Sp3cTre — CS2 Stats
76561198218975101[U:1:258709373]Steam profile ↗✓ No bans
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 91% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: lower utility contribution; lower 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
Strengths
Aim. Aim score of 89 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 41% on CT to 22% 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 6.1/10 (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 |
|---|---|---|---|---|---|
| B | 25 | 12–13 | 48% | 0.01 | |
| B | 18 | 9–9 | 50% | 0.02 | |
| B | 17 | 8–9 | 47% | 0.03 | |
| S | 14 | 11–3 | 79% | 0.02 | |
| D | 9 | 3–6 | 33% | 0.01 | |
| A | 9 | 5–4 | 56% | -0.00 | |
| D | 6 | 2–4 | 33% | 0.02 | |
| — | 1 | 0–1 | 0% | 0.00 | |
| — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 357 | 52% | 1.26 | 16.5 |
| Inferno | 342 | 56% | 1.29 | 16.0 |
| Dust2 | 285 | 51% | 1.21 | 16.7 |
| Ancient | 282 | 48% | 1.16 | 16.2 |
| Mirage | 179 | 49% | 1.17 | 16.1 |
| Nuke | 142 | 51% | 1.16 | 15.8 |
| Vertigo | 118 | 52% | 1.26 | 17.1 |
| Overpass | 88 | 50% | 1.19 | 16.8 |
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 22.4022% — 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 | |
|---|---|---|---|---|---|
| 1–13 | -0.07 | 24% | 19 Aug → | ||
| 14–16 | 0.00 | 18% | 18 Aug → | ||
| 7–13 | -0.02 | 35% | 10 Aug → | ||
| 7–13 | -0.02 | 23% | 9 Aug → | ||
| 8–13 | 0.00 | 26% | 8 Aug → | ||
| 13–4 | 0.08 | 21% | 4 Aug → | ||
| 13–10 | 0.01 | 41% | 3 Aug → | ||
| 5–13 | 0.00 | 18% | 3 Aug → | ||
| 13–7 | 0.01 | 32% | 14 Jul → | ||
| 13–10 | -0.02 | 13% | 13 Jul → | ||
| 16–13 | 0.03 | 23% | 2 Jul → | ||
| 13–8 | 0.00 | 41% | 7 Jun → | ||
| 4–9 | -0.11 | 9% | 7 Jun → | ||
| 8–13 | 0.04 | 18% | 5 Jun → | ||
| 11–13 | 0.03 | 28% | 3 Jun → | ||
| 6–13 | 0.04 | 12% | 1 Jun → | ||
| 13–11 | -0.02 | 25% | 28 May → | ||
| 13–8 | 0.07 | 23% | 22 May → | ||
| 13–6 | 0.01 | 20% | 21 May → | ||
| 13–9 | -0.04 | 22% | 14 May → | ||
| 13–8 | 0.01 | 31% | 6 May → | ||
| 13–4 | -0.00 | 23% | 5 May → | ||
| 8–13 | -0.01 | 25% | 4 May → | ||
| 8–13 | 0.06 | 30% | 29 Apr → | ||
| 5–13 | 0.04 | 14% | 9 Apr → | ||
| 13–11 | 0.02 | 16% | 8 Apr → | ||
| 5–13 | -0.00 | 20% | 25 Mar → | ||
| 10–13 | 0.02 | 31% | 24 Mar → | ||
| 8–13 | 0.01 | 25% | 24 Mar → | ||
| 13–4 | 0.14 | 23% | 24 Mar → | ||
| 10–13 | 0.13 | 23% | 23 Mar → | ||
| 19–17 | 0.06 | 14% | 23 Mar → | ||
| 4–13 | -0.05 | 16% | 23 Mar → | ||
| 11–13 | -0.04 | 18% | 19 Mar → | ||
| 13–4 | 0.15 | 21% | 19 Mar → | ||
| 4–13 | -0.04 | 28% | 15 Mar → | ||
| 13–7 | 0.13 | 20% | 12 Mar → | ||
| 3–13 | -0.04 | 40% | 12 Mar → | ||
| 9–13 | -0.02 | 10% | 12 Mar → | ||
| 13–3 | 0.16 | 18% | 12 Mar → | ||
| 5–13 | -0.01 | 19% | 5 Mar → | ||
| 13–6 | -0.01 | 18% | 5 Mar → | ||
| 16–13 | -0.01 | 17% | 4 Mar → | ||
| 10–13 | 0.01 | 22% | 4 Mar → | ||
| 13–5 | -0.00 | 10% | 4 Mar → | ||
| 13–1 | 0.05 | 36% | 4 Mar → | ||
| 16–13 | 0.04 | 25% | 3 Mar → | ||
| 11–13 | -0.04 | 14% | 1 Mar → | ||
| 13–1 | 0.11 | 19% | 1 Mar → | ||
| 6–13 | -0.00 | 28% | 26 Feb → | ||
| 13–7 | 0.06 | 13% | 26 Feb → | ||
| 13–11 | 0.02 | 25% | 26 Feb → | ||
| 13–11 | 0.10 | 18% | 26 Feb → | ||
| 6–13 | -0.00 | 22% | 25 Feb → | ||
| 13–8 | -0.05 | 18% | 25 Feb → | ||
| 1–13 | -0.03 | 25% | 25 Feb → | ||
| 13–3 | 0.09 | 20% | 25 Feb → | ||
| 6–13 | -0.07 | 15% | 24 Feb → | ||
| 13–6 | 0.06 | 37% | 24 Feb → | ||
| 13–9 | 0.07 | 38% | 24 Feb → | ||
| 13–2 | 0.05 | 17% | 24 Feb → | ||
| 12–16 | 0.02 | 29% | 23 Feb → | ||
| 8–13 | 0.02 | 14% | 12 Feb → | ||
| 6–13 | 0.01 | 21% | 11 Feb → | ||
| 13–16 | 0.08 | 38% | 10 Feb → | ||
| 14–16 | 0.03 | 26% | 9 Feb → | ||
| 6–13 | -0.05 | 17% | 5 Feb → | ||
| 13–11 | 0.07 | 15% | 5 Feb → | ||
| 13–9 | -0.03 | 15% | 4 Feb → | ||
| 7–13 | -0.02 | 21% | 4 Feb → | ||
| 13–8 | 0.04 | 24% | 4 Feb → | ||
| 13–8 | -0.00 | 26% | 29 Jan → | ||
| 13–9 | -0.03 | 34% | 28 Jan → | ||
| 13–6 | 0.06 | 21% | 28 Jan → | ||
| 10–13 | -0.05 | 29% | 28 Jan → | ||
| 13–9 | 0.01 | 13% | 28 Jan → | ||
| 13–8 | 0.05 | 20% | 27 Jan → | ||
| 10–13 | 0.00 | 14% | 26 Jan → | ||
| 13–11 | -0.00 | 23% | 26 Jan → | ||
| 11–13 | 0.01 | 20% | 15 Jan → | ||
| 13–7 | 0.07 | 22% | 14 Jan → | ||
| 6–13 | -0.01 | 13% | 21 Dec → | ||
| 5–13 | -0.03 | 15% | 18 Dec → | ||
| 13–8 | 0.04 | 16% | 18 Dec → | ||
| 13–6 | -0.02 | 9% | 29 Nov → | ||
| 13–10 | 0.02 | 20% | 26 Nov → | ||
| 13–16 | -0.02 | 18% | 21 Nov → | ||
| 12–16 | -0.03 | 18% | 21 Nov → | ||
| 13–5 | 0.07 | 14% | 21 Nov → | ||
| 13–6 | 0.06 | 24% | 20 Nov → | ||
| 13–7 | 0.07 | 16% | 18 Nov → | ||
| 10–13 | -0.04 | 22% | 14 Nov → | ||
| 5–13 | 0.01 | 20% | 13 Nov → | ||
| 1–8 | -0.03 | 17% | 12 Nov → | ||
| 11–13 | 0.01 | 21% | 10 Nov → | ||
| 13–7 | 0.04 | 19% | 9 Nov → | ||
| 10–13 | -0.05 | 11% | 9 Nov → | ||
| 7–13 | -0.00 | 14% | 6 Nov → | ||
| 5–13 | 0.00 | 20% | 4 Nov → | ||
| 13–4 | 0.04 | 21% | 30 Oct → |
Match data via Leetify.