siv — CS2 Stats
76561198421129574[U:1:460863846]✓ No bans
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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
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafingStrong 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 b1t 95% playstyle similarity
Most alike: utility contribution, 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
Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 55% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 648ms 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 6.4/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 17 | 8–9 | 47% | 0.02 | |
| A | 16 | 9–7 | 56% | 0.00 | |
| D | 15 | 5–10 | 33% | -0.00 | |
| A | 12 | 7–5 | 58% | 0.02 | |
| B | 12 | 6–6 | 50% | 0.02 | |
| D | 11 | 2–9 | 18% | 0.03 | |
| A | 11 | 7–4 | 64% | 0.00 | |
| D | 5 | 1–4 | 20% | 0.02 | |
| — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 113 | 53% | 1.04 | 15.2 |
| Ancient | 82 | 56% | 1.16 | 16.9 |
| Anubis | 78 | 46% | 1.00 | 15.4 |
| Inferno | 75 | 49% | 1.10 | 16.4 |
| Dust2 | 29 | 55% | 1.05 | 15.4 |
| Nuke | 25 | 60% | 1.17 | 18.0 |
| Train | 16 | 56% | 1.00 | 17.1 |
| Overpass | 8 | 38% | 1.16 | 16.5 |
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 34.8078% — 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.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | 0.02 | 41% | 23 Aug → | ||
| 13–6 | 0.08 | 35% | 25 Jul → | ||
| 13–9 | -0.04 | 33% | 21 Jul → | ||
| 3–13 | 0.05 | 28% | 18 Jul → | ||
| 7–13 | 0.10 | 32% | 18 Jul → | ||
| 13–2 | 0.05 | 28% | 16 Jul → | ||
| 9–13 | 0.11 | 23% | 16 Jul → | ||
| 13–2 | 0.14 | 21% | 14 Jun → | ||
| 11–13 | 0.02 | 27% | 29 May → | ||
| 13–11 | 0.01 | 16% | 28 May → | ||
| 8–0 | 0.09 | 18% | 26 May → | ||
| 6–13 | 0.05 | 23% | 25 May → | ||
| 10–13 | -0.03 | 26% | 25 May → | ||
| 13–5 | -0.03 | 28% | 25 May → | ||
| 9–13 | 0.03 | 24% | 22 May → | ||
| 13–9 | 0.08 | 22% | 21 May → | ||
| 13–11 | -0.02 | 23% | 19 May → | ||
| 11–13 | 0.00 | 28% | 19 May → | ||
| 8–13 | -0.02 | 27% | 18 May → | ||
| 13–9 | 0.10 | 30% | 16 May → | ||
| 13–8 | 0.04 | 18% | 16 May → | ||
| 6–13 | -0.07 | 9% | 16 May → | ||
| 8–13 | 0.11 | 23% | 8 May → | ||
| 13–10 | 0.05 | 34% | 8 May → | ||
| 13–5 | 0.02 | 27% | 6 May → | ||
| 13–11 | 0.02 | 26% | 5 May → | ||
| 9–13 | 0.07 | 18% | 4 May → | ||
| 0–13 | -0.05 | 20% | 4 May → | ||
| 13–11 | -0.04 | 29% | 4 May → | ||
| 1–7 | 0.01 | 29% | 4 May → | ||
| 7–13 | 0.08 | 23% | 28 Apr → | ||
| 8–13 | -0.01 | 21% | 28 Apr → | ||
| 7–13 | -0.05 | 22% | 28 Apr → | ||
| 13–10 | 0.05 | 17% | 28 Apr → | ||
| 25–23 | -0.03 | 23% | 27 Apr → | ||
| 9–13 | -0.06 | 26% | 27 Apr → | ||
| 3–13 | -0.02 | 35% | 27 Apr → | ||
| 10–13 | -0.06 | 17% | 24 Apr → | ||
| 10–13 | -0.04 | 16% | 24 Apr → | ||
| 11–13 | 0.07 | 20% | 24 Apr → | ||
| 13–2 | 0.03 | 23% | 24 Apr → | ||
| 13–11 | 0.03 | 21% | 23 Apr → | ||
| 9–13 | -0.04 | 29% | 23 Apr → | ||
| 10–13 | -0.05 | 14% | 23 Apr → | ||
| 13–11 | 0.01 | 13% | 22 Apr → | ||
| 4–13 | -0.02 | 29% | 21 Apr → | ||
| 16–12 | -0.00 | 15% | 21 Apr → | ||
| 13–7 | 0.02 | 17% | 17 Apr → | ||
| 13–11 | 0.03 | 16% | 17 Apr → | ||
| 7–13 | -0.03 | 6% | 17 Apr → | ||
| 13–5 | 0.11 | 15% | 15 Apr → | ||
| 13–4 | 0.06 | 16% | 13 Apr → | ||
| 13–16 | -0.02 | 19% | 13 Apr → | ||
| 8–13 | -0.03 | 24% | 11 Apr → | ||
| 13–7 | 0.01 | 16% | 10 Apr → | ||
| 13–8 | 0.01 | 20% | 9 Apr → | ||
| 13–8 | -0.01 | 17% | 9 Apr → | ||
| 5–13 | -0.01 | 12% | 9 Apr → | ||
| 4–13 | -0.04 | 21% | 7 Apr → | ||
| 13–11 | 0.01 | 21% | 1 Apr → | ||
| 13–8 | -0.02 | 18% | 31 Mar → | ||
| 13–8 | -0.01 | 19% | 30 Mar → | ||
| 16–14 | -0.00 | 20% | 27 Mar → | ||
| 8–13 | -0.01 | 26% | 25 Mar → | ||
| 11–13 | 0.02 | 23% | 25 Mar → | ||
| 14–16 | -0.02 | 30% | 24 Mar → | ||
| 10–13 | -0.01 | 19% | 24 Mar → | ||
| 7–13 | -0.02 | 19% | 24 Mar → | ||
| 5–13 | 0.02 | 24% | 19 Mar → | ||
| 13–8 | 0.08 | 19% | 17 Mar → | ||
| 13–11 | -0.01 | 24% | 14 Mar → | ||
| 13–9 | 0.08 | 18% | 13 Mar → | ||
| 15–15 | 0.04 | 22% | 9 Mar → | ||
| 13–10 | -0.03 | 20% | 9 Mar → | ||
| 13–9 | -0.00 | 11% | 7 Mar → | ||
| 13–10 | 0.08 | 16% | 7 Mar → | ||
| 5–13 | -0.04 | 17% | 7 Mar → | ||
| 12–16 | -0.01 | 27% | 5 Mar → | ||
| 5–13 | 0.08 | 21% | 5 Mar → | ||
| 7–13 | -0.05 | 17% | 5 Mar → | ||
| 11–13 | -0.01 | 20% | 4 Mar → | ||
| 2–13 | -0.04 | 46% | 4 Mar → | ||
| 19–16 | 0.03 | 18% | 4 Mar → | ||
| 9–13 | 0.02 | 31% | 2 Mar → | ||
| 13–11 | 0.01 | 11% | 2 Mar → | ||
| 10–13 | -0.03 | 29% | 16 Feb → | ||
| 16–12 | -0.02 | 16% | 16 Feb → | ||
| 13–5 | 0.01 | 24% | 26 Jan → | ||
| 9–13 | 0.07 | 20% | 24 Jan → | ||
| 13–9 | 0.05 | 29% | 17 Jan → | ||
| 13–6 | 0.10 | 25% | 17 Jan → | ||
| 15–15 | 0.12 | 24% | 13 Jan → | ||
| 8–13 | -0.06 | 36% | 11 Jan → | ||
| 6–13 | -0.01 | 31% | 10 Jan → | ||
| 17–19 | 0.04 | 33% | 4 Jan → | ||
| 6–13 | -0.11 | 13% | 3 Jan → | ||
| 13–10 | 0.03 | 38% | 30 Dec → | ||
| 6–13 | -0.04 | 27% | 6 Nov → | ||
| 11–13 | -0.03 | 20% | 2 Nov → | ||
| 12–12 | -0.01 | 31% | 31 Oct → |
Match data via Leetify.