Orenda96 — CS2 Stats
76561199655746342[U:1:1695480614]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.03 avg rating
Player DNA
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 76% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower opening-duel success; 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
T-side openings. Opening success drops from 39% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 607ms 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 3.9/10 (Learning), 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 |
|---|---|---|---|---|---|
| B | 31 | 15–16 | 48% | 0.02 | |
| B | 17 | 9–8 | 53% | 0.01 | |
| B | 14 | 7–7 | 50% | 0.01 | |
| S | 12 | 8–4 | 67% | 0.01 | |
| S | 9 | 6–3 | 67% | 0.03 | |
| office | D | 6 | 2–4 | 33% | 0.00 |
| D | 5 | 1–4 | 20% | -0.02 | |
| — | 3 | 2–1 | 67% | -0.00 | |
| — | 2 | 0–2 | 0% | -0.03 | |
| — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 93 | 44% | 0.97 | 12.3 |
| Dust2 | 51 | 65% | 1.11 | 12.1 |
| Anubis | 39 | 51% | 1.05 | 13.1 |
| Inferno | 32 | 47% | 1.50 | 15.5 |
| Ancient | 29 | 38% | 1.03 | 13.7 |
| Nuke | 22 | 55% | 1.15 | 16.4 |
| Vertigo | 6 | 33% | 0.85 | 12.7 |
| Train | 2 | 50% | 1.06 | 11.0 |
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 13.6401% — 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 21.9072% — 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 | |
|---|---|---|---|---|---|
| 13–6 | 0.00 | 12% | 22 Aug → | ||
| 10–13 | 0.08 | 13% | 16 Aug → | ||
| 8–13 | 0.02 | 11% | 16 Aug → | ||
| 6–13 | 0.03 | 8% | 16 Aug → | ||
| 13–9 | 0.02 | 17% | 11 Aug → | ||
| 8–13 | -0.02 | 16% | 11 Aug → | ||
| 13–7 | 0.02 | 21% | 11 Aug → | ||
| 14–16 | -0.01 | 13% | 11 Aug → | ||
| 10–13 | -0.01 | 15% | 11 Aug → | ||
| 13–8 | 0.10 | 19% | 11 Aug → | ||
| 13–0 | 0.10 | 14% | 11 Aug → | ||
| 13–11 | -0.03 | 4% | 11 Aug → | ||
| 7–13 | -0.07 | 7% | 10 Aug → | ||
| 13–16 | 0.01 | 15% | 10 Aug → | ||
| 3–13 | -0.05 | 33% | 10 Aug → | ||
| 9–13 | -0.02 | 13% | 10 Aug → | ||
| 2–7 | -0.05 | 28% | 10 Aug → | ||
| 7–13 | 0.01 | 16% | 10 Aug → | ||
| 16–13 | 0.01 | 13% | 10 Aug → | ||
| 13–6 | 0.02 | 22% | 10 Aug → | ||
| 13–6 | 0.04 | 8% | 10 Aug → | ||
| 9–13 | -0.03 | 7% | 10 Aug → | ||
| 13–0 | -0.08 | 9% | 9 Aug → | ||
| 7–13 | -0.01 | 19% | 9 Aug → | ||
| 13–6 | 0.01 | 11% | 9 Aug → | ||
| 11–13 | 0.01 | 16% | 9 Aug → | ||
| 5–13 | 0.01 | 24% | 9 Aug → | ||
| 13–5 | 0.03 | 9% | 9 Aug → | ||
| 13–10 | -0.00 | 9% | 9 Aug → | ||
| 16–12 | -0.01 | 3% | 9 Aug → | ||
| 13–5 | 0.07 | 10% | 9 Aug → | ||
| 14–16 | 0.11 | 6% | 9 Aug → | ||
| 13–10 | -0.01 | 8% | 9 Aug → | ||
| 4–13 | 0.03 | 11% | 9 Aug → | ||
| 13–10 | 0.07 | 16% | 8 Aug → | ||
| 11–13 | -0.02 | 9% | 8 Aug → | ||
| 13–6 | 0.05 | 18% | 7 Aug → | ||
| 13–4 | -0.05 | 5% | 7 Aug → | ||
| 13–11 | 0.04 | 7% | 7 Aug → | ||
| 9–13 | -0.01 | 2% | 7 Aug → | ||
| 13–3 | -0.07 | 14% | 7 Aug → | ||
| 13–8 | 0.01 | 10% | 7 Aug → | ||
| 8–13 | 0.01 | 7% | 1 Aug → | ||
| 10–13 | -0.00 | 18% | 30 Jul → | ||
| 12–12 | 0.03 | 6% | 27 Jul → | ||
| 13–10 | 0.08 | 21% | 26 Jul → | ||
| 13–7 | 0.01 | 8% | 26 Jul → | ||
| 4–13 | -0.02 | 6% | 26 Jul → | ||
| 13–9 | 0.01 | 11% | 26 Jul → | ||
| 10–13 | -0.06 | 11% | 11 Jul → | ||
| 13–8 | 0.01 | 17% | 11 Jul → | ||
| 13–10 | -0.07 | 12% | 11 Jul → | ||
| 14–16 | 0.03 | 11% | 11 Jul → | ||
| 13–8 | 0.04 | 18% | 10 Jul → | ||
| 13–3 | -0.01 | 19% | 10 Jul → | ||
| 13–8 | 0.02 | 10% | 10 Jul → | ||
| 11–13 | 0.01 | 17% | 10 Jul → | ||
| 13–5 | -0.01 | 6% | 28 Jun → | ||
| 4–11 | -0.00 | 10% | 27 Jun → | ||
| 14–16 | 0.03 | 16% | 14 Jun → | ||
| 13–11 | 0.02 | 7% | 8 Jun → | ||
| 13–6 | 0.05 | 8% | 23 May → | ||
| 9–13 | -0.07 | 3% | 23 May → | ||
| 13–5 | -0.01 | 11% | 22 May → | ||
| office | 13–2 | -0.06 | 14% | 17 May → | |
| 13–0 | 0.16 | 16% | 17 May → | ||
| 13–11 | -0.07 | 13% | 11 Apr → | ||
| 13–8 | 0.09 | 12% | 7 Apr → | ||
| 5–13 | 0.06 | 16% | 5 Apr → | ||
| 16–13 | 0.02 | 15% | 27 Mar → | ||
| 7–13 | -0.02 | 3% | 26 Mar → | ||
| 9–13 | -0.03 | 9% | 26 Mar → | ||
| office | 11–13 | 0.03 | 14% | 23 Mar → | |
| 9–13 | -0.01 | 22% | 20 Mar → | ||
| 13–9 | 0.01 | 14% | 11 Mar → | ||
| office | 11–13 | 0.02 | 16% | 10 Mar → | |
| office | 13–3 | 0.04 | 19% | 10 Mar → | |
| office | 6–13 | -0.00 | 14% | 10 Mar → | |
| office | 6–13 | 0.00 | 20% | 10 Mar → | |
| 13–6 | 0.01 | 16% | 10 Mar → | ||
| 13–5 | -0.01 | 17% | 10 Mar → | ||
| 13–6 | 0.09 | 44% | 10 Mar → | ||
| 13–9 | 0.07 | 16% | 10 Mar → | ||
| 6–13 | -0.01 | 17% | 10 Mar → | ||
| 8–13 | -0.02 | 22% | 10 Mar → | ||
| 13–4 | 0.16 | 17% | 9 Mar → | ||
| 13–7 | 0.10 | 15% | 9 Mar → | ||
| 11–13 | 0.04 | 6% | 9 Mar → | ||
| 12–16 | 0.05 | 11% | 7 Mar → | ||
| 13–11 | 0.02 | 19% | 6 Mar → | ||
| 13–8 | -0.03 | 4% | 6 Mar → | ||
| 9–13 | 0.02 | 12% | 6 Mar → | ||
| 13–16 | 0.01 | 6% | 5 Mar → | ||
| 14–16 | 0.02 | 15% | 5 Mar → | ||
| 9–13 | -0.02 | 10% | 5 Mar → | ||
| 1–13 | -0.07 | 10% | 5 Mar → | ||
| 10–13 | -0.06 | 8% | 4 Mar → | ||
| 13–9 | 0.06 | 6% | 4 Mar → | ||
| 11–13 | -0.04 | 17% | 26 Feb → | ||
| 13–4 | 0.04 | 9% | 26 Feb → |
Match data via Leetify.