Mckenzie — CS2 Stats
76561198318457601[U:1:358191873]✓ 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 |
|---|---|---|
| Headshot rate | 28.4% | 48.1% |
| Shot accuracy | 13.8% | 12.9% |
| Kill/death ratio | 1.03 | 1.08 |
| Match win rate | 43.5% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.00 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 84% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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. 550ms 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 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | B | 40 | 21–19 | 53% | 0.01 |
 mirage | C | 23 | 10–13 | 43% | 0.00 |
 nuke | A | 9 | 5–4 | 56% | 0.00 |
 cache | B | 8 | 4–4 | 50% | 0.01 |
 inferno | D | 6 | 1–5 | 17% | -0.04 |
 anubis | S | 6 | 4–2 | 67% | 0.04 |
 ancient | C | 5 | 2–3 | 40% | -0.01 |
 train | — | 2 | 1–1 | 50% | -0.03 |
| office | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno 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
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 13.2071% — 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 32.7907% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 2–10 | -0.01 | 13% | 28 Aug → | |
| dust2 | 12–12 | 0.04 | 10% | 24 Aug → | |
| dust2 | 13–7 | -0.03 | 17% | 23 Aug → | |
| dust2 | 13–5 | 0.03 | 12% | 22 Aug → | |
| dust2 | 13–8 | 0.05 | 21% | 22 Aug → | |
| inferno | 4–13 | -0.02 | 11% | 19 Aug → | |
| mirage | 6–13 | -0.10 | 10% | 17 Aug → | |
| mirage | 16–14 | -0.05 | 6% | 17 Aug → | |
| anubis | 13–9 | 0.01 | 21% | 16 Aug → | |
| ancient | 10–13 | 0.03 | 14% | 16 Aug → | |
| dust2 | 13–10 | -0.07 | 11% | 15 Aug → | |
| mirage | 13–8 | 0.02 | 5% | 15 Aug → | |
| dust2 | 13–8 | 0.05 | 20% | 15 Aug → | |
| dust2 | 14–16 | -0.02 | 17% | 15 Aug → | |
| dust2 | 13–5 | 0.04 | 18% | 15 Aug → | |
| mirage | 13–7 | -0.03 | 25% | 15 Aug → | |
| nuke | 9–13 | -0.05 | 12% | 15 Aug → | |
| cache | 7–13 | 0.02 | 10% | 15 Aug → | |
| dust2 | 1–13 | -0.05 | 11% | 15 Aug → | |
| mirage | 8–13 | 0.01 | 9% | 15 Aug → | |
| train | 9–13 | -0.03 | 10% | 12 Aug → | |
| nuke | 13–11 | -0.09 | 13% | 10 Aug → | |
| dust2 | 13–11 | -0.02 | 17% | 10 Aug → | |
| nuke | 8–13 | -0.01 | 14% | 10 Aug → | |
| nuke | 13–8 | 0.04 | 11% | 8 Aug → | |
| mirage | 15–15 | -0.00 | 14% | 8 Aug → | |
| dust2 | 13–7 | -0.01 | 19% | 8 Aug → | |
| nuke | 13–16 | -0.04 | 10% | 8 Aug → | |
| ancient | 16–14 | -0.06 | 4% | 7 Aug → | |
| dust2 | 3–13 | 0.04 | 12% | 7 Aug → | |
| mirage | 7–13 | -0.02 | 14% | 7 Aug → | |
| mirage | 13–9 | 0.01 | 15% | 7 Aug → | |
| dust2 | 13–4 | -0.00 | 18% | 6 Aug → | |
| dust2 | 3–0 | 0.02 | 14% | 6 Aug → | |
| inferno | 10–13 | -0.03 | 5% | 4 Aug → | |
| dust2 | 13–9 | 0.04 | 14% | 3 Aug → | |
| dust2 | 15–15 | -0.01 | 7% | 2 Aug → | |
| anubis | 13–8 | 0.06 | 13% | 2 Aug → | |
| mirage | 15–15 | -0.04 | 15% | 2 Aug → | |
| cache | 16–14 | 0.04 | 19% | 2 Aug → | |
| ancient | 13–8 | -0.03 | 7% | 2 Aug → | |
| dust2 | 9–13 | -0.03 | 6% | 2 Aug → | |
| cache | 13–7 | -0.05 | 12% | 2 Aug → | |
| ancient | 4–13 | -0.06 | 5% | 2 Aug → | |
| anubis | 8–13 | 0.09 | 16% | 1 Aug → | |
| dust2 | 13–10 | 0.02 | 7% | 1 Aug → | |
| ancient | 8–9 | 0.06 | 16% | 31 Jul → | |
| dust2 | 11–13 | -0.06 | 9% | 28 Jul → | |
| dust2 | 10–13 | -0.01 | 12% | 28 Jul → | |
| dust2 | 13–6 | 0.05 | 16% | 27 Jul → | |
| dust2 | 6–13 | 0.00 | 15% | 27 Jul → | |
| mirage | 8–13 | -0.00 | 19% | 22 Jul → | |
| nuke | 13–6 | 0.05 | 12% | 22 Jul → | |
| mirage | 7–13 | -0.04 | 16% | 21 Jul → | |
| dust2 | 13–6 | 0.03 | 15% | 21 Jul → | |
| dust2 | 13–2 | 0.09 | 22% | 20 Jul → | |
| cache | 10–13 | 0.06 | 16% | 17 Jul → | |
| dust2 | 13–11 | 0.09 | 13% | 12 Jul → | |
| dust2 | 5–13 | -0.05 | 11% | 12 Jul → | |
| inferno | 5–13 | -0.03 | 32% | 12 Jul → | |
| mirage | 13–7 | 0.10 | 16% | 8 Jul → | |
| dust2 | 8–13 | 0.01 | 13% | 7 Jul → | |
| cache | 13–6 | 0.05 | 15% | 6 Jul → | |
| train | 4–0 | -0.02 | 25% | 6 Jul → | |
| dust2 | 6–13 | -0.01 | 13% | 6 Jul → | |
| office | 6–13 | -0.04 | 0% | 5 Jul → | |
| mirage | 13–11 | 0.01 | 22% | 4 Jul → | |
| anubis | 13–6 | 0.04 | 10% | 4 Jul → | |
| mirage | 5–13 | 0.01 | 22% | 4 Jul → | |
| nuke | 11–13 | 0.02 | 19% | 3 Jul → | |
| cache | 11–13 | -0.03 | 11% | 3 Jul → | |
| inferno | 8–13 | -0.03 | 13% | 2 Jul → | |
| mirage | 9–13 | 0.00 | 11% | 29 Jun → | |
| dust2 | 6–13 | -0.04 | 14% | 27 Jun → | |
| mirage | 5–10 | -0.03 | 12% | 23 Jun → | |
| mirage | 13–11 | 0.03 | 22% | 19 Jun → | |
| mirage | 13–8 | 0.06 | 15% | 19 Jun → | |
| dust2 | 10–13 | 0.03 | 35% | 18 Jun → | |
| anubis | 11–13 | 0.03 | 10% | 16 Jun → | |
| inferno | 13–10 | -0.03 | 12% | 16 Jun → | |
| anubis | 13–11 | -0.02 | 8% | 16 Jun → | |
| cache | 13–8 | 0.05 | 14% | 16 Jun → | |
| nuke | 13–7 | 0.12 | 22% | 15 Jun → | |
| dust2 | 13–1 | 0.02 | 17% | 15 Jun → | |
| dust2 | 10–13 | 0.00 | 10% | 15 Jun → | |
| nuke | 13–7 | -0.04 | 15% | 14 Jun → | |
| dust2 | 13–8 | 0.01 | 30% | 14 Jun → | |
| dust2 | 13–1 | 0.02 | 16% | 14 Jun → | |
| dust2 | 13–10 | 0.01 | 17% | 14 Jun → | |
| cache | 0–13 | -0.04 | 13% | 14 Jun → | |
| dust2 | 5–13 | -0.02 | 15% | 11 Jun → | |
| mirage | 7–13 | 0.02 | 10% | 11 Jun → | |
| mirage | 13–7 | -0.00 | 12% | 11 Jun → | |
| dust2 | 11–13 | 0.06 | 19% | 11 Jun → | |
| dust2 | 12–12 | 0.04 | 26% | 11 Jun → | |
| mirage | 6–13 | -0.01 | 16% | 11 Jun → | |
| dust2 | 9–13 | -0.01 | 19% | 3 Jun → | |
| mirage | 13–5 | 0.10 | 15% | 2 Jun → | |
| dust2 | 13–6 | -0.02 | 23% | 2 Jun → | |
| inferno | 12–12 | -0.08 | 21% | 1 Jun → |
Match data via Leetify.
