Oranssisurma — CS2 Stats
76561197990333182[U:1:30067454]
Rating over time
Faceit ELO
- At peak — 2,032
- Next: 2,500 ELO at 2,500 — 468 to go
- Reached: Level 10 · Level 9 · Level 8 · Level 7
- Level 10 first seen 2026-08-28
- Level 9 first seen 2026-08-28
Premier CS Rating
- At peak — 21,227
- Next: Red band at 25,000 — 3,773 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
- Pink band first seen 2026-08-28
- Purple band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
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: Hybrid 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 89% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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. 617ms 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 (×1.02 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 |
|---|---|---|---|---|---|
| A | 20 | 12–8 | 60% | -0.01 | |
| A | 17 | 10–7 | 59% | -0.00 | |
| A | 14 | 9–5 | 64% | -0.03 | |
| B | 13 | 7–6 | 54% | -0.01 | |
| B | 13 | 7–6 | 54% | -0.04 | |
| D | 9 | 3–6 | 33% | 0.01 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| D | 6 | 2–4 | 33% | -0.01 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 108 | 43% | 0.95 | 14.4 |
| Nuke | 98 | 62% | 0.99 | 15.2 |
| Anubis | 94 | 53% | 0.98 | 14.9 |
| Inferno | 91 | 54% | 0.95 | 14.2 |
| Mirage | 75 | 43% | 0.83 | 13.1 |
| Dust2 | 46 | 43% | 0.89 | 15.7 |
| Overpass | 43 | 49% | 0.95 | 15.4 |
| Train | 37 | 49% | 0.86 | 13.6 |
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.
- 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 29.7472% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.02 | 5% | 24 Aug → | ||
| 13–11 | -0.07 | 24% | 20 Aug → | ||
| 10–13 | -0.01 | 10% | 18 Aug → | ||
| 13–8 | -0.02 | 13% | 18 Aug → | ||
| 5–13 | -0.04 | 23% | 12 Aug → | ||
| 8–13 | 0.01 | 9% | 12 Aug → | ||
| 13–9 | 0.10 | 19% | 12 Aug → | ||
| 13–6 | 0.02 | 20% | 12 Aug → | ||
| 8–13 | -0.03 | 8% | 5 Aug → | ||
| 2–13 | -0.07 | 56% | 5 Aug → | ||
| 13–7 | -0.04 | 19% | 4 Aug → | ||
| 10–13 | -0.07 | 14% | 4 Aug → | ||
| 10–13 | -0.11 | 12% | 4 Aug → | ||
| 13–10 | -0.04 | 6% | 4 Aug → | ||
| 13–11 | 0.00 | 19% | 4 Aug → | ||
| 10–13 | -0.03 | 30% | 4 Aug → | ||
| 13–11 | 0.02 | 20% | 3 Aug → | ||
| 13–11 | -0.02 | 11% | 3 Aug → | ||
| 16–13 | -0.00 | 18% | 3 Aug → | ||
| 9–13 | 0.01 | 17% | 2 Aug → | ||
| 6–13 | -0.08 | 13% | 2 Aug → | ||
| 16–12 | -0.06 | 14% | 2 Aug → | ||
| 13–2 | -0.03 | 17% | 2 Aug → | ||
| 13–11 | 0.07 | 18% | 2 Aug → | ||
| 3–13 | -0.06 | 28% | 2 Aug → | ||
| 13–4 | 0.06 | 24% | 23 Jul → | ||
| 3–13 | -0.09 | 6% | 10 Jul → | ||
| 13–6 | 0.02 | 25% | 10 Jul → | ||
| 9–13 | -0.05 | 19% | 10 Jul → | ||
| 5–13 | 0.02 | 26% | 6 Jul → | ||
| 0–9 | -0.05 | 23% | 6 Jul → | ||
| 13–4 | 0.02 | 6% | 6 Jul → | ||
| 13–7 | 0.01 | 25% | 6 Jul → | ||
| 4–13 | -0.04 | 17% | 6 Jul → | ||
| 13–5 | 0.00 | 22% | 6 Jul → | ||
| 13–4 | 0.01 | 17% | 6 Jun → | ||
| 13–9 | 0.02 | 11% | 6 Jun → | ||
| 13–6 | -0.02 | 8% | 6 Jun → | ||
| 11–13 | -0.01 | 17% | 5 Jun → | ||
| 7–13 | -0.04 | 10% | 5 Jun → | ||
| 10–13 | -0.02 | 33% | 5 Jun → | ||
| 13–7 | 0.07 | 15% | 5 Jun → | ||
| 13–11 | -0.07 | 29% | 5 Jun → | ||
| 13–11 | -0.01 | 17% | 5 Jun → | ||
| 13–6 | -0.00 | 18% | 4 Jun → | ||
| 13–10 | -0.01 | 21% | 26 May → | ||
| 16–14 | 0.04 | 15% | 26 May → | ||
| 13–1 | 0.03 | 19% | 26 May → | ||
| 13–10 | -0.04 | 10% | 22 May → | ||
| 11–1 | -0.02 | 6% | 22 May → | ||
| 13–6 | 0.00 | 7% | 22 May → | ||
| 15–15 | -0.03 | 25% | 22 May → | ||
| 13–8 | -0.06 | 7% | 22 May → | ||
| 11–13 | 0.02 | 17% | 22 May → | ||
| 16–13 | -0.00 | 18% | 22 May → | ||
| 13–10 | -0.05 | 14% | 22 May → | ||
| 13–9 | 0.06 | 13% | 4 May → | ||
| 10–13 | 0.04 | 19% | 4 May → | ||
| 2–13 | -0.04 | 15% | 4 May → | ||
| 14–16 | -0.08 | 9% | 1 May → | ||
| 13–8 | -0.07 | 21% | 1 May → | ||
| 6–13 | -0.02 | 10% | 30 Apr → | ||
| 11–13 | -0.01 | 11% | 27 Apr → | ||
| 7–13 | -0.05 | 17% | 27 Apr → | ||
| 5–13 | 0.00 | 20% | 27 Apr → | ||
| 14–16 | -0.00 | 16% | 22 Apr → | ||
| 13–11 | -0.04 | 12% | 22 Apr → | ||
| 4–13 | 0.05 | 19% | 22 Apr → | ||
| 11–13 | -0.00 | 18% | 22 Apr → | ||
| 13–11 | -0.02 | 29% | 22 Apr → | ||
| 7–13 | -0.06 | 13% | 22 Apr → | ||
| 13–16 | 0.04 | 15% | 20 Apr → | ||
| 3–13 | -0.03 | 30% | 20 Apr → | ||
| 1–9 | -0.30 | 0% | 20 Apr → | ||
| 10–13 | -0.06 | 14% | 20 Apr → | ||
| 13–1 | 0.14 | 16% | 13 Apr → | ||
| 13–7 | 0.03 | 13% | 9 Apr → | ||
| 13–11 | 0.01 | 20% | 25 Mar → | ||
| 13–5 | 0.07 | 18% | 25 Mar → | ||
| 13–8 | 0.03 | 20% | 24 Mar → | ||
| 2–9 | 0.00 | 9% | 23 Mar → | ||
| 15–15 | 0.03 | 21% | 21 Mar → | ||
| 13–7 | -0.06 | 16% | 19 Mar → | ||
| 13–2 | 0.05 | 12% | 19 Mar → | ||
| 13–8 | -0.04 | 16% | 18 Mar → | ||
| 11–13 | 0.00 | 24% | 6 Feb → | ||
| 14–16 | 0.00 | 23% | 3 Feb → | ||
| 3–0 | 0.00 | 0% | 3 Feb → | ||
| 15–15 | -0.01 | 15% | 31 Jan → | ||
| 13–8 | -0.01 | 10% | 31 Jan → | ||
| 13–9 | -0.02 | 11% | 27 Jan → | ||
| 13–4 | -0.03 | 22% | 27 Jan → | ||
| 11–13 | -0.00 | 13% | 26 Jan → | ||
| 12–16 | -0.06 | 13% | 10 Jan → | ||
| 13–9 | -0.04 | 6% | 10 Jan → | ||
| 13–7 | -0.01 | 18% | 9 Jan → | ||
| 13–11 | -0.01 | 15% | 9 Jan → | ||
| 3–13 | -0.01 | 25% | 9 Jan → | ||
| 11–13 | -0.03 | 18% | 6 Jan → | ||
| 13–5 | 0.04 | 15% | 6 Jan → |
Match data via Leetify.