Terra Ryzing — CS2 Stats
SY76561198118053475[U:1:157787747]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.08 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 94% playstyle similarity
Most alike: positioning profile, opening-duel success.
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. 554ms 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 (×1.00 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 | 36 | 16–20 | 44% | 0.03 | |
| S | 18 | 12–6 | 67% | 0.01 | |
| C | 14 | 5–9 | 36% | -0.02 | |
| D | 12 | 2–10 | 17% | -0.00 | |
| B | 11 | 5–6 | 45% | 0.00 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.02 | |
| — | 1 | 1–0 | 100% | 0.17 | |
| — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 60 | 45% | 1.11 | 15.4 |
| Mirage | 52 | 50% | 0.99 | 13.9 |
| Nuke | 30 | 50% | 1.11 | 14.8 |
| Ancient | 29 | 52% | 1.17 | 16.9 |
| Inferno | 25 | 44% | 0.99 | 14.3 |
| Anubis | 22 | 45% | 1.37 | 17.5 |
| Vertigo | 16 | 25% | 1.20 | 14.7 |
| Train | 7 | 43% | 1.05 | 19.4 |
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.
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 31.7921% — 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.
17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.11 | 16% | 16 Aug → | ||
| 8–8 | 0.11 | 18% | 13 Aug → | ||
| 7–9 | 0.00 | 36% | 13 Aug → | ||
| 1–9 | -0.09 | 38% | 13 Aug → | ||
| 6–9 | -0.05 | 22% | 13 Aug → | ||
| 2–9 | -0.20 | 20% | 13 Aug → | ||
| 9–13 | -0.03 | 22% | 13 Aug → | ||
| 2–13 | -0.07 | 20% | 13 Aug → | ||
| 13–16 | -0.02 | 24% | 13 Aug → | ||
| 8–13 | 0.04 | 18% | 13 Aug → | ||
| 10–13 | 0.06 | 16% | 13 Aug → | ||
| 13–6 | -0.00 | 23% | 13 Aug → | ||
| 12–16 | -0.01 | 23% | 9 Aug → | ||
| 8–13 | -0.00 | 46% | 9 Aug → | ||
| 13–10 | -0.01 | 25% | 9 Aug → | ||
| 16–12 | 0.04 | 12% | 9 Aug → | ||
| 8–13 | -0.01 | 16% | 8 Aug → | ||
| 9–7 | 0.21 | 29% | 8 Aug → | ||
| 9–0 | 0.33 | 23% | 8 Aug → | ||
| 8–8 | 0.05 | 17% | 8 Aug → | ||
| 6–13 | 0.01 | 28% | 8 Aug → | ||
| 9–2 | 0.04 | 21% | 6 Aug → | ||
| 5–13 | -0.07 | 25% | 6 Aug → | ||
| 14–16 | 0.05 | 22% | 6 Aug → | ||
| 13–5 | 0.18 | 31% | 6 Aug → | ||
| 13–8 | 0.08 | 13% | 6 Aug → | ||
| 8–8 | -0.05 | 15% | 2 Aug → | ||
| 9–7 | 0.10 | 33% | 2 Aug → | ||
| 13–3 | 0.01 | 15% | 2 Aug → | ||
| 13–5 | 0.06 | 20% | 2 Aug → | ||
| 9–13 | -0.02 | 21% | 2 Aug → | ||
| 3–13 | -0.08 | 8% | 2 Aug → | ||
| 3–13 | 0.03 | 39% | 2 Aug → | ||
| 13–9 | 0.08 | 23% | 2 Aug → | ||
| 7–13 | -0.08 | 27% | 2 Aug → | ||
| 13–6 | 0.03 | 15% | 26 Jul → | ||
| 5–13 | -0.11 | 24% | 26 Jul → | ||
| 13–4 | 0.09 | 25% | 26 Jul → | ||
| 8–13 | 0.01 | 19% | 26 Jul → | ||
| 10–13 | 0.03 | 11% | 26 Jul → | ||
| 6–9 | -0.04 | 19% | 25 Jul → | ||
| 9–2 | 0.09 | 5% | 25 Jul → | ||
| 5–9 | -0.17 | 38% | 25 Jul → | ||
| 9–6 | 0.10 | 31% | 25 Jul → | ||
| 8–8 | 0.11 | 17% | 25 Jul → | ||
| 8–8 | -0.07 | 18% | 25 Jul → | ||
| 8–8 | -0.14 | 26% | 25 Jul → | ||
| 9–6 | 0.11 | 19% | 25 Jul → | ||
| 9–7 | 0.06 | 24% | 19 Jul → | ||
| 9–3 | 0.13 | 25% | 19 Jul → | ||
| 9–3 | 0.07 | 25% | 19 Jul → | ||
| 9–13 | -0.03 | 19% | 19 Jul → | ||
| 13–11 | 0.00 | 17% | 19 Jul → | ||
| 13–10 | 0.01 | 26% | 19 Jul → | ||
| 13–9 | -0.01 | 16% | 19 Jul → | ||
| 4–13 | -0.07 | 19% | 18 Jul → | ||
| 13–11 | 0.01 | 23% | 18 Jul → | ||
| 6–13 | 0.01 | 24% | 18 Jul → | ||
| 13–11 | -0.00 | 25% | 18 Jul → | ||
| 9–13 | -0.04 | 13% | 18 Jul → | ||
| 7–13 | -0.01 | 20% | 18 Jul → | ||
| 13–16 | 0.00 | 33% | 18 Jul → | ||
| 9–7 | 0.17 | 15% | 11 Jul → | ||
| 13–2 | -0.03 | 12% | 11 Jul → | ||
| 12–16 | -0.04 | 28% | 11 Jul → | ||
| 15–15 | -0.04 | 29% | 11 Jul → | ||
| 13–8 | -0.00 | 26% | 11 Jul → | ||
| 13–9 | -0.00 | 35% | 11 Jul → | ||
| 9–13 | -0.02 | 17% | 11 Jul → | ||
| 9–13 | -0.02 | 14% | 10 Jul → | ||
| 7–13 | -0.02 | 22% | 10 Jul → | ||
| 16–14 | 0.09 | 17% | 10 Jul → | ||
| 5–13 | 0.00 | 33% | 10 Jul → | ||
| 13–11 | 0.01 | 14% | 10 Jul → | ||
| 9–13 | 0.04 | 20% | 10 Jul → | ||
| 13–8 | 0.04 | 25% | 10 Jul → | ||
| 15–15 | 0.00 | 14% | 10 Jul → | ||
| 13–10 | -0.01 | 24% | 10 Jul → | ||
| 13–10 | 0.02 | 23% | 9 Jul → | ||
| 10–13 | -0.02 | 16% | 9 Jul → | ||
| 13–7 | -0.02 | 21% | 9 Jul → | ||
| 9–5 | -0.06 | 36% | 4 Jul → | ||
| 9–4 | 0.02 | 21% | 4 Jul → | ||
| 11–13 | 0.02 | 23% | 4 Jul → | ||
| 9–13 | -0.00 | 14% | 4 Jul → | ||
| 11–13 | 0.02 | 23% | 4 Jul → | ||
| 13–9 | -0.03 | 17% | 4 Jul → | ||
| 9–13 | -0.02 | 29% | 4 Jul → | ||
| 13–3 | 0.13 | 19% | 4 Jul → | ||
| 9–13 | -0.00 | 18% | 4 Jul → | ||
| 5–13 | -0.07 | 18% | 4 Jul → | ||
| 8–13 | -0.00 | 17% | 4 Jul → | ||
| 13–9 | 0.06 | 19% | 4 Jul → | ||
| 13–3 | 0.04 | 46% | 3 Jul → | ||
| 13–11 | -0.01 | 28% | 3 Jul → | ||
| 6–13 | -0.02 | 13% | 3 Jul → | ||
| 4–13 | -0.01 | 27% | 3 Jul → | ||
| 13–7 | -0.02 | 21% | 3 Jul → | ||
| 13–10 | 0.03 | 24% | 3 Jul → | ||
| 13–5 | 0.00 | 31% | 3 Jul → |
Match data via Leetify.