CalCtuG — CS2 Stats
76561198089978484[U:1:129712756]✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), 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 | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 41.9% | 47.2% | 49.9% | 8.0% short |
| Shot accuracy | 13.0% | 12.7% | 13.4% | 0.4% short |
| Kill/death ratio | 0.92 | 1.09 | 1.12 | 0.20 short |
| Match win rate | 42.3% | 46.6% | 48.4% | 6.1% short |
This profile sits below the typical Red band player on every metric we can compare.
Widest gap: Kill/death ratio. That is the metric furthest from the Red 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: Passive Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafingLimited 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 78% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: lower positioning profile; lower utility contribution.
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
Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 45 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 723ms 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 5.0/10 (Developing), 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 | C | 27 | 11–16 | 41% | -0.02 |
 mirage | B | 15 | 7–8 | 47% | -0.02 |
 cache | A | 12 | 7–5 | 58% | -0.02 |
 inferno | D | 10 | 3–7 | 30% | -0.02 |
 train | D | 8 | 2–6 | 25% | -0.02 |
 nuke | D | 7 | 1–6 | 14% | -0.04 |
| office | D | 7 | 2–5 | 29% | -0.01 |
 anubis | C | 7 | 3–4 | 43% | -0.01 |
 ancient | — | 4 | 2–2 | 50% | 0.03 |
 vertigo | — | 2 | 1–1 | 50% | -0.01 |
| italy | — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 21 | 48% | 0.94 | 14.1 |
| Dust2 | 21 | 52% | 1.12 | 11.9 |
| Cache | 16 | 50% | 0.99 | 13.4 |
| Inferno | 15 | 47% | 0.76 | 12.9 |
| Anubis | 7 | 57% | 0.80 | 15.1 |
| Nuke | 3 | 67% | 0.68 | 13.0 |
| Ancient | 2 | 50% | 0.75 | 10.5 |
| Overpass | 1 | 100% | 1.30 | 35.0 |
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 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 723.1565ms — above the 700ms 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 23.594% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 3–10 | -0.06 | 14% | 29 Aug → | |
| dust2 | 12–12 | 0.11 | 22% | 28 Aug → | |
| mirage | 10–13 | -0.07 | 11% | 23 Aug → | |
| nuke | 4–13 | -0.04 | 17% | 23 Aug → | |
| mirage | 1–13 | -0.04 | 13% | 22 Aug → | |
| dust2 | 15–15 | 0.02 | 18% | 22 Aug → | |
| dust2 | 13–6 | -0.06 | 25% | 21 Aug → | |
| train | 12–12 | -0.08 | 31% | 21 Aug → | |
| mirage | 6–13 | 0.02 | 17% | 21 Aug → | |
| dust2 | 1–8 | -0.04 | 33% | 21 Aug → | |
| cache | 7–13 | -0.08 | 15% | 21 Aug → | |
| ancient | 15–15 | 0.05 | 22% | 20 Aug → | |
| mirage | 13–6 | -0.02 | 13% | 20 Aug → | |
| nuke | 16–13 | 0.02 | 29% | 20 Aug → | |
| dust2 | 0–13 | -0.06 | 36% | 20 Aug → | |
| vertigo | 10–13 | -0.06 | 8% | 20 Aug → | |
| train | 5–13 | -0.02 | 20% | 20 Aug → | |
| inferno | 1–13 | -0.07 | 14% | 20 Aug → | |
| cache | 16–14 | 0.07 | 18% | 19 Aug → | |
| nuke | 9–13 | -0.10 | 27% | 19 Aug → | |
| mirage | 13–10 | -0.05 | 11% | 19 Aug → | |
| dust2 | 9–13 | -0.00 | 16% | 19 Aug → | |
| office | 9–13 | -0.01 | 36% | 19 Aug → | |
| cache | 16–14 | -0.04 | 16% | 19 Aug → | |
| dust2 | 11–13 | -0.04 | 18% | 19 Aug → | |
| ancient | 13–6 | 0.10 | 21% | 19 Aug → | |
| inferno | 4–13 | 0.00 | 22% | 19 Aug → | |
| dust2 | 6–13 | -0.05 | 7% | 19 Aug → | |
| train | 13–5 | 0.01 | 26% | 18 Aug → | |
| anubis | 4–13 | -0.02 | 12% | 17 Aug → | |
| train | 1–3 | -0.02 | 100% | 17 Aug → | |
| inferno | 4–13 | -0.04 | 23% | 17 Aug → | |
| mirage | 13–5 | 0.02 | 16% | 17 Aug → | |
| cache | 4–13 | -0.00 | 11% | 17 Aug → | |
| dust2 | 4–13 | -0.10 | 30% | 17 Aug → | |
| mirage | 13–9 | -0.02 | 21% | 17 Aug → | |
| office | 9–13 | -0.02 | 32% | 16 Aug → | |
| dust2 | 13–8 | 0.00 | 9% | 16 Aug → | |
| mirage | 8–13 | -0.08 | 13% | 15 Aug → | |
| anubis | 6–9 | -0.00 | 22% | 15 Aug → | |
| anubis | 13–8 | 0.05 | 22% | 15 Aug → | |
| inferno | 8–13 | -0.01 | 14% | 15 Aug → | |
| nuke | 7–13 | -0.03 | 23% | 15 Aug → | |
| dust2 | 13–4 | 0.03 | 16% | 14 Aug → | |
| dust2 | 13–6 | -0.01 | 26% | 14 Aug → | |
| cache | 13–7 | -0.00 | 26% | 14 Aug → | |
| dust2 | 12–12 | -0.02 | 15% | 13 Aug → | |
| mirage | 11–13 | -0.06 | 12% | 13 Aug → | |
| train | 6–13 | -0.04 | 43% | 13 Aug → | |
| dust2 | 4–13 | -0.06 | 13% | 12 Aug → | |
| cache | 13–7 | 0.01 | 16% | 12 Aug → | |
| mirage | 13–3 | 0.02 | 12% | 12 Aug → | |
| nuke | 9–13 | -0.06 | 19% | 12 Aug → | |
| dust2 | 13–8 | -0.01 | 24% | 12 Aug → | |
| inferno | 13–11 | -0.00 | 20% | 12 Aug → | |
| mirage | 7–13 | -0.06 | 30% | 12 Aug → | |
| nuke | 0–4 | -0.05 | 25% | 12 Aug → | |
| nuke | 5–13 | -0.04 | 23% | 12 Aug → | |
| office | 13–9 | -0.02 | 19% | 11 Aug → | |
| dust2 | 1–13 | -0.04 | 0% | 11 Aug → | |
| ancient | 10–13 | -0.03 | 9% | 11 Aug → | |
| cache | 13–3 | 0.01 | 32% | 11 Aug → | |
| mirage | 13–3 | 0.01 | 25% | 11 Aug → | |
| ancient | 13–10 | -0.00 | 18% | 11 Aug → | |
| cache | 13–8 | -0.08 | 12% | 11 Aug → | |
| train | 1–13 | -0.08 | 20% | 11 Aug → | |
| cache | 0–13 | -0.10 | 67% | 11 Aug → | |
| office | 2–13 | -0.07 | 25% | 11 Aug → | |
| inferno | 8–13 | -0.03 | 36% | 11 Aug → | |
| anubis | 13–11 | 0.02 | 18% | 10 Aug → | |
| dust2 | 13–6 | -0.06 | 21% | 10 Aug → | |
| train | 13–2 | 0.09 | 9% | 10 Aug → | |
| office | 13–10 | 0.02 | 11% | 10 Aug → | |
| mirage | 1–5 | -0.00 | 36% | 10 Aug → | |
| dust2 | 13–9 | 0.07 | 13% | 10 Aug → | |
| cache | 8–13 | -0.06 | 9% | 9 Aug → | |
| dust2 | 13–9 | 0.00 | 21% | 9 Aug → | |
| anubis | 2–13 | -0.05 | 17% | 9 Aug → | |
| vertigo | 13–9 | 0.03 | 24% | 9 Aug → | |
| dust2 | 13–11 | -0.03 | 15% | 8 Aug → | |
| inferno | 6–8 | 0.02 | 11% | 7 Aug → | |
| office | 7–13 | 0.07 | 22% | 7 Aug → | |
| dust2 | 6–13 | 0.03 | 18% | 7 Aug → | |
| mirage | 13–5 | 0.08 | 20% | 6 Aug → | |
| inferno | 13–11 | 0.01 | 20% | 6 Aug → | |
| italy | 13–10 | 0.02 | 15% | 5 Aug → | |
| office | 3–13 | -0.03 | 29% | 5 Aug → | |
| dust2 | 3–13 | 0.01 | 5% | 5 Aug → | |
| mirage | 9–13 | -0.03 | 11% | 5 Aug → | |
| dust2 | 13–8 | 0.02 | 23% | 4 Aug → | |
| anubis | 13–9 | -0.01 | 17% | 4 Aug → | |
| inferno | 3–13 | -0.03 | 25% | 3 Aug → | |
| train | 10–13 | -0.01 | 22% | 3 Aug → | |
| inferno | 16–14 | -0.04 | 20% | 3 Aug → | |
| dust2 | 13–8 | -0.04 | 20% | 2 Aug → | |
| cache | 13–6 | 0.04 | 15% | 1 Aug → | |
| cache | 17–19 | -0.05 | 20% | 1 Aug → | |
| dust2 | 4–13 | -0.04 | 20% | 29 Jul → | |
| anubis | 7–13 | -0.04 | 34% | 29 Jul → | |
| dust2 | 5–13 | -0.05 | 17% | 28 Jul → |
Match data via Leetify.