Veikka — CS2 Stats
76561198117856412[U:1:157590684]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.01 avg rating
Player DNA
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 82% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: higher 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
CT openings. Opening success drops from 47% on T to 27% on CT — first contacts on the defending side are being lost.
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 4.5/10 (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 |
|---|---|---|---|---|---|
| S | 24 | 18–6 | 75% | 0.04 | |
| C | 24 | 9–15 | 38% | -0.00 | |
| S | 16 | 12–4 | 75% | 0.03 | |
| S | 10 | 8–2 | 80% | 0.01 | |
| S | 10 | 8–2 | 80% | 0.01 | |
| C | 8 | 3–5 | 38% | -0.02 | |
| A | 5 | 3–2 | 60% | 0.00 | |
| office | — | 2 | 2–0 | 100% | 0.01 |
| — | 1 | 0–1 | 0% | -0.10 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Inferno 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.
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 26.944% — 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.
38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | -0.00 | 14% | 26 Apr → | ||
| 13–11 | -0.03 | 22% | 26 Apr → | ||
| 9–3 | 0.05 | 16% | 26 Apr → | ||
| 3–13 | -0.10 | 14% | 21 Apr → | ||
| 13–8 | 0.01 | 26% | 19 Apr → | ||
| 3–13 | 0.02 | 12% | 19 Apr → | ||
| 13–4 | 0.12 | 25% | 19 Apr → | ||
| 15–15 | 0.09 | 23% | 19 Apr → | ||
| 11–13 | -0.03 | 17% | 19 Apr → | ||
| 9–13 | -0.02 | 17% | 16 Apr → | ||
| 8–13 | -0.06 | 10% | 16 Apr → | ||
| 13–1 | 0.04 | 19% | 16 Apr → | ||
| 13–6 | 0.02 | 29% | 15 Apr → | ||
| 16–13 | 0.03 | 13% | 15 Apr → | ||
| 13–6 | 0.01 | 7% | 15 Apr → | ||
| 6–10 | -0.06 | 22% | 15 Apr → | ||
| 11–13 | 0.03 | 19% | 15 Apr → | ||
| 13–7 | 0.00 | 15% | 15 Apr → | ||
| 13–16 | 0.02 | 7% | 13 Apr → | ||
| 6–13 | 0.04 | 22% | 13 Apr → | ||
| 11–13 | 0.03 | 11% | 13 Apr → | ||
| 13–8 | 0.04 | 22% | 13 Apr → | ||
| 13–7 | 0.01 | 20% | 12 Apr → | ||
| 13–7 | -0.03 | 11% | 12 Apr → | ||
| 4–13 | -0.07 | 11% | 12 Apr → | ||
| 13–1 | 0.10 | 31% | 8 Apr → | ||
| 13–7 | 0.04 | 24% | 8 Apr → | ||
| 10–13 | -0.11 | 5% | 8 Apr → | ||
| 13–9 | 0.02 | 17% | 8 Apr → | ||
| 13–7 | -0.08 | 15% | 6 Apr → | ||
| 9–13 | -0.05 | 8% | 6 Apr → | ||
| 13–8 | 0.00 | 11% | 6 Apr → | ||
| 13–11 | -0.04 | 22% | 5 Apr → | ||
| 13–8 | 0.07 | 22% | 4 Apr → | ||
| 13–4 | -0.04 | 16% | 3 Apr → | ||
| 16–13 | -0.06 | 21% | 1 Apr → | ||
| 13–10 | 0.06 | 23% | 1 Apr → | ||
| 7–13 | -0.06 | 32% | 1 Apr → | ||
| 5–13 | -0.02 | 14% | 31 Mar → | ||
| 7–13 | -0.07 | 24% | 31 Mar → | ||
| 13–11 | 0.01 | 20% | 31 Mar → | ||
| 3–13 | 0.04 | 20% | 30 Mar → | ||
| 9–13 | -0.01 | 14% | 30 Mar → | ||
| 13–11 | 0.02 | 14% | 30 Mar → | ||
| 13–10 | 0.09 | 18% | 30 Mar → | ||
| 13–7 | 0.02 | 26% | 30 Mar → | ||
| 13–8 | -0.05 | 29% | 30 Mar → | ||
| 8–13 | -0.03 | 25% | 30 Mar → | ||
| 1–8 | -0.05 | 28% | 30 Mar → | ||
| 8–13 | -0.03 | 14% | 30 Mar → | ||
| 2–13 | -0.10 | 10% | 30 Mar → | ||
| 13–5 | -0.01 | 10% | 30 Mar → | ||
| 13–6 | 0.08 | 18% | 30 Mar → | ||
| 13–6 | 0.14 | 15% | 30 Mar → | ||
| 13–4 | -0.07 | 20% | 29 Mar → | ||
| 13–10 | -0.06 | 34% | 29 Mar → | ||
| 13–5 | 0.01 | 39% | 29 Mar → | ||
| 7–1 | 0.10 | 29% | 29 Mar → | ||
| 11–13 | -0.01 | 19% | 29 Mar → | ||
| 7–13 | -0.04 | 21% | 25 Mar → | ||
| 6–13 | -0.08 | 18% | 25 Mar → | ||
| 13–7 | 0.03 | 15% | 25 Mar → | ||
| 2–13 | -0.04 | 23% | 25 Mar → | ||
| 11–13 | 0.07 | 30% | 24 Mar → | ||
| 6–13 | 0.01 | 21% | 24 Mar → | ||
| 13–5 | -0.06 | 15% | 24 Mar → | ||
| 13–2 | 0.15 | 45% | 24 Mar → | ||
| 11–4 | 0.03 | 18% | 24 Mar → | ||
| 13–11 | 0.02 | 27% | 24 Mar → | ||
| 13–6 | 0.08 | 17% | 23 Mar → | ||
| 13–16 | 0.02 | 31% | 23 Mar → | ||
| 13–6 | 0.08 | 23% | 22 Mar → | ||
| 9–6 | -0.02 | 21% | 22 Mar → | ||
| 13–7 | 0.00 | 34% | 22 Mar → | ||
| 16–13 | 0.05 | 14% | 22 Mar → | ||
| 13–3 | 0.13 | 17% | 22 Mar → | ||
| 13–8 | 0.09 | 30% | 22 Mar → | ||
| 11–13 | 0.08 | 24% | 21 Mar → | ||
| 13–3 | 0.04 | 15% | 21 Mar → | ||
| 13–8 | 0.12 | 17% | 21 Mar → | ||
| 13–10 | 0.03 | 28% | 21 Mar → | ||
| 13–5 | 0.12 | 36% | 21 Mar → | ||
| 13–16 | 0.03 | 17% | 21 Mar → | ||
| 3–10 | 0.05 | 17% | 21 Mar → | ||
| 13–9 | 0.08 | 17% | 21 Mar → | ||
| 6–13 | -0.02 | 15% | 21 Mar → | ||
| 13–6 | -0.07 | 44% | 21 Mar → | ||
| 16–14 | 0.06 | 21% | 20 Mar → | ||
| 11–13 | 0.02 | 16% | 20 Mar → | ||
| 13–5 | 0.13 | 24% | 19 Mar → | ||
| 13–11 | 0.01 | 25% | 19 Mar → | ||
| 9–13 | -0.05 | 22% | 19 Mar → | ||
| 13–4 | 0.10 | 27% | 19 Mar → | ||
| 13–4 | 0.12 | 31% | 18 Mar → | ||
| 10–13 | -0.10 | 32% | 18 Mar → | ||
| 13–9 | -0.01 | 24% | 18 Mar → | ||
| 13–9 | -0.02 | 27% | 11 Mar → | ||
| 13–9 | 0.02 | 33% | 9 Mar → | ||
| office | 13–8 | 0.07 | 27% | 3 Mar → | |
| office | 4–0 | -0.05 | 0% | 3 Mar → |
Match data via Leetify.