kaktus333g — CS2 Stats
76561198083740681[U:1:123474953]
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=862), 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 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 31.3% | 44.9% | 46.2% | 14.9% short |
| Shot accuracy | 10.7% | 11.8% | 12.5% | 1.8% short |
| Kill/death ratio | 0.95 | 1.04 | 1.06 | 0.11 short |
| Match win rate | 43.7% | 45.3% | 45.9% | 2.2% short |
This profile sits below the typical Level 7 player on every metric we can compare.
Widest gap: Headshot rate. That is the metric furthest from the Level 7 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: +40pp win rate · +0.02 avg rating
Player DNA
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 71% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: lower positioning profile; 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. 615ms 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 4.1/10 (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 |
|---|---|---|---|---|---|
 mirage | B | 31 | 15–16 | 48% | -0.04 |
 nuke | A | 20 | 12–8 | 60% | -0.01 |
 inferno | D | 12 | 3–9 | 25% | -0.01 |
 dust2 | C | 9 | 4–5 | 44% | -0.04 |
 anubis | A | 7 | 4–3 | 57% | -0.02 |
 train | B | 6 | 3–3 | 50% | 0.01 |
 ancient | A | 5 | 3–2 | 60% | -0.00 |
 cache | — | 3 | 0–3 | 0% | -0.05 |
 overpass | — | 3 | 2–1 | 67% | -0.05 |
| jura | — | 3 | 2–1 | 67% | -0.00 |
| agency | — | 1 | 1–0 | 100% | -0.09 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (25% over 12). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 28 | 54% | 0.89 | 15.3 |
| Nuke | 27 | 59% | 1.07 | 14.2 |
| Inferno | 12 | 25% | 0.90 | 11.3 |
| Dust2 | 12 | 33% | 0.81 | 11.6 |
| Train | 9 | 100% | 1.09 | 16.6 |
| Ancient | 6 | 17% | 0.76 | 16.5 |
| Anubis | 5 | 40% | 0.67 | 11.0 |
| Vertigo | 1 | 100% | 0.71 | 10.0 |
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 12.0204° — 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 10.2057% — 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.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 2–13 | -0.06 | 7% | 18 Aug → | |
| cache | 7–13 | -0.03 | 11% | 18 Aug → | |
| anubis | 13–3 | -0.01 | 11% | 18 Aug → | |
| mirage | 13–2 | 0.09 | 11% | 18 Aug → | |
| mirage | 13–7 | -0.01 | 3% | 11 Aug → | |
| inferno | 7–13 | -0.04 | 18% | 11 Aug → | |
| mirage | 5–13 | -0.15 | 6% | 10 Aug → | |
| nuke | 13–10 | -0.02 | 10% | 10 Aug → | |
| mirage | 13–8 | -0.03 | 11% | 10 Aug → | |
| nuke | 13–10 | 0.02 | 14% | 4 Aug → | |
| cache | 12–12 | -0.04 | 16% | 10 Jun → | |
| inferno | 10–13 | -0.08 | 7% | 10 Jun → | |
| nuke | 6–13 | -0.08 | 7% | 10 Jun → | |
| cache | 11–13 | -0.07 | 8% | 19 May → | |
| nuke | 8–13 | -0.04 | 6% | 19 May → | |
| anubis | 14–16 | -0.01 | 8% | 19 May → | |
| anubis | 13–9 | -0.08 | 11% | 8 Apr → | |
| mirage | 8–13 | -0.03 | 10% | 8 Apr → | |
| nuke | 13–7 | -0.01 | 10% | 30 Nov → | |
| mirage | 12–16 | -0.04 | 6% | 29 Nov → | |
| inferno | 4–13 | -0.05 | 11% | 29 Nov → | |
| ancient | 13–10 | -0.01 | 19% | 13 Nov → | |
| nuke | 13–4 | 0.03 | 4% | 13 Nov → | |
| mirage | 13–0 | 0.10 | 7% | 13 Nov → | |
| ancient | 13–9 | 0.04 | 12% | 16 Oct → | |
| mirage | 13–11 | -0.05 | 9% | 16 Oct → | |
| overpass | 7–13 | -0.05 | 12% | 16 Oct → | |
| overpass | 13–8 | 0.02 | 17% | 10 Oct → | |
| overpass | 13–6 | -0.13 | 5% | 11 Sept → | |
| dust2 | 13–5 | 0.00 | 17% | 11 Sept → | |
| train | 13–9 | -0.00 | 14% | 11 Sept → | |
| mirage | 13–7 | 0.01 | 7% | 20 Jul → | |
| train | 13–3 | 0.03 | 8% | 20 Jul → | |
| anubis | 5–13 | 0.06 | 8% | 13 Jul → | |
| nuke | 13–5 | 0.03 | 30% | 13 Jul → | |
| train | 13–16 | -0.03 | 9% | 13 Jul → | |
| mirage | 8–13 | -0.04 | 11% | 11 Jul → | |
| train | 10–13 | -0.03 | 8% | 11 Jul → | |
| nuke | 13–6 | -0.05 | 3% | 3 Jul → | |
| inferno | 6–13 | -0.02 | 13% | 3 Jul → | |
| mirage | 1–13 | -0.08 | 10% | 3 Jul → | |
| anubis | 13–4 | -0.07 | 9% | 29 Jun → | |
| anubis | 8–13 | -0.04 | 7% | 29 Jun → | |
| inferno | 15–15 | -0.03 | 4% | 22 Jun → | |
| nuke | 8–13 | -0.04 | 13% | 22 Jun → | |
| train | 4–13 | -0.00 | 10% | 21 Jun → | |
| nuke | 11–13 | -0.01 | 19% | 20 Jun → | |
| mirage | 5–13 | -0.08 | 9% | 12 Jun → | |
| agency | 13–11 | -0.09 | 10% | 12 Jun → | |
| nuke | 13–6 | 0.02 | 4% | 9 Jun → | |
| nuke | 13–8 | -0.04 | 3% | 8 Jun → | |
| nuke | 14–16 | -0.04 | 5% | 8 Jun → | |
| mirage | 2–13 | -0.06 | 12% | 7 Jun → | |
| jura | 13–9 | 0.04 | 11% | 7 Jun → | |
| jura | 4–13 | -0.02 | 8% | 7 Jun → | |
| mirage | 13–11 | -0.05 | 10% | 6 Jun → | |
| inferno | 9–2 | 0.14 | 13% | 3 Jun → | |
| mirage | 13–2 | -0.03 | 4% | 1 Jun → | |
| mirage | 22–20 | -0.00 | 11% | 1 Jun → | |
| ancient | 9–13 | 0.02 | 4% | 10 May → | |
| dust2 | 9–13 | -0.04 | 18% | 10 May → | |
| ancient | 13–8 | -0.05 | 10% | 10 May → | |
| jura | 13–11 | -0.03 | 7% | 8 May → | |
| mirage | 5–13 | -0.02 | 11% | 26 Apr → | |
| nuke | 8–13 | -0.07 | 8% | 26 Apr → | |
| inferno | 5–13 | -0.03 | 7% | 24 Apr → | |
| mirage | 13–9 | -0.03 | 17% | 24 Apr → | |
| nuke | 13–5 | 0.02 | 11% | 24 Apr → | |
| mirage | 13–8 | -0.02 | 11% | 24 Apr → | |
| mirage | 7–13 | -0.05 | 3% | 23 Apr → | |
| mirage | 8–13 | -0.05 | 12% | 23 Apr → | |
| dust2 | 13–9 | -0.01 | 5% | 23 Apr → | |
| anubis | 13–6 | -0.01 | 10% | 22 Apr → | |
| dust2 | 1–2 | -0.19 | 25% | 20 Apr → | |
| nuke | 8–13 | -0.05 | 10% | 19 Apr → | |
| mirage | 13–5 | -0.06 | 6% | 19 Apr → | |
| inferno | 13–4 | -0.02 | 18% | 18 Apr → | |
| dust2 | 13–5 | 0.04 | 13% | 18 Apr → | |
| mirage | 10–13 | -0.08 | 6% | 18 Apr → | |
| dust2 | 13–10 | -0.01 | 9% | 17 Apr → | |
| mirage | 10–13 | -0.05 | 26% | 17 Apr → | |
| train | 13–8 | 0.07 | 9% | 17 Apr → | |
| mirage | 13–8 | -0.01 | 10% | 14 Apr → | |
| dust2 | 5–13 | -0.09 | 12% | 14 Apr → | |
| mirage | 12–16 | -0.06 | 7% | 14 Apr → | |
| inferno | 7–13 | -0.06 | 7% | 14 Apr → | |
| mirage | 9–13 | -0.09 | 5% | 13 Apr → | |
| nuke | 13–10 | 0.02 | 14% | 13 Apr → | |
| dust2 | 5–13 | -0.06 | 16% | 13 Apr → | |
| inferno | 7–13 | -0.04 | 11% | 13 Apr → | |
| mirage | 13–7 | 0.02 | 13% | 13 Apr → | |
| inferno | 9–1 | 0.17 | 14% | 10 Apr → | |
| mirage | 13–4 | -0.03 | 15% | 10 Apr → | |
| nuke | 13–10 | 0.11 | 15% | 10 Apr → | |
| nuke | 9–13 | -0.02 | 7% | 5 Apr → | |
| mirage | 10–13 | -0.08 | 8% | 5 Apr → | |
| dust2 | 12–12 | -0.03 | 19% | 5 Apr → | |
| inferno | 12–12 | -0.02 | 10% | 5 Apr → | |
| ancient | 3–13 | -0.02 | 18% | 31 Mar → | |
| nuke | 13–4 | 0.05 | 15% | 31 Mar → |
Match data via Leetify.