cangoseven — CS2 Stats
76561198443710008[U:1:483444280]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.00 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 82% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: lower aim profile; lower positioning 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
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 44% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 634ms 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 5.7/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 27 | 16–11 | 59% | -0.03 | |
| A | 23 | 13–10 | 57% | -0.03 | |
| A | 20 | 12–8 | 60% | -0.02 | |
| S | 12 | 8–4 | 67% | -0.01 | |
| C | 5 | 2–3 | 40% | -0.03 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| D | 5 | 1–4 | 20% | -0.01 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| office | — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 36 | 50% | 0.91 | 15.3 |
| Inferno | 23 | 52% | 1.17 | 17.5 |
| Dust2 | 21 | 52% | 0.93 | 16.1 |
| Vertigo | 18 | 28% | 0.80 | 13.8 |
| Ancient | 17 | 59% | 1.18 | 18.0 |
| Overpass | 14 | 36% | 0.88 | 15.0 |
| Nuke | 10 | 30% | 1.04 | 17.5 |
| Anubis | 9 | 44% | 0.69 | 12.3 |
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 12.6908° — 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 14.0276% — 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.
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 | |
|---|---|---|---|---|---|
| 13–9 | 0.02 | 10% | 28 Aug → | ||
| 11–13 | -0.03 | 15% | 27 Aug → | ||
| 13–2 | 0.02 | 18% | 22 Aug → | ||
| 13–6 | -0.01 | 11% | 22 Aug → | ||
| 13–5 | 0.03 | 22% | 22 Aug → | ||
| 3–13 | -0.08 | 17% | 22 Aug → | ||
| 13–8 | -0.01 | 8% | 18 Aug → | ||
| 13–6 | -0.09 | 9% | 18 Aug → | ||
| 15–15 | -0.06 | 23% | 17 Aug → | ||
| 13–1 | 0.02 | 18% | 13 Aug → | ||
| 10–13 | 0.00 | 4% | 7 Aug → | ||
| 9–13 | -0.00 | 19% | 6 Aug → | ||
| 11–13 | -0.05 | 26% | 4 Aug → | ||
| 11–13 | -0.05 | 17% | 4 Aug → | ||
| 15–15 | 0.01 | 8% | 4 Aug → | ||
| 13–9 | -0.02 | 24% | 4 Aug → | ||
| 13–7 | 0.04 | 6% | 3 Aug → | ||
| 5–13 | -0.10 | 9% | 3 Aug → | ||
| 13–10 | -0.05 | 12% | 3 Aug → | ||
| 10–3 | 0.06 | 14% | 1 Aug → | ||
| 16–12 | 0.02 | 19% | 1 Aug → | ||
| 11–13 | -0.04 | 11% | 30 Jul → | ||
| 13–8 | -0.05 | 5% | 30 Jul → | ||
| 10–13 | -0.02 | 14% | 30 Jul → | ||
| 10–13 | -0.00 | 10% | 30 Jul → | ||
| 8–13 | -0.08 | 20% | 29 Jul → | ||
| 13–10 | -0.04 | 7% | 29 Jul → | ||
| 13–9 | 0.04 | 14% | 29 Jul → | ||
| 13–9 | -0.01 | 15% | 29 Jul → | ||
| 11–13 | 0.02 | 14% | 29 Jul → | ||
| 0–13 | -0.09 | 13% | 29 Jul → | ||
| 1–13 | -0.07 | 21% | 28 Jul → | ||
| 11–13 | -0.06 | 20% | 28 Jul → | ||
| 13–11 | 0.00 | 25% | 27 Jul → | ||
| 13–8 | 0.03 | 9% | 27 Jul → | ||
| 13–2 | -0.02 | 4% | 27 Jul → | ||
| 7–13 | -0.04 | 13% | 27 Jul → | ||
| 13–5 | 0.03 | 24% | 27 Jul → | ||
| 13–5 | 0.05 | 12% | 27 Jul → | ||
| 13–7 | 0.00 | 10% | 23 Jul → | ||
| 13–9 | -0.09 | 11% | 23 Jul → | ||
| 13–10 | -0.08 | 14% | 22 Jul → | ||
| 13–5 | 0.04 | 15% | 22 Jul → | ||
| 5–13 | -0.05 | 9% | 22 Jul → | ||
| 13–11 | -0.02 | 15% | 22 Jul → | ||
| 8–13 | 0.01 | 9% | 22 Jul → | ||
| 13–5 | 0.00 | 11% | 22 Jul → | ||
| 13–11 | -0.05 | 17% | 22 Jul → | ||
| 15–15 | 0.02 | 15% | 21 Jul → | ||
| 10–13 | -0.07 | 11% | 21 Jul → | ||
| 13–7 | 0.02 | 19% | 21 Jul → | ||
| 11–13 | -0.00 | 10% | 21 Jul → | ||
| 11–13 | -0.04 | 25% | 20 Jul → | ||
| 13–11 | -0.03 | 17% | 20 Jul → | ||
| 11–13 | -0.01 | 11% | 19 Jul → | ||
| 5–13 | -0.04 | 15% | 19 Jul → | ||
| 13–11 | -0.02 | 18% | 19 Jul → | ||
| 6–13 | -0.00 | 17% | 18 Jul → | ||
| 13–9 | -0.03 | 15% | 18 Jul → | ||
| 11–13 | -0.03 | 18% | 15 Jul → | ||
| 13–6 | 0.00 | 26% | 15 Jul → | ||
| 13–11 | -0.02 | 19% | 15 Jul → | ||
| 13–5 | 0.04 | 29% | 15 Jul → | ||
| 13–10 | -0.02 | 21% | 15 Jul → | ||
| 7–13 | -0.06 | 18% | 14 Jul → | ||
| 9–13 | -0.06 | 13% | 14 Jul → | ||
| 16–12 | -0.06 | 19% | 14 Jul → | ||
| 13–5 | -0.05 | 16% | 14 Jul → | ||
| 10–13 | -0.07 | 14% | 14 Jul → | ||
| 12–16 | -0.01 | 14% | 14 Jul → | ||
| 6–0 | -0.07 | 0% | 14 Jul → | ||
| 13–6 | -0.03 | 15% | 14 Jul → | ||
| 13–5 | -0.02 | 15% | 14 Jul → | ||
| 13–8 | 0.01 | 16% | 14 Jul → | ||
| 13–8 | -0.00 | 27% | 14 Jul → | ||
| 13–8 | -0.03 | 12% | 13 Jul → | ||
| 11–13 | -0.01 | 16% | 13 Jul → | ||
| 8–13 | -0.00 | 19% | 12 Jul → | ||
| 13–16 | 0.02 | 11% | 12 Jul → | ||
| 6–1 | -0.06 | 6% | 12 Jul → | ||
| 2–13 | -0.08 | 30% | 12 Jul → | ||
| 16–12 | 0.02 | 25% | 12 Jul → | ||
| 8–13 | 0.02 | 26% | 11 Jul → | ||
| 6–13 | -0.08 | 14% | 11 Jul → | ||
| 12–16 | 0.00 | 11% | 11 Jul → | ||
| 13–9 | 0.04 | 11% | 11 Jul → | ||
| 13–11 | 0.01 | 19% | 11 Jul → | ||
| 13–8 | 0.03 | 21% | 10 Jul → | ||
| 1–13 | -0.07 | 13% | 10 Jul → | ||
| 6–13 | -0.07 | 14% | 10 Jul → | ||
| 13–7 | -0.02 | 17% | 10 Jul → | ||
| 13–10 | -0.02 | 30% | 10 Jul → | ||
| 13–7 | 0.02 | 21% | 10 Jul → | ||
| 5–13 | -0.07 | 30% | 9 Jul → | ||
| 13–10 | -0.05 | 16% | 9 Jul → | ||
| 14–16 | -0.05 | 24% | 9 Jul → | ||
| 13–8 | 0.04 | 14% | 9 Jul → | ||
| office | 12–12 | -0.03 | 23% | 8 Jul → | |
| 13–4 | -0.05 | 18% | 8 Jul → | ||
| 13–9 | 0.06 | 18% | 7 Jul → |
Match data via Leetify.