Aleksib — CS2 Stats
PRONatus VincereFinlandIGLSettings & gear profile →
76561198013243326[U:1:52977598]
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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: Support — Utility contribution leads the profile while opening activity stays low.
Sharp aimerStrong CT-side openerHigh utility contribution
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 81% playstyle similarity
Most alike: aim profile, utility contribution.
Where you differ: lower positioning profile; lower opening-fight frequency.
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 86 — the mechanical foundation is a clear strength.
Utility. Utility score of 76 — grenade impact well above the norm.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 47 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 43% on CT to 9% 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 6.5/10 (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 |
|---|---|---|---|---|---|
| A | 22 | 14–8 | 64% | -0.03 | |
| A | 22 | 13–9 | 59% | -0.02 | |
| A | 18 | 11–7 | 61% | -0.02 | |
| B | 17 | 9–8 | 53% | -0.01 | |
| A | 11 | 6–5 | 55% | -0.02 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| — | 2 | 1–1 | 50% | 0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 118 | 70% | 1.63 | 19.1 |
| Nuke | 51 | 78% | 1.65 | 20.3 |
| Dust2 | 45 | 71% | 1.49 | 18.8 |
| Anubis | 35 | 69% | 1.30 | 15.8 |
| Inferno | 23 | 57% | 1.27 | 15.8 |
| Ancient | 11 | 45% | 0.96 | 15.0 |
| Train | 6 | 83% | 2.08 | 17.5 |
| Overpass | 5 | 60% | 0.88 | 13.8 |
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 9.2717% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | -0.00 | 23% | 26 Aug → | ||
| 6–13 | -0.02 | 21% | 26 Aug → | ||
| 6–13 | -0.06 | 14% | 26 Aug → | ||
| 2–13 | -0.09 | 12% | 20 Aug → | ||
| 9–13 | -0.03 | 20% | 20 Aug → | ||
| 9–13 | 0.01 | 15% | 15 Aug → | ||
| 13–5 | 0.08 | 21% | 15 Aug → | ||
| 13–8 | -0.04 | 13% | 15 Aug → | ||
| 13–9 | -0.02 | 13% | 12 Aug → | ||
| 14–16 | 0.02 | 18% | 15 Jun → | ||
| 10–12 | -0.03 | 43% | 15 Jun → | ||
| 13–11 | -0.01 | 22% | 15 Jun → | ||
| 0–1 | -0.16 | 0% | 15 Jun → | ||
| 3–13 | -0.08 | 13% | 14 Jun → | ||
| 13–7 | 0.02 | 13% | 14 Jun → | ||
| 13–14 | -0.01 | 13% | 14 Jun → | ||
| 3–5 | -0.01 | 27% | 14 Jun → | ||
| 16–13 | -0.00 | 12% | 13 Jun → | ||
| 8–13 | -0.10 | 13% | 13 Jun → | ||
| 13–6 | -0.04 | 13% | 13 Jun → | ||
| 13–10 | 0.02 | 14% | 12 Jun → | ||
| 13–4 | 0.03 | 15% | 12 Jun → | ||
| 1–13 | -0.05 | 25% | 11 Jun → | ||
| 3–13 | 0.05 | 34% | 4 Jun → | ||
| 13–2 | 0.02 | 29% | 4 Jun → | ||
| 16–13 | -0.00 | 21% | 17 May → | ||
| 13–9 | -0.02 | 8% | 17 May → | ||
| 13–3 | -0.08 | 21% | 17 May → | ||
| 13–8 | 0.06 | 24% | 16 May → | ||
| 13–6 | 0.02 | 45% | 16 May → | ||
| 13–11 | -0.04 | 12% | 16 May → | ||
| 13–3 | 0.02 | 18% | 16 May → | ||
| 11–13 | -0.02 | 19% | 16 May → | ||
| 6–13 | -0.06 | 11% | 14 May → | ||
| 11–13 | -0.09 | 9% | 14 May → | ||
| 13–8 | -0.08 | 11% | 14 May → | ||
| 0–2 | -0.06 | 20% | 12 May → | ||
| 1–11 | -0.09 | 7% | 12 May → | ||
| 13–4 | 0.06 | 22% | 12 May → | ||
| 13–11 | 0.00 | 10% | 12 May → | ||
| 13–4 | 0.08 | 26% | 11 May → | ||
| 16–13 | -0.05 | 17% | 11 May → | ||
| 3–13 | -0.08 | 29% | 3 May → | ||
| 11–13 | -0.07 | 11% | 3 May → | ||
| 12–16 | -0.01 | 14% | 3 May → | ||
| 13–11 | -0.03 | 3% | 2 May → | ||
| 13–5 | 0.04 | 30% | 2 May → | ||
| 13–10 | -0.04 | 8% | 1 May → | ||
| 13–4 | 0.04 | 20% | 1 May → | ||
| 13–7 | -0.01 | 12% | 29 Apr → | ||
| 13–11 | -0.04 | 10% | 29 Apr → | ||
| 6–13 | -0.04 | 17% | 17 Apr → | ||
| 0–5 | -0.04 | 25% | 17 Apr → | ||
| 4–8 | 0.06 | 6% | 17 Apr → | ||
| 11–13 | -0.08 | 15% | 15 Apr → | ||
| 13–4 | 0.01 | 30% | 15 Apr → | ||
| 13–4 | 0.02 | 12% | 15 Apr → | ||
| 13–9 | -0.05 | 12% | 15 Apr → | ||
| 13–7 | -0.02 | 24% | 15 Apr → | ||
| 4–13 | -0.00 | 13% | 14 Apr → | ||
| 13–16 | -0.03 | 8% | 14 Apr → | ||
| 13–3 | -0.01 | 9% | 14 Apr → | ||
| 5–0 | 0.04 | 17% | 13 Apr → | ||
| 4–13 | -0.06 | 7% | 13 Apr → | ||
| 13–0 | 0.07 | 21% | 13 Apr → | ||
| 8–5 | -0.01 | 28% | 13 Apr → | ||
| 10–13 | -0.02 | 16% | 29 Mar → | ||
| 10–13 | -0.01 | 28% | 29 Mar → | ||
| 7–13 | -0.06 | 24% | 29 Mar → | ||
| 13–7 | -0.04 | 17% | 28 Mar → | ||
| 8–13 | -0.02 | 11% | 28 Mar → | ||
| 13–11 | -0.06 | 17% | 28 Mar → | ||
| 13–8 | 0.01 | 10% | 23 Mar → | ||
| 13–10 | 0.00 | 23% | 23 Mar → | ||
| 13–9 | 0.02 | 24% | 20 Mar → | ||
| 9–13 | -0.03 | 24% | 20 Mar → | ||
| 13–9 | -0.02 | 15% | 20 Mar → | ||
| 17–19 | -0.02 | 17% | 18 Mar → | ||
| 13–9 | -0.02 | 17% | 18 Mar → | ||
| 13–7 | -0.01 | 20% | 18 Mar → | ||
| 13–7 | -0.02 | 15% | 15 Mar → | ||
| 13–9 | -0.06 | 13% | 15 Mar → | ||
| 11–13 | -0.03 | 11% | 15 Mar → | ||
| 5–7 | -0.05 | 60% | 15 Mar → | ||
| 8–1 | 0.13 | 16% | 15 Mar → | ||
| 11–13 | -0.00 | 26% | 14 Mar → | ||
| 13–7 | -0.01 | 15% | 14 Mar → | ||
| 13–5 | -0.01 | 21% | 14 Mar → | ||
| 13–4 | 0.07 | 27% | 13 Mar → | ||
| 13–4 | -0.04 | 5% | 13 Mar → | ||
| 13–11 | -0.01 | 15% | 13 Mar → | ||
| 13–5 | -0.00 | 32% | 10 Mar → | ||
| 13–5 | 0.06 | 22% | 10 Mar → | ||
| 5–13 | -0.09 | 25% | 10 Mar → | ||
| 10–13 | -0.02 | 17% | 9 Mar → | ||
| 4–13 | -0.03 | 22% | 9 Mar → | ||
| 16–14 | 0.00 | 12% | 8 Mar → | ||
| 5–4 | -0.04 | 9% | 8 Mar → | ||
| 8–3 | 0.04 | 29% | 8 Mar → | ||
| 4–8 | -0.05 | 0% | 7 Mar → |
Match data via Leetify.