Tinsel — CS2 Stats
76561198395631967[U:1:435366239]✓ No bans
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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited 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 87% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: 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
Areas to improve
Positioning. Positioning trails aim by 32 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. 582ms 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 5.4/10 (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 |
|---|---|---|---|---|---|
| D | 18 | 5–13 | 28% | 0.00 | |
| C | 13 | 5–8 | 38% | 0.00 | |
| A | 11 | 6–5 | 55% | 0.05 | |
| S | 10 | 7–3 | 70% | 0.05 | |
| D | 10 | 3–7 | 30% | -0.01 | |
| C | 8 | 3–5 | 38% | -0.00 | |
| B | 8 | 4–4 | 50% | 0.02 | |
| office | S | 7 | 5–2 | 71% | 0.03 |
| D | 6 | 2–4 | 33% | 0.00 | |
| S | 6 | 4–2 | 67% | 0.01 | |
| — | 3 | 2–1 | 67% | -0.01 |
Across the last 100 tracked matches.
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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 20 | 45% | 1.03 | 15.3 |
| Dust2 | 14 | 64% | 0.90 | 14.8 |
| Nuke | 12 | 42% | 1.11 | 16.3 |
| Inferno | 11 | 100% | 1.48 | 16.8 |
| Anubis | 9 | 33% | 1.18 | 21.2 |
| Overpass | 7 | 57% | 0.99 | 17.0 |
| Cache | 7 | 57% | 1.49 | 18.0 |
| Ancient | 7 | 43% | 1.04 | 15.4 |
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 14.259% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3887 — below the 0.5 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 32.4521% — 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.
28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.03 | 17% | 27 Aug → | ||
| 13–5 | 0.03 | 13% | 27 Aug → | ||
| 9–13 | 0.08 | 13% | 27 Aug → | ||
| 13–10 | 0.06 | 10% | 26 Aug → | ||
| 12–12 | -0.00 | 11% | 26 Aug → | ||
| 10–13 | -0.01 | 28% | 22 Aug → | ||
| 12–12 | -0.02 | 7% | 22 Aug → | ||
| 13–9 | -0.03 | 8% | 22 Aug → | ||
| 10–13 | -0.02 | 12% | 22 Aug → | ||
| 13–8 | 0.07 | 16% | 12 Aug → | ||
| 13–11 | 0.11 | 22% | 12 Aug → | ||
| 3–13 | 0.02 | 10% | 12 Aug → | ||
| 13–0 | -0.03 | 11% | 12 Aug → | ||
| 13–5 | -0.01 | 15% | 11 Aug → | ||
| 10–13 | -0.00 | 13% | 6 Aug → | ||
| 13–10 | 0.02 | 13% | 6 Aug → | ||
| office | 13–10 | -0.03 | 3% | 6 Aug → | |
| 6–0 | 0.03 | 21% | 6 Aug → | ||
| 13–11 | 0.08 | 15% | 6 Aug → | ||
| 12–12 | 0.02 | 14% | 5 Aug → | ||
| 4–13 | -0.06 | 25% | 5 Aug → | ||
| 9–13 | 0.08 | 15% | 5 Aug → | ||
| 12–12 | -0.02 | 27% | 5 Aug → | ||
| 9–13 | -0.01 | 6% | 5 Aug → | ||
| office | 12–12 | 0.15 | 7% | 5 Aug → | |
| 13–4 | -0.02 | 8% | 5 Aug → | ||
| 11–13 | 0.02 | 29% | 4 Aug → | ||
| 8–13 | -0.03 | 13% | 4 Aug → | ||
| 13–10 | -0.01 | 18% | 4 Aug → | ||
| 9–13 | 0.01 | 11% | 4 Aug → | ||
| 8–13 | -0.11 | 12% | 30 Jul → | ||
| 13–8 | 0.08 | 17% | 30 Jul → | ||
| 13–2 | 0.01 | 18% | 30 Jul → | ||
| 6–13 | -0.04 | 22% | 30 Jul → | ||
| 7–13 | 0.02 | 15% | 30 Jul → | ||
| 3–13 | -0.09 | 0% | 25 Jul → | ||
| 2–13 | -0.01 | 9% | 25 Jul → | ||
| office | 13–9 | 0.02 | 25% | 8 Jul → | |
| office | 13–6 | -0.01 | 12% | 8 Jul → | |
| office | 13–4 | 0.08 | 0% | 7 Jul → | |
| 13–6 | 0.07 | 17% | 7 Jul → | ||
| 8–1 | 0.02 | 11% | 7 Jul → | ||
| 13–4 | 0.05 | 9% | 7 Jul → | ||
| 3–13 | -0.07 | 11% | 7 Jul → | ||
| 2–9 | -0.02 | 10% | 2 Jul → | ||
| 13–2 | 0.09 | 18% | 2 Jul → | ||
| 8–13 | -0.00 | 12% | 2 Jul → | ||
| 14–16 | 0.03 | 17% | 2 Jul → | ||
| 13–7 | 0.08 | 10% | 2 Jul → | ||
| office | 13–7 | 0.05 | 20% | 2 Jul → | |
| 13–6 | 0.03 | 21% | 2 Jul → | ||
| 5–13 | -0.02 | 11% | 1 Jul → | ||
| 13–7 | 0.03 | 14% | 30 Jun → | ||
| 13–7 | -0.05 | 6% | 24 Jun → | ||
| 8–13 | 0.05 | 16% | 24 Jun → | ||
| 9–13 | -0.03 | 9% | 24 Jun → | ||
| 11–13 | -0.00 | 6% | 23 Jun → | ||
| 13–9 | 0.05 | 16% | 23 Jun → | ||
| 13–4 | 0.00 | 11% | 23 Jun → | ||
| 7–13 | -0.05 | 11% | 23 Jun → | ||
| 13–10 | -0.02 | 13% | 23 Jun → | ||
| 9–13 | 0.01 | 16% | 23 Jun → | ||
| 13–6 | 0.02 | 16% | 23 Jun → | ||
| 11–13 | -0.05 | 10% | 23 Jun → | ||
| 15–15 | 0.01 | 15% | 18 Jun → | ||
| 7–13 | -0.00 | 7% | 18 Jun → | ||
| 5–13 | -0.00 | 8% | 18 Jun → | ||
| 13–1 | 0.21 | 10% | 18 Jun → | ||
| 13–11 | 0.04 | 11% | 18 Jun → | ||
| 8–13 | -0.00 | 17% | 18 Jun → | ||
| office | 10–13 | -0.01 | 10% | 18 Jun → | |
| 13–2 | 0.21 | 30% | 18 Jun → | ||
| 7–13 | -0.01 | 19% | 18 Jun → | ||
| 10–13 | -0.05 | 6% | 17 Jun → | ||
| 13–1 | 0.05 | 0% | 17 Jun → | ||
| 9–13 | -0.08 | 3% | 16 Jun → | ||
| 8–13 | -0.06 | 9% | 16 Jun → | ||
| 13–8 | -0.02 | 11% | 16 Jun → | ||
| 5–13 | -0.01 | 10% | 14 Jun → | ||
| 7–13 | -0.03 | 14% | 14 Jun → | ||
| 9–13 | 0.02 | 10% | 13 Jun → | ||
| 7–13 | -0.02 | 16% | 13 Jun → | ||
| 5–13 | -0.02 | 20% | 10 Jun → | ||
| 13–4 | -0.00 | 24% | 10 Jun → | ||
| 13–11 | 0.05 | 17% | 10 Jun → | ||
| 16–13 | 0.04 | 9% | 10 Jun → | ||
| 12–12 | 0.02 | 7% | 10 Jun → | ||
| 13–10 | 0.07 | 11% | 9 Jun → | ||
| 5–13 | 0.02 | 22% | 9 Jun → | ||
| 12–12 | 0.04 | 11% | 3 Jun → | ||
| 11–13 | 0.04 | 9% | 3 Jun → | ||
| 13–6 | 0.09 | 14% | 3 Jun → | ||
| 9–13 | 0.02 | 14% | 1 Jun → | ||
| 11–13 | -0.07 | 17% | 1 Jun → | ||
| 13–6 | 0.07 | 13% | 1 Jun → | ||
| 15–15 | -0.02 | 10% | 31 May → | ||
| 16–12 | 0.03 | 24% | 31 May → | ||
| 13–3 | 0.10 | 43% | 31 May → | ||
| 13–7 | 0.06 | 9% | 31 May → | ||
| 10–13 | -0.05 | 9% | 31 May → |
Match data via Leetify.