum | 8–8 | -0.05 | 22% | 30 Jun → | |
| mirage | 7–13 | -0.05 | 11% | 30 Jun → | |
| nuke | 4–13 | -0.01 | 23% | 30 Jun → | |
| anubis | 16–14 | -0.03 | 13% | 28 Jun → | |
| vertigo | 13–7 | -0.03 | 15% | 28 Jun → | |
| vertigo | 13–1 | 0.08 | 10% | 28 Jun → | |
| office | 13–7 | 0.02 | 15% | 28 Jun → | |
| train | 12–12 | -0.06 | 21% | 28 Jun → | |
| office | 13–11 | 0.04 | 15% | 28 Jun → | |
| vertigo | 12–12 | 0.14 | 19% | 28 Jun → | |
| cache | 13–7 | 0.05 | 11% | 28 Jun → | |
| cache | 13–9 | -0.02 | 22% | 28 Jun → | |
| nuke | 13–5 | 0.04 | 27% | 26 Jun → | |
| mirage | 5–13 | -0.10 | 13% | 26 Jun → | |
| mirage | 13–3 | -0.03 | 22% | 26 Jun → | |
| nuke | 13–10 | 0.05 | 17% | 25 Jun → | |
| inferno | 13–9 | -0.00 | 15% | 25 Jun → | |
| dust2 | 11–13 | -0.02 | 13% | 25 Jun → | |
| inferno | 11–13 | -0.00 | 16% | 24 Jun → | |
| nuke | 13–2 | 0.20 | 11% | 24 Jun → | |
| overpass | 1–13 | -0.05 | 16% | 24 Jun → | |
| inferno | 10–13 | 0.02 | 20% | 24 Jun → | |
| mirage | 13–9 | -0.01 | 14% | 10 Jun → | |
| anubis | 2–13 | -0.05 | 12% | 10 Jun → | |
| nuke | 8–13 | 0.00 | 9% | 10 Jun → | |
| mirage | 8–13 | 0.02 | 10% | 9 Jun → | |
| overpass | 5–13 | -0.04 | 15% | 9 Jun → | |
| ancient | 11–13 | 0.04 | 12% | 9 Jun → | |
| inferno | 13–11 | 0.09 | 19% | 8 Jun → | |
| nuke | 15–15 | 0.04 | 25% | 8 Jun → | |
| anubis | 5–13 | 0.01 | 9% | 8 Jun → | |
| nuke | 13–11 | 0.03 | 20% | 7 Jun → | |
| anubis | 13–10 | 0.02 | 21% | 7 Jun → | |
| dust2 | 6–13 | -0.01 | 24% | 7 Jun → | |
| anubis | 7–13 | 0.01 | 7% | 6 Jun → | |
| mirage | 4–13 | 0.02 | 11% | 6 Jun → | |
| nuke | 11–13 | 0.02 | 13% | 6 Jun → | |
| overpass | 16–14 | 0.03 | 14% | 4 Jun → | |
| ancient | 13–16 | -0.04 | 9% | 4 Jun → | |
| nuke | 13–1 | 0.03 | 18% | 4 Jun → | |
| ancient | 13–5 | 0.02 | 11% | 3 Jun → | |
| nuke | 13–11 | 0.03 | 20% | 3 Jun → | |
| mirage | 4–13 | 0.04 | 11% | 3 Jun → | |
| mirage | 16–12 | -0.02 | 6% | 3 Jun → | |
| dust2 | 13–5 | 0.03 | 8% | 2 Jun → | |
| inferno | 6–13 | 0.03 | 18% | 2 Jun → | |
| nuke | 9–13 | 0.00 | 20% | 31 May → | |
| train | 13–8 | 0.02 | 15% | 31 May → | |
| anubis | 1–13 | -0.08 | 20% | 31 May → | |
| inferno | 10–13 | -0.01 | 10% | 30 May → | |
| nuke | 10–13 | 0.03 | 20% | 30 May → |
Match data via Leetify.