Mc Tale — CS2 Stats
FI76561198012508536[U:1:52242808]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=5,002), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 36.7% | 44.2% | 47.1% | 10.4% short |
| Shot accuracy | 17.2% | 11.6% | 12.8% | above |
| Kill/death ratio | 1.26 | 1.03 | 1.08 | above |
| Match win rate | 48.4% | 45.2% | 46.6% | above |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
Widest gap: Headshot 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.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.03 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
High utility contribution
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 Twistzz 81% playstyle similarity
Most alike: utility contribution, opening-duel success.
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
Strengths
Utility. Utility score of 77 — grenade impact well above the norm.
Areas to improve
Reaction time. 565ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.3/10 (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 |
|---|---|---|---|---|---|
 inferno | B | 22 | 11–11 | 50% | 0.00 |
 nuke | C | 19 | 7–12 | 37% | 0.01 |
 ancient | B | 13 | 6–7 | 46% | 0.02 |
 mirage | C | 12 | 5–7 | 42% | 0.01 |
 dust2 | A | 9 | 5–4 | 56% | -0.03 |
 anubis | A | 9 | 5–4 | 56% | 0.02 |
 cache | A | 7 | 4–3 | 57% | -0.01 |
 overpass | D | 5 | 1–4 | 20% | -0.01 |
 train | — | 3 | 3–0 | 100% | 0.01 |
| golden | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (20% 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 15 | 67% | 1.57 | 18.0 |
| Inferno | 12 | 75% | 1.32 | 13.3 |
| Nuke | 11 | 55% | 1.52 | 17.6 |
| Anubis | 7 | 71% | 1.24 | 15.7 |
| Dust2 | 6 | 83% | 1.34 | 22.2 |
| Overpass | 5 | 60% | 0.92 | 13.2 |
| Mirage | 3 | 33% | 1.51 | 20.0 |
| Train | 3 | 67% | 1.99 | 17.7 |
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 13.7787% — 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 33.5038% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 3–13 | -0.01 | 14% | 29 Aug → | |
| nuke | 5–13 | -0.03 | 9% | 28 Aug → | |
| inferno | 8–13 | -0.01 | 20% | 27 Aug → | |
| mirage | 13–8 | 0.04 | 15% | 27 Aug → | |
| nuke | 13–3 | 0.01 | 13% | 27 Aug → | |
| dust2 | 2–13 | -0.06 | 6% | 27 Aug → | |
| nuke | 14–16 | -0.01 | 18% | 27 Aug → | |
| nuke | 13–6 | 0.07 | 16% | 26 Aug → | |
| ancient | 13–7 | -0.02 | 14% | 26 Aug → | |
| anubis | 9–13 | 0.01 | 8% | 26 Aug → | |
| cache | 6–13 | -0.09 | 3% | 26 Aug → | |
| anubis | 13–9 | -0.01 | 8% | 26 Aug → | |
| mirage | 10–13 | -0.05 | 20% | 25 Aug → | |
| dust2 | 16–13 | -0.06 | 11% | 25 Aug → | |
| inferno | 5–13 | -0.00 | 21% | 25 Aug → | |
| dust2 | 13–6 | -0.01 | 10% | 25 Aug → | |
| anubis | 16–14 | 0.01 | 10% | 25 Aug → | |
| cache | 6–2 | -0.07 | 8% | 25 Aug → | |
| ancient | 1–13 | -0.04 | 25% | 25 Aug → | |
| nuke | 13–3 | 0.04 | 16% | 25 Aug → | |
| inferno | 10–13 | -0.05 | 9% | 24 Aug → | |
| inferno | 1–13 | 0.01 | 24% | 24 Aug → | |
| nuke | 9–13 | -0.03 | 17% | 24 Aug → | |
| inferno | 13–5 | 0.02 | 27% | 24 Aug → | |
| nuke | 10–13 | -0.03 | 21% | 24 Aug → | |
| dust2 | 13–10 | 0.02 | 8% | 24 Aug → | |
| ancient | 11–13 | 0.05 | 12% | 22 Aug → | |
| inferno | 16–14 | -0.01 | 7% | 22 Aug → | |
| nuke | 0–13 | -0.05 | 14% | 22 Aug → | |
| cache | 15–15 | 0.03 | 16% | 13 Aug → | |
| dust2 | 4–13 | -0.08 | 19% | 11 Aug → | |
| anubis | 16–14 | -0.00 | 13% | 11 Aug → | |
| cache | 13–5 | -0.02 | 13% | 10 Aug → | |
| cache | 13–5 | 0.11 | 21% | 10 Aug → | |
| anubis | 10–13 | 0.01 | 9% | 10 Aug → | |
| cache | 13–5 | 0.04 | 28% | 9 Aug → | |
| ancient | 13–6 | 0.06 | 16% | 9 Aug → | |
| mirage | 4–13 | -0.02 | 16% | 9 Aug → | |
| mirage | 4–13 | -0.01 | 20% | 7 Aug → | |
| anubis | 8–13 | 0.04 | 8% | 7 Aug → | |
| inferno | 7–13 | -0.05 | 12% | 7 Aug → | |
| nuke | 13–6 | -0.06 | 10% | 7 Aug → | |
| cache | 9–13 | -0.06 | 16% | 7 Aug → | |
| inferno | 11–13 | 0.01 | 3% | 2 Aug → | |
| anubis | 13–11 | 0.09 | 7% | 31 Jul → | |
| ancient | 7–13 | -0.02 | 22% | 14 Jul → | |
| nuke | 13–10 | 0.00 | 13% | 11 Jul → | |
| ancient | 13–4 | 0.06 | 15% | 2 Jul → | |
| nuke | 9–13 | 0.11 | 13% | 11 Apr → | |
| anubis | 3–13 | -0.01 | 16% | 11 Apr → | |
| ancient | 6–13 | -0.02 | 17% | 11 Apr → | |
| anubis | 13–5 | 0.00 | 10% | 11 Apr → | |
| overpass | 10–13 | -0.03 | 10% | 11 Apr → | |
| mirage | 13–7 | -0.04 | 7% | 23 Jan → | |
| dust2 | 11–13 | -0.04 | 14% | 14 Jan → | |
| dust2 | 9–13 | -0.02 | 20% | 10 Jan → | |
| inferno | 3–13 | 0.00 | 11% | 6 Jan → | |
| golden | 0–5 | 0.03 | 50% | 6 Jan → | |
| nuke | 9–13 | 0.04 | 17% | 31 Dec → | |
| nuke | 14–16 | 0.01 | 16% | 31 Dec → | |
| ancient | 13–7 | 0.07 | 21% | 31 Dec → | |
| nuke | 4–13 | -0.05 | 5% | 30 Dec → | |
| dust2 | 13–9 | 0.02 | 13% | 30 Dec → | |
| overpass | 10–13 | -0.04 | 12% | 30 Dec → | |
| dust2 | 13–8 | -0.07 | 21% | 30 Dec → | |
| train | 13–11 | 0.05 | 8% | 30 Dec → | |
| inferno | 13–6 | 0.08 | 27% | 30 Dec → | |
| inferno | 13–6 | 0.02 | 19% | 28 Dec → | |
| ancient | 8–13 | 0.01 | 7% | 28 Dec → | |
| nuke | 16–13 | 0.05 | 16% | 28 Dec → | |
| mirage | 10–13 | -0.01 | 24% | 26 Dec → | |
| inferno | 13–7 | 0.06 | 10% | 25 Dec → | |
| ancient | 13–7 | 0.08 | 9% | 25 Dec → | |
| mirage | 13–4 | 0.04 | 11% | 23 Dec → | |
| inferno | 13–9 | 0.03 | 22% | 22 Dec → | |
| mirage | 13–8 | 0.02 | 16% | 22 Dec → | |
| mirage | 2–13 | -0.04 | 13% | 22 Dec → | |
| inferno | 8–13 | -0.04 | 18% | 22 Dec → | |
| overpass | 1–13 | -0.04 | 21% | 22 Dec → | |
| ancient | 11–13 | -0.02 | 11% | 21 Dec → | |
| nuke | 11–13 | -0.02 | 23% | 21 Dec → | |
| overpass | 15–15 | 0.03 | 10% | 21 Dec → | |
| inferno | 7–13 | -0.02 | 26% | 7 Dec → | |
| train | 13–7 | -0.03 | 11% | 30 Nov → | |
| mirage | 8–13 | 0.10 | 19% | 23 Nov → | |
| overpass | 13–11 | 0.01 | 18% | 23 Nov → | |
| inferno | 11–13 | 0.01 | 22% | 23 Nov → | |
| mirage | 13–11 | 0.02 | 16% | 8 Nov → | |
| nuke | 9–13 | 0.01 | 8% | 24 Oct → | |
| inferno | 6–13 | 0.03 | 23% | 6 Oct → | |
| inferno | 13–9 | -0.03 | 13% | 5 Oct → | |
| nuke | 8–13 | -0.02 | 10% | 5 Oct → | |
| mirage | 8–13 | 0.01 | 30% | 5 Oct → | |
| inferno | 13–11 | -0.03 | 20% | 3 Oct → | |
| train | 13–2 | 0.01 | 6% | 2 Oct → | |
| inferno | 13–7 | 0.04 | 20% | 2 Oct → | |
| ancient | 13–7 | 0.07 | 17% | 1 Oct → | |
| inferno | 13–6 | -0.04 | 7% | 1 Oct → | |
| nuke | 13–6 | 0.08 | 24% | 1 Oct → | |
| inferno | 13–6 | -0.01 | 23% | 30 Sept → |
Match data via Leetify.
