teraxin — CS2 Stats
CA76561199092103834[U:1:1131838106]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.04 avg rating
Player DNA
Primary style: Passive 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 83% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower opening-fight frequency; 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. 629ms 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 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 18 | 11–7 | 61% | -0.00 | |
| B | 18 | 9–9 | 50% | -0.00 | |
| D | 17 | 5–12 | 29% | -0.01 | |
| S | 15 | 10–5 | 67% | 0.02 | |
| B | 13 | 6–7 | 46% | -0.01 | |
| C | 12 | 5–7 | 42% | -0.01 | |
| — | 4 | 3–1 | 75% | 0.02 | |
| — | 3 | 1–2 | 33% | 0.05 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Mirage 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 12 | 50% | 0.87 | 12.3 |
| Mirage | 8 | 62% | 0.84 | 15.0 |
| Ancient | 4 | 25% | 0.61 | 9.0 |
| Nuke | 3 | 67% | 1.89 | 13.0 |
| Overpass | 2 | 50% | 0.94 | 10.5 |
| Anubis | 2 | 100% | 0.95 | 14.5 |
| Cache | 2 | 50% | 0.62 | 9.5 |
| Inferno | 2 | 50% | 0.91 | 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 12.6108% — 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 30.5511% — 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.
29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | -0.04 | 4% | 28 Aug → | ||
| 13–9 | -0.04 | 10% | 28 Aug → | ||
| 13–10 | -0.00 | 18% | 28 Aug → | ||
| 11–13 | -0.07 | 23% | 28 Aug → | ||
| 8–13 | -0.05 | 10% | 27 Aug → | ||
| 13–4 | -0.01 | 16% | 26 Aug → | ||
| 13–8 | -0.03 | 5% | 26 Aug → | ||
| 13–9 | -0.05 | 9% | 25 Aug → | ||
| 11–13 | 0.04 | 18% | 25 Aug → | ||
| 3–13 | -0.03 | 19% | 25 Aug → | ||
| 15–15 | 0.04 | 14% | 23 Aug → | ||
| 13–7 | 0.09 | 11% | 23 Aug → | ||
| 9–13 | -0.04 | 4% | 23 Aug → | ||
| 13–8 | 0.03 | 21% | 23 Aug → | ||
| 7–13 | 0.02 | 13% | 23 Aug → | ||
| 10–13 | -0.01 | 18% | 23 Aug → | ||
| 15–15 | -0.01 | 8% | 23 Aug → | ||
| 14–16 | 0.03 | 10% | 22 Aug → | ||
| 8–13 | -0.00 | 21% | 22 Aug → | ||
| 13–9 | -0.02 | 9% | 22 Aug → | ||
| 13–11 | 0.04 | 10% | 22 Aug → | ||
| 9–13 | 0.02 | 13% | 22 Aug → | ||
| 13–6 | 0.01 | 12% | 22 Aug → | ||
| 13–6 | 0.08 | 13% | 22 Aug → | ||
| 13–9 | 0.10 | 6% | 22 Aug → | ||
| 11–13 | -0.03 | 24% | 21 Aug → | ||
| 13–6 | 0.11 | 12% | 21 Aug → | ||
| 9–13 | 0.09 | 13% | 21 Aug → | ||
| 15–15 | 0.02 | 6% | 21 Aug → | ||
| 13–8 | 0.06 | 13% | 21 Aug → | ||
| 13–4 | 0.10 | 15% | 21 Aug → | ||
| 1–13 | -0.08 | 6% | 21 Aug → | ||
| 13–8 | 0.00 | 16% | 20 Aug → | ||
| 1–13 | -0.07 | 6% | 20 Aug → | ||
| 13–11 | 0.05 | 23% | 19 Aug → | ||
| 13–7 | 0.05 | 19% | 19 Aug → | ||
| 8–13 | -0.08 | 19% | 19 Aug → | ||
| 13–7 | -0.01 | 14% | 16 Aug → | ||
| 13–8 | 0.03 | 12% | 16 Aug → | ||
| 13–11 | 0.01 | 9% | 16 Aug → | ||
| 2–13 | -0.10 | 10% | 16 Aug → | ||
| 5–13 | -0.08 | 5% | 16 Aug → | ||
| 6–13 | -0.06 | 18% | 16 Aug → | ||
| 5–13 | -0.04 | 4% | 16 Aug → | ||
| 16–14 | -0.03 | 18% | 15 Aug → | ||
| 8–13 | -0.02 | 11% | 15 Aug → | ||
| 8–13 | 0.03 | 20% | 15 Aug → | ||
| 13–9 | 0.06 | 18% | 14 Aug → | ||
| 13–9 | 0.03 | 17% | 14 Aug → | ||
| 8–13 | 0.01 | 7% | 14 Aug → | ||
| 7–13 | 0.02 | 11% | 14 Aug → | ||
| 13–9 | -0.00 | 27% | 14 Aug → | ||
| 13–11 | -0.01 | 12% | 14 Aug → | ||
| 13–9 | -0.04 | 12% | 14 Aug → | ||
| 7–13 | -0.06 | 12% | 14 Aug → | ||
| 13–5 | 0.03 | 12% | 14 Aug → | ||
| 13–7 | -0.01 | 19% | 14 Aug → | ||
| 9–13 | 0.01 | 13% | 13 Aug → | ||
| 11–13 | -0.04 | 3% | 13 Aug → | ||
| 13–5 | 0.02 | 10% | 13 Aug → | ||
| 10–13 | 0.13 | 13% | 13 Aug → | ||
| 7–13 | -0.03 | 13% | 12 Aug → | ||
| 3–13 | 0.09 | 13% | 12 Aug → | ||
| 11–6 | 0.04 | 8% | 12 Aug → | ||
| 13–8 | 0.06 | 13% | 12 Aug → | ||
| 13–5 | 0.04 | 14% | 12 Aug → | ||
| 13–7 | 0.08 | 11% | 12 Aug → | ||
| 13–4 | -0.01 | 5% | 12 Aug → | ||
| 1–13 | -0.11 | 16% | 11 Aug → | ||
| 8–13 | -0.01 | 12% | 11 Aug → | ||
| 13–3 | 0.03 | 23% | 11 Aug → | ||
| 15–15 | -0.01 | 18% | 11 Aug → | ||
| 13–8 | 0.07 | 9% | 11 Aug → | ||
| 11–13 | -0.00 | 11% | 11 Aug → | ||
| 10–13 | -0.06 | 12% | 10 Aug → | ||
| 13–3 | 0.02 | 21% | 10 Aug → | ||
| 13–2 | 0.03 | 21% | 9 Aug → | ||
| 5–13 | 0.01 | 13% | 9 Aug → | ||
| 6–13 | -0.05 | 13% | 9 Aug → | ||
| 13–4 | -0.01 | 21% | 9 Aug → | ||
| 10–13 | -0.08 | 7% | 9 Aug → | ||
| 13–2 | 0.03 | 14% | 9 Aug → | ||
| 7–12 | -0.06 | 11% | 9 Aug → | ||
| 2–13 | -0.06 | 14% | 9 Aug → | ||
| 13–8 | 0.02 | 6% | 9 Aug → | ||
| 16–14 | -0.05 | 13% | 9 Aug → | ||
| 2–13 | -0.00 | 7% | 9 Aug → | ||
| 2–13 | -0.05 | 13% | 9 Aug → | ||
| 13–9 | 0.01 | 12% | 9 Aug → | ||
| 13–11 | 0.02 | 20% | 9 Aug → | ||
| 11–13 | -0.01 | 19% | 9 Aug → | ||
| 13–10 | -0.01 | 16% | 9 Aug → | ||
| 9–13 | 0.00 | 11% | 9 Aug → | ||
| 11–13 | 0.02 | 16% | 9 Aug → | ||
| 13–3 | 0.04 | 16% | 9 Aug → | ||
| 11–13 | -0.02 | 18% | 8 Aug → | ||
| 13–9 | 0.10 | 20% | 8 Aug → | ||
| 9–13 | -0.04 | 14% | 8 Aug → | ||
| 7–13 | -0.04 | 24% | 8 Aug → | ||
| 13–4 | -0.00 | 16% | 8 Aug → |
Match data via Leetify.
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