Inquisitor — CS2 Stats
76561198082356810[U:1:122091082]
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 | Level 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 32.8% | 42.5% | 44.2% | 11.3% short |
| Shot accuracy | 11.6% | 10.9% | 11.2% | above |
| Kill/death ratio | 0.80 | 0.99 | 1.04 | 0.24 short |
| Match win rate | 39.8% | 44.2% | 45.3% | 5.5% short |
This profile matches the typical Level 5 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 5 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: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Effective flashesReliable in 1v1s
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 88% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
Flashes. 0.86 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 602ms 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 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | C | 33 | 14–19 | 42% | -0.03 |
 cache | C | 23 | 8–15 | 35% | -0.04 |
 anubis | D | 14 | 4–10 | 29% | -0.03 |
 dust2 | C | 13 | 5–8 | 38% | -0.05 |
 train | A | 10 | 6–4 | 60% | -0.04 |
 ancient | — | 3 | 1–2 | 33% | -0.06 |
 overpass | — | 2 | 1–1 | 50% | -0.06 |
 mirage | — | 1 | 1–0 | 100% | -0.08 |
 vertigo | — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (29% over 14). 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 2 | 0% | 0.36 | 6.0 |
| Anubis | 2 | 100% | 0.82 | 14.0 |
| Vertigo | 1 | 0% | 0.28 | 5.0 |
| Dust2 | 1 | 0% | 0.27 | 6.0 |
| Overpass | 1 | 0% | 0.94 | 16.0 |
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.2085° — above the 12° mark we flag
- 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 14.9203% — below the 15% 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 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–5 | 0.08 | 0% | 27 Aug → | |
| dust2 | 2–13 | -0.07 | 15% | 26 Aug → | |
| inferno | 12–12 | -0.01 | 14% | 25 Aug → | |
| mirage | 13–3 | -0.08 | 20% | 25 Aug → | |
| inferno | 13–8 | -0.02 | 21% | 23 Aug → | |
| cache | 13–9 | -0.01 | 23% | 23 Aug → | |
| anubis | 13–11 | -0.03 | 5% | 16 Aug → | |
| cache | 10–13 | -0.01 | 22% | 16 Aug → | |
| inferno | 9–13 | -0.02 | 19% | 16 Aug → | |
| cache | 2–13 | -0.07 | 41% | 15 Aug → | |
| dust2 | 11–13 | -0.04 | 26% | 15 Aug → | |
| inferno | 12–12 | -0.02 | 7% | 15 Aug → | |
| anubis | 10–13 | -0.04 | 13% | 10 Aug → | |
| train | 13–9 | -0.04 | 16% | 10 Aug → | |
| train | 13–11 | -0.04 | 4% | 9 Aug → | |
| inferno | 13–9 | -0.05 | 5% | 9 Aug → | |
| cache | 13–3 | -0.01 | 23% | 9 Aug → | |
| inferno | 11–13 | -0.03 | 7% | 9 Aug → | |
| inferno | 11–13 | -0.01 | 25% | 29 Jul → | |
| anubis | 6–13 | -0.06 | 8% | 29 Jul → | |
| inferno | 8–13 | -0.06 | 22% | 29 Jul → | |
| inferno | 13–9 | -0.07 | 16% | 29 Jul → | |
| ancient | 9–13 | -0.08 | 6% | 28 Jul → | |
| inferno | 13–4 | -0.01 | 20% | 28 Jul → | |
| cache | 13–10 | -0.06 | 9% | 28 Jul → | |
| dust2 | 11–13 | -0.07 | 11% | 20 Jul → | |
| inferno | 16–14 | -0.07 | 20% | 20 Jul → | |
| cache | 9–13 | -0.07 | 7% | 20 Jul → | |
| anubis | 9–13 | -0.02 | 17% | 6 Jul → | |
| inferno | 8–13 | -0.02 | 13% | 5 Jul → | |
| anubis | 8–13 | -0.05 | 13% | 5 Jul → | |
| cache | 4–13 | -0.09 | 4% | 3 Jul → | |
| inferno | 10–13 | -0.08 | 5% | 1 Jul → | |
| dust2 | 12–12 | -0.06 | 13% | 1 Jul → | |
| train | 6–13 | -0.03 | 0% | 29 Jun → | |
| anubis | 13–8 | 0.04 | 6% | 28 Jun → | |
| train | 9–13 | 0.01 | 7% | 28 Jun → | |
| inferno | 13–3 | -0.00 | 0% | 28 Jun → | |
| cache | 13–4 | 0.03 | 14% | 28 Jun → | |
| inferno | 13–8 | -0.05 | 7% | 24 Jun → | |
| overpass | 11–13 | -0.08 | 22% | 24 Jun → | |
| cache | 13–5 | -0.11 | 0% | 24 Jun → | |
| dust2 | 13–8 | -0.03 | 25% | 24 Jun → | |
| train | 12–12 | -0.05 | 6% | 23 Jun → | |
| inferno | 13–8 | 0.02 | 33% | 23 Jun → | |
| anubis | 5–13 | 0.02 | 0% | 23 Jun → | |
| overpass | 13–6 | -0.04 | 12% | 23 Jun → | |
| inferno | 8–13 | 0.02 | 11% | 22 Jun → | |
| dust2 | 13–8 | -0.04 | 19% | 22 Jun → | |
| inferno | 13–10 | -0.02 | 8% | 21 Jun → | |
| dust2 | 13–9 | -0.02 | 18% | 21 Jun → | |
| cache | 8–13 | -0.03 | 17% | 21 Jun → | |
| train | 2–13 | -0.04 | 16% | 16 Jun → | |
| cache | 4–13 | -0.00 | 10% | 16 Jun → | |
| ancient | 13–9 | -0.03 | 9% | 15 Jun → | |
| cache | 12–12 | -0.03 | 9% | 15 Jun → | |
| train | 13–5 | -0.08 | 5% | 15 Jun → | |
| cache | 12–12 | -0.03 | 10% | 14 Jun → | |
| inferno | 9–13 | 0.04 | 14% | 14 Jun → | |
| vertigo | 2–13 | -0.05 | 7% | 13 Jun → | |
| inferno | 11–13 | -0.01 | 9% | 13 Jun → | |
| cache | 12–12 | 0.00 | 11% | 13 Jun → | |
| train | 13–11 | -0.04 | 8% | 9 Jun → | |
| anubis | 13–1 | 0.04 | 13% | 9 Jun → | |
| cache | 13–7 | -0.03 | 12% | 9 Jun → | |
| inferno | 13–6 | -0.04 | 18% | 4 Jun → | |
| train | 13–7 | -0.07 | 19% | 3 Jun → | |
| cache | 12–12 | -0.10 | 13% | 3 Jun → | |
| inferno | 6–13 | -0.04 | 9% | 3 Jun → | |
| ancient | 3–13 | -0.07 | 14% | 2 Jun → | |
| dust2 | 5–13 | -0.03 | 13% | 2 Jun → | |
| cache | 12–12 | 0.00 | 30% | 2 Jun → | |
| anubis | 7–13 | -0.09 | 20% | 28 May → | |
| inferno | 10–13 | -0.06 | 20% | 28 May → | |
| inferno | 8–13 | -0.04 | 22% | 27 May → | |
| anubis | 12–12 | 0.02 | 13% | 27 May → | |
| dust2 | 7–13 | -0.05 | 0% | 27 May → | |
| dust2 | 8–13 | -0.08 | 11% | 26 May → | |
| anubis | 10–13 | -0.04 | 18% | 26 May → | |
| inferno | 13–9 | 0.04 | 25% | 26 May → | |
| anubis | 11–13 | -0.07 | 15% | 21 May → | |
| inferno | 8–13 | -0.05 | 13% | 21 May → | |
| cache | 13–2 | -0.04 | 11% | 21 May → | |
| dust2 | 13–3 | -0.02 | 11% | 21 May → | |
| inferno | 8–13 | -0.02 | 25% | 17 May → | |
| dust2 | 13–11 | -0.10 | 21% | 17 May → | |
| cache | 13–1 | 0.05 | 4% | 17 May → | |
| cache | 12–12 | -0.05 | 18% | 4 May → | |
| inferno | 13–3 | -0.05 | 17% | 4 May → | |
| cache | 9–13 | -0.11 | 22% | 29 Apr → | |
| cache | 3–13 | -0.07 | 36% | 29 Apr → | |
| cache | 5–13 | -0.08 | 22% | 29 Apr → | |
| anubis | 11–13 | -0.08 | 30% | 28 Apr → | |
| dust2 | 8–13 | -0.03 | 15% | 28 Apr → | |
| train | 13–8 | -0.05 | 7% | 28 Apr → | |
| inferno | 4–13 | -0.08 | 38% | 28 Apr → | |
| inferno | 14–16 | -0.01 | 25% | 28 Apr → | |
| inferno | 3–13 | -0.05 | 50% | 27 Apr → | |
| inferno | 13–4 | -0.07 | 16% | 23 Apr → | |
| anubis | 13–7 | -0.05 | 0% | 23 Apr → |
Match data via Leetify.
