OlsenTF — CS2 Stats
76561198065131753[U:1:104866025]
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimer
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 92% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: higher opening-fight frequency.
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
Aim. Aim score of 86 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 34 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.
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 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 22 | 9–13 | 41% | 0.01 | |
| A | 20 | 12–8 | 60% | 0.02 | |
| A | 20 | 12–8 | 60% | 0.01 | |
| S | 11 | 8–3 | 73% | 0.04 | |
| D | 5 | 1–4 | 20% | 0.04 | |
| D | 5 | 1–4 | 20% | 0.02 | |
| A | 5 | 3–2 | 60% | 0.05 | |
| — | 4 | 3–1 | 75% | 0.00 | |
| — | 4 | 0–4 | 0% | 0.01 | |
| — | 4 | 3–1 | 75% | -0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 459 | 51% | 1.10 | 16.2 |
| Inferno | 418 | 50% | 1.17 | 16.4 |
| Nuke | 382 | 59% | 1.27 | 16.9 |
| Train | 140 | 53% | 1.29 | 15.8 |
| Anubis | 121 | 37% | 1.07 | 15.6 |
| Overpass | 116 | 49% | 1.15 | 16.3 |
| Vertigo | 87 | 49% | 1.11 | 15.9 |
| Mirage | 52 | 27% | 1.01 | 14.6 |
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.
- 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 0.4794 — 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 33.9822% — 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 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.00 | 18% | 28 Aug → | ||
| 13–5 | -0.02 | 21% | 22 Aug → | ||
| 9–13 | -0.04 | 16% | 21 Aug → | ||
| 5–13 | -0.01 | 16% | 20 Aug → | ||
| 13–9 | -0.09 | 24% | 20 Aug → | ||
| 13–5 | 0.02 | 11% | 20 Aug → | ||
| 13–10 | 0.00 | 12% | 20 Aug → | ||
| 19–15 | 0.02 | 23% | 17 Aug → | ||
| 11–13 | -0.02 | 27% | 17 Aug → | ||
| 9–13 | -0.03 | 16% | 16 Aug → | ||
| 6–13 | 0.05 | 23% | 14 Aug → | ||
| 8–13 | -0.02 | 17% | 14 Aug → | ||
| 10–13 | -0.06 | 10% | 13 Aug → | ||
| 9–13 | -0.03 | 25% | 13 Aug → | ||
| 13–8 | 0.06 | 7% | 12 Aug → | ||
| 13–6 | 0.04 | 28% | 12 Aug → | ||
| 3–13 | -0.04 | 20% | 12 Aug → | ||
| 7–13 | -0.08 | 10% | 11 Aug → | ||
| 13–10 | 0.06 | 35% | 4 Aug → | ||
| 10–13 | 0.00 | 18% | 4 Aug → | ||
| 13–9 | 0.05 | 22% | 4 Aug → | ||
| 7–13 | -0.05 | 40% | 30 Jul → | ||
| 13–8 | 0.02 | 6% | 30 Jul → | ||
| 11–13 | -0.01 | 35% | 30 Jul → | ||
| 13–9 | 0.02 | 23% | 30 Jul → | ||
| 13–10 | -0.01 | 25% | 28 Jul → | ||
| 8–13 | -0.06 | 27% | 28 Jul → | ||
| 13–6 | 0.00 | 24% | 23 Jul → | ||
| 13–4 | 0.08 | 37% | 17 Jul → | ||
| 8–13 | 0.02 | 16% | 16 Jul → | ||
| 13–5 | 0.06 | 15% | 14 Jul → | ||
| 15–19 | -0.03 | 17% | 14 Jul → | ||
| 13–9 | 0.03 | 15% | 14 Jul → | ||
| 2–9 | -0.24 | 31% | 14 Jul → | ||
| 8–13 | -0.03 | 23% | 11 Jul → | ||
| 13–7 | 0.08 | 15% | 7 Jul → | ||
| 9–13 | 0.08 | 26% | 5 Jul → | ||
| 13–10 | -0.02 | 29% | 5 Jul → | ||
| 13–6 | 0.10 | 18% | 2 Jul → | ||
| 13–0 | 0.15 | 18% | 2 Jul → | ||
| 9–13 | -0.01 | 15% | 2 Jul → | ||
| 12–16 | 0.01 | 14% | 2 Jul → | ||
| 13–6 | 0.14 | 22% | 30 Jun → | ||
| 8–13 | -0.01 | 29% | 30 Jun → | ||
| 12–16 | 0.01 | 17% | 30 Jun → | ||
| 13–7 | 0.01 | 15% | 26 Jun → | ||
| 13–8 | 0.06 | 15% | 26 Jun → | ||
| 10–13 | 0.00 | 22% | 26 Jun → | ||
| 13–10 | 0.02 | 5% | 26 Jun → | ||
| 5–13 | 0.03 | 16% | 25 Jun → | ||
| 13–6 | 0.10 | 35% | 25 Jun → | ||
| 13–6 | 0.02 | 23% | 25 Jun → | ||
| 16–12 | 0.04 | 23% | 25 Jun → | ||
| 13–2 | 0.06 | 30% | 24 Jun → | ||
| 13–1 | 0.02 | 28% | 24 Jun → | ||
| 3–13 | 0.01 | 31% | 23 Jun → | ||
| 13–3 | 0.02 | 22% | 23 Jun → | ||
| 11–13 | 0.01 | 21% | 23 Jun → | ||
| 4–1 | 0.01 | 36% | 23 Jun → | ||
| 13–16 | 0.00 | 21% | 23 Jun → | ||
| 4–13 | 0.02 | 28% | 23 Jun → | ||
| 12–12 | 0.10 | 13% | 23 Jun → | ||
| 5–13 | 0.02 | 27% | 21 Jun → | ||
| 13–4 | 0.10 | 20% | 18 Jun → | ||
| 11–13 | 0.05 | 24% | 18 Jun → | ||
| 13–9 | 0.07 | 32% | 18 Jun → | ||
| 13–11 | 0.03 | 20% | 18 Jun → | ||
| 12–16 | 0.13 | 21% | 12 Jun → | ||
| 10–13 | 0.04 | 17% | 12 Jun → | ||
| 13–4 | 0.10 | 23% | 12 Jun → | ||
| 13–9 | 0.00 | 23% | 11 Jun → | ||
| 7–13 | -0.03 | 24% | 11 Jun → | ||
| 13–3 | 0.05 | 13% | 11 Jun → | ||
| 12–16 | 0.01 | 14% | 11 Jun → | ||
| 16–13 | -0.01 | 7% | 11 Jun → | ||
| 13–8 | 0.10 | 25% | 9 Jun → | ||
| 13–11 | -0.03 | 20% | 9 Jun → | ||
| 4–13 | -0.04 | 16% | 4 Jun → | ||
| 13–6 | -0.03 | 27% | 4 Jun → | ||
| 13–7 | 0.02 | 18% | 4 Jun → | ||
| 19–16 | 0.06 | 25% | 3 Jun → | ||
| 13–4 | 0.09 | 20% | 2 Jun → | ||
| 9–13 | 0.06 | 16% | 2 Jun → | ||
| 8–13 | -0.03 | 9% | 2 Jun → | ||
| 8–13 | -0.03 | 11% | 1 Jun → | ||
| 13–5 | 0.04 | 25% | 28 May → | ||
| 3–11 | -0.01 | 22% | 21 May → | ||
| 10–13 | 0.01 | 18% | 21 May → | ||
| 1–13 | -0.03 | 16% | 21 May → | ||
| 13–2 | -0.12 | 100% | 21 May → | ||
| 1–13 | -0.06 | 30% | 21 May → | ||
| 14–16 | 0.04 | 16% | 15 May → | ||
| 13–9 | -0.00 | 13% | 15 May → | ||
| 9–13 | -0.01 | 20% | 5 May → | ||
| 13–3 | 0.07 | 32% | 6 Apr → | ||
| 6–13 | -0.03 | 16% | 6 Apr → | ||
| 13–7 | -0.05 | 16% | 2 Apr → | ||
| 6–13 | 0.03 | 23% | 2 Apr → | ||
| 13–7 | 0.08 | 13% | 2 Apr → | ||
| 13–3 | 0.11 | 13% | 2 Apr → |
Match data via Leetify.