GuNdY // 谷归 — CS2 Stats
76561198172116717[U:1:211850989]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 88% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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. 619ms 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 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| C | 17 | 7–10 | 41% | 0.00 | |
| D | 16 | 5–11 | 31% | -0.01 | |
| S | 14 | 10–4 | 71% | 0.02 | |
| C | 11 | 4–7 | 36% | 0.02 | |
| D | 10 | 2–8 | 20% | -0.00 | |
| D | 9 | 3–6 | 33% | 0.01 | |
| S | 9 | 6–3 | 67% | 0.02 | |
| office | D | 9 | 2–7 | 22% | 0.00 |
| — | 2 | 1–1 | 50% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.04 | |
| — | 1 | 1–0 | 100% | 0.02 | |
| shelter | — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 54 | 37% | 0.96 | 15.0 |
| Inferno | 49 | 53% | 1.23 | 15.8 |
| Mirage | 42 | 50% | 1.16 | 16.2 |
| Ancient | 30 | 43% | 0.91 | 14.7 |
| Nuke | 27 | 48% | 1.10 | 16.2 |
| Anubis | 24 | 29% | 1.14 | 16.5 |
| Overpass | 20 | 65% | 1.35 | 19.1 |
| Cache | 10 | 40% | 0.75 | 12.0 |
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 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 9.9059% — 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 33.701% — 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 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | -0.01 | 7% | 27 Aug → | ||
| 5–13 | -0.01 | 14% | 27 Aug → | ||
| 9–13 | 0.02 | 12% | 27 Aug → | ||
| 10–13 | 0.07 | 8% | 27 Aug → | ||
| 13–6 | -0.07 | 10% | 27 Aug → | ||
| 5–13 | 0.01 | 13% | 27 Aug → | ||
| 9–13 | 0.00 | 10% | 25 Aug → | ||
| 13–11 | 0.01 | 10% | 25 Aug → | ||
| 13–11 | 0.06 | 14% | 25 Aug → | ||
| 8–13 | -0.08 | 8% | 25 Aug → | ||
| 3–13 | -0.10 | 5% | 24 Aug → | ||
| 2–13 | -0.04 | 9% | 22 Aug → | ||
| 8–8 | 0.13 | 17% | 22 Aug → | ||
| 6–13 | -0.02 | 9% | 21 Aug → | ||
| 4–13 | -0.01 | 7% | 21 Aug → | ||
| 7–13 | -0.00 | 13% | 21 Aug → | ||
| 11–13 | 0.05 | 14% | 20 Aug → | ||
| 13–6 | 0.04 | 8% | 20 Aug → | ||
| 11–13 | 0.05 | 8% | 20 Aug → | ||
| 6–13 | 0.04 | 10% | 19 Aug → | ||
| 13–6 | 0.20 | 7% | 19 Aug → | ||
| 13–8 | -0.01 | 6% | 19 Aug → | ||
| 4–13 | -0.05 | 7% | 18 Aug → | ||
| 13–9 | -0.00 | 12% | 17 Aug → | ||
| 13–10 | -0.04 | 12% | 17 Aug → | ||
| 13–10 | -0.00 | 12% | 15 Aug → | ||
| 2–13 | -0.04 | 6% | 13 Aug → | ||
| 6–13 | -0.02 | 7% | 12 Aug → | ||
| 13–10 | 0.12 | 7% | 12 Aug → | ||
| 5–13 | -0.07 | 18% | 11 Aug → | ||
| 11–13 | -0.01 | 12% | 10 Aug → | ||
| 10–13 | -0.06 | 6% | 9 Aug → | ||
| 13–6 | 0.12 | 15% | 9 Aug → | ||
| 16–13 | -0.02 | 12% | 9 Aug → | ||
| 13–4 | 0.07 | 12% | 8 Aug → | ||
| 5–13 | -0.03 | 13% | 8 Aug → | ||
| 8–13 | -0.01 | 9% | 8 Aug → | ||
| 10–13 | 0.10 | 11% | 8 Aug → | ||
| office | 13–4 | -0.03 | 11% | 7 Aug → | |
| 13–4 | -0.02 | 32% | 7 Aug → | ||
| 13–6 | 0.03 | 10% | 6 Aug → | ||
| 3–13 | -0.04 | 9% | 6 Aug → | ||
| 2–13 | -0.01 | 21% | 6 Aug → | ||
| 13–11 | 0.03 | 12% | 6 Aug → | ||
| 13–7 | 0.14 | 8% | 5 Aug → | ||
| 1–9 | -0.12 | 8% | 5 Aug → | ||
| 9–6 | 0.02 | 13% | 5 Aug → | ||
| 13–7 | -0.06 | 10% | 1 Aug → | ||
| 9–13 | 0.02 | 25% | 1 Aug → | ||
| 2–13 | -0.00 | 8% | 28 Jul → | ||
| 11–13 | -0.04 | 8% | 26 Jul → | ||
| 13–8 | -0.02 | 9% | 25 Jul → | ||
| 3–13 | 0.01 | 24% | 25 Jul → | ||
| 12–12 | 0.02 | 11% | 24 Jul → | ||
| 2–13 | -0.00 | 0% | 22 Jul → | ||
| office | 10–13 | -0.04 | 15% | 22 Jul → | |
| 13–8 | 0.01 | 18% | 22 Jul → | ||
| 13–10 | 0.02 | 12% | 20 Jul → | ||
| 3–13 | 0.10 | 19% | 20 Jul → | ||
| 13–6 | 0.06 | 5% | 20 Jul → | ||
| 2–13 | -0.06 | 12% | 19 Jul → | ||
| office | 7–13 | 0.06 | 15% | 19 Jul → | |
| 13–9 | -0.03 | 2% | 18 Jul → | ||
| 11–13 | -0.02 | 14% | 17 Jul → | ||
| 11–13 | 0.07 | 19% | 17 Jul → | ||
| 15–15 | -0.00 | 10% | 17 Jul → | ||
| office | 8–13 | 0.03 | 11% | 17 Jul → | |
| 13–4 | 0.05 | 6% | 17 Jul → | ||
| 13–10 | 0.05 | 22% | 17 Jul → | ||
| 9–13 | -0.01 | 7% | 16 Jul → | ||
| 6–13 | -0.02 | 21% | 15 Jul → | ||
| office | 6–13 | 0.04 | 16% | 15 Jul → | |
| office | 12–12 | -0.05 | 12% | 15 Jul → | |
| 11–13 | 0.01 | 6% | 15 Jul → | ||
| 13–3 | 0.03 | 9% | 15 Jul → | ||
| 5–13 | 0.03 | 24% | 15 Jul → | ||
| 10–13 | 0.00 | 26% | 14 Jul → | ||
| 8–13 | -0.02 | 13% | 14 Jul → | ||
| 9–13 | -0.04 | 9% | 14 Jul → | ||
| 7–1 | 0.02 | 17% | 14 Jul → | ||
| 10–3 | 0.03 | 10% | 14 Jul → | ||
| 5–13 | 0.04 | 7% | 14 Jul → | ||
| 5–13 | -0.05 | 9% | 14 Jul → | ||
| 13–11 | 0.03 | 16% | 14 Jul → | ||
| shelter | 6–13 | 0.04 | 7% | 14 Jul → | |
| 3–13 | -0.06 | 25% | 11 Jul → | ||
| 5–13 | -0.06 | 9% | 10 Jul → | ||
| 13–8 | 0.06 | 14% | 10 Jul → | ||
| 13–8 | -0.04 | 13% | 9 Jul → | ||
| 13–6 | 0.02 | 16% | 9 Jul → | ||
| 2–13 | -0.06 | 17% | 9 Jul → | ||
| 13–10 | -0.02 | 9% | 9 Jul → | ||
| 13–8 | 0.11 | 9% | 8 Jul → | ||
| office | 13–7 | 0.02 | 20% | 8 Jul → | |
| office | 12–12 | -0.03 | 10% | 8 Jul → | |
| 13–9 | 0.05 | 8% | 8 Jul → | ||
| 8–13 | -0.02 | 31% | 8 Jul → | ||
| 13–7 | 0.02 | 28% | 7 Jul → | ||
| 13–11 | -0.00 | 8% | 7 Jul → | ||
| office | 6–6 | 0.02 | 30% | 7 Jul → |
Match data via Leetify.
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