stavn — CS2 Stats
PRONinjas in PyjamasDenmarkRiflerSettings & gear profile →
76561198022365638[U:1:62099910]
Rating over time
Faceit ELO
- At peak — 4,191
- Reached: 4,000 ELO · 3,500 ELO · 3,000 ELO · 2,500 ELO
Premier CS Rating
- At peak — 20,595
- Next: Red band at 25,000 — 4,405 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 sh1ro 96% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
Aim. Aim score of 94 — the mechanical foundation is a clear strength.
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 63% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
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 7.7/10 (Strong), 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 |
|---|---|---|---|---|---|
| S | 26 | 19–7 | 73% | 0.05 | |
| A | 21 | 12–9 | 57% | 0.02 | |
| A | 19 | 12–7 | 63% | 0.03 | |
| B | 13 | 7–6 | 54% | 0.00 | |
| A | 11 | 6–5 | 55% | 0.02 | |
| S | 7 | 6–1 | 86% | 0.06 | |
| — | 3 | 1–2 | 33% | 0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (54% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 430 | 60% | 1.41 | 20.0 |
| Nuke | 340 | 69% | 1.56 | 21.2 |
| Ancient | 299 | 61% | 1.46 | 20.0 |
| Dust2 | 268 | 61% | 1.51 | 20.3 |
| Inferno | 153 | 64% | 1.65 | 20.6 |
| Anubis | 92 | 52% | 1.42 | 20.1 |
| Train | 87 | 69% | 1.63 | 22.2 |
| Overpass | 58 | 62% | 1.39 | 19.9 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.12 | 27% | 23 Aug → | ||
| 7–13 | 0.04 | 57% | 16 Aug → | ||
| 13–10 | 0.08 | 25% | 16 Aug → | ||
| 3–13 | -0.04 | 21% | 16 Aug → | ||
| 13–3 | 0.00 | 10% | 14 Aug → | ||
| 13–11 | -0.00 | 19% | 14 Aug → | ||
| 5–13 | -0.03 | 29% | 12 Aug → | ||
| 10–13 | -0.02 | 13% | 11 Aug → | ||
| 9–13 | -0.01 | 20% | 26 Jul → | ||
| 11–13 | 0.02 | 9% | 26 Jul → | ||
| 14–16 | 0.02 | 9% | 26 Jul → | ||
| 6–13 | 0.00 | 15% | 26 Jul → | ||
| 13–9 | 0.01 | 16% | 25 Jul → | ||
| 13–8 | 0.03 | 18% | 25 Jul → | ||
| 12–16 | -0.03 | 4% | 25 Jul → | ||
| 16–14 | 0.10 | 17% | 23 Jul → | ||
| 16–14 | 0.02 | 27% | 23 Jul → | ||
| 13–10 | -0.00 | 22% | 22 Jul → | ||
| 10–13 | 0.02 | 10% | 22 Jul → | ||
| 13–9 | 0.07 | 28% | 22 Jul → | ||
| 13–10 | 0.05 | 20% | 21 Jul → | ||
| 13–8 | 0.07 | 30% | 21 Jul → | ||
| 13–9 | 0.00 | 14% | 16 Jul → | ||
| 13–6 | 0.09 | 11% | 16 Jul → | ||
| 13–8 | 0.08 | 15% | 15 Jul → | ||
| 13–8 | -0.01 | 24% | 15 Jul → | ||
| 12–16 | 0.05 | 37% | 9 Jul → | ||
| 15–19 | 0.03 | 23% | 9 Jul → | ||
| 11–13 | 0.01 | 19% | 9 Jul → | ||
| 13–3 | 0.10 | 42% | 9 Jul → | ||
| 13–11 | 0.03 | 31% | 7 Jul → | ||
| 13–9 | 0.06 | 23% | 4 Jul → | ||
| 6–13 | -0.01 | 23% | 4 Jul → | ||
| 11–13 | 0.03 | 19% | 4 Jul → | ||
| 13–7 | 0.03 | 36% | 3 Jul → | ||
| 7–13 | -0.01 | 16% | 3 Jul → | ||
| 13–10 | -0.03 | 10% | 3 Jul → | ||
| 3–13 | -0.02 | 17% | 2 Jul → | ||
| 14–16 | -0.00 | 21% | 1 Jul → | ||
| 13–4 | 0.04 | 42% | 24 Jun → | ||
| 3–13 | 0.02 | 9% | 21 Jun → | ||
| 13–7 | 0.03 | 9% | 16 Jun → | ||
| 13–11 | -0.06 | 11% | 30 May → | ||
| 6–13 | 0.02 | 23% | 30 May → | ||
| 13–11 | 0.02 | 18% | 30 May → | ||
| 13–11 | 0.01 | 14% | 30 May → | ||
| 2–13 | 0.00 | 13% | 29 May → | ||
| 9–13 | 0.01 | 34% | 29 May → | ||
| 13–7 | 0.05 | 9% | 28 May → | ||
| 13–5 | 0.03 | 16% | 28 May → | ||
| 13–7 | 0.10 | 12% | 27 May → | ||
| 3–13 | -0.00 | 30% | 21 May → | ||
| 9–13 | -0.03 | 7% | 20 May → | ||
| 12–16 | 0.05 | 36% | 9 May → | ||
| 13–9 | 0.06 | 23% | 8 May → | ||
| 13–8 | 0.11 | 42% | 5 May → | ||
| 6–13 | -0.04 | 24% | 26 Apr → | ||
| 16–14 | 0.04 | 19% | 26 Apr → | ||
| 2–13 | -0.05 | 16% | 26 Apr → | ||
| 11–13 | 0.02 | 20% | 25 Apr → | ||
| 13–5 | 0.08 | 15% | 25 Apr → | ||
| 13–5 | -0.01 | 33% | 25 Apr → | ||
| 19–16 | 0.03 | 11% | 25 Apr → | ||
| 13–11 | -0.01 | 18% | 25 Apr → | ||
| 14–16 | -0.02 | 28% | 24 Apr → | ||
| 7–13 | -0.02 | 22% | 24 Apr → | ||
| 13–10 | 0.12 | 46% | 24 Apr → | ||
| 13–11 | 0.00 | 21% | 23 Apr → | ||
| 13–7 | 0.07 | 14% | 23 Apr → | ||
| 13–7 | 0.06 | 19% | 23 Apr → | ||
| 7–13 | 0.03 | 17% | 22 Apr → | ||
| 10–13 | -0.03 | 26% | 22 Apr → | ||
| 13–1 | 0.07 | 17% | 20 Apr → | ||
| 13–7 | -0.00 | 20% | 4 Apr → | ||
| 5–13 | -0.04 | 53% | 1 Apr → | ||
| 13–8 | 0.01 | 11% | 30 Mar → | ||
| 13–9 | 0.00 | 22% | 23 Mar → | ||
| 13–9 | 0.15 | 22% | 12 Mar → | ||
| 10–13 | -0.04 | 10% | 6 Mar → | ||
| 13–10 | 0.05 | 21% | 28 Feb → | ||
| 13–8 | 0.02 | 20% | 27 Feb → | ||
| 13–7 | 0.09 | 17% | 18 Feb → | ||
| 13–9 | -0.00 | 33% | 18 Feb → | ||
| 13–3 | 0.12 | 21% | 18 Feb → | ||
| 13–6 | 0.06 | 26% | 18 Feb → | ||
| 5–13 | -0.07 | 22% | 17 Feb → | ||
| 13–4 | 0.10 | 10% | 17 Feb → | ||
| 13–5 | 0.11 | 30% | 14 Feb → | ||
| 13–5 | 0.06 | 19% | 14 Feb → | ||
| 13–7 | 0.07 | 29% | 12 Feb → | ||
| 13–1 | 0.22 | 32% | 12 Feb → | ||
| 13–8 | 0.12 | 26% | 12 Feb → | ||
| 13–11 | 0.04 | 13% | 12 Feb → | ||
| 8–13 | 0.05 | 18% | 12 Feb → | ||
| 13–11 | -0.00 | 25% | 11 Feb → | ||
| 13–11 | 0.10 | 22% | 11 Feb → | ||
| 13–7 | 0.11 | 26% | 10 Feb → | ||
| 13–10 | 0.00 | 29% | 10 Feb → | ||
| 13–9 | 0.05 | 16% | 7 Feb → | ||
| 3–13 | 0.00 | 23% | 7 Feb → |
Match data via Leetify.
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