VEL1 — CS2 Stats
FI76561198981190978[U:1:1020925250]Steam profile ↗✓ No bans
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 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 ropz 86% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: 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
T-side openings. Opening success drops from 59% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| C | 23 | 10–13 | 43% | -0.01 | |
| A | 20 | 11–9 | 55% | 0.00 | |
| B | 19 | 10–9 | 53% | -0.00 | |
| D | 10 | 2–8 | 20% | -0.01 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| A | 5 | 3–2 | 60% | -0.00 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.00 | |
| office | — | 1 | 0–1 | 0% | -0.02 |
| — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 70 | 53% | 0.92 | 15.2 |
| Nuke | 59 | 53% | 0.96 | 15.3 |
| Anubis | 59 | 46% | 1.04 | 16.4 |
| Mirage | 49 | 55% | 1.04 | 15.7 |
| Ancient | 36 | 50% | 0.87 | 13.6 |
| Overpass | 25 | 64% | 0.97 | 16.1 |
| Dust2 | 23 | 43% | 0.88 | 14.7 |
| Cache | 6 | 33% | 0.92 | 16.3 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4525 — below the 0.5 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 33.7323% — 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.
20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.04 | 17% | 26 Aug → | ||
| 9–13 | -0.05 | 26% | 24 Aug → | ||
| 13–5 | 0.02 | 25% | 24 Aug → | ||
| 13–11 | -0.01 | 8% | 24 Aug → | ||
| 13–9 | -0.03 | 23% | 24 Aug → | ||
| 13–7 | -0.04 | 15% | 23 Aug → | ||
| 11–13 | -0.03 | 16% | 23 Aug → | ||
| 13–16 | -0.05 | 18% | 23 Aug → | ||
| 11–13 | -0.01 | 20% | 23 Aug → | ||
| 12–16 | 0.04 | 8% | 21 Aug → | ||
| 16–13 | 0.00 | 13% | 21 Aug → | ||
| 12–16 | 0.03 | 17% | 20 Aug → | ||
| office | 5–13 | -0.02 | 35% | 19 Aug → | |
| 4–13 | -0.01 | 28% | 19 Aug → | ||
| 8–13 | -0.03 | 21% | 19 Aug → | ||
| 13–11 | -0.02 | 26% | 19 Aug → | ||
| 12–1 | 0.05 | 6% | 19 Aug → | ||
| 19–17 | 0.00 | 20% | 19 Aug → | ||
| 13–5 | 0.07 | 21% | 19 Aug → | ||
| 9–13 | -0.01 | 26% | 19 Aug → | ||
| 13–7 | 0.08 | 18% | 19 Aug → | ||
| 13–16 | -0.00 | 18% | 18 Aug → | ||
| 9–13 | -0.05 | 14% | 16 Aug → | ||
| 13–10 | 0.05 | 17% | 16 Aug → | ||
| 16–12 | 0.09 | 19% | 16 Aug → | ||
| 10–13 | 0.00 | 16% | 16 Aug → | ||
| 13–11 | 0.01 | 21% | 16 Aug → | ||
| 11–13 | -0.01 | 23% | 14 Aug → | ||
| 13–8 | 0.00 | 12% | 14 Aug → | ||
| 15–15 | 0.00 | 22% | 14 Aug → | ||
| 5–13 | -0.04 | 25% | 13 Aug → | ||
| 7–13 | -0.09 | 21% | 13 Aug → | ||
| 9–13 | -0.04 | 20% | 12 Aug → | ||
| 22–20 | -0.02 | 15% | 11 Aug → | ||
| 14–16 | -0.01 | 15% | 11 Aug → | ||
| 11–13 | -0.04 | 16% | 11 Aug → | ||
| 11–13 | -0.05 | 18% | 10 Aug → | ||
| 10–13 | -0.01 | 20% | 10 Aug → | ||
| 13–7 | 0.04 | 30% | 10 Aug → | ||
| 10–13 | -0.00 | 19% | 9 Aug → | ||
| 13–11 | -0.04 | 22% | 9 Aug → | ||
| 19–15 | -0.02 | 18% | 9 Aug → | ||
| 13–9 | 0.01 | 18% | 9 Aug → | ||
| 3–13 | 0.01 | 24% | 8 Aug → | ||
| 13–7 | -0.03 | 17% | 8 Aug → | ||
| 5–13 | -0.03 | 12% | 8 Aug → | ||
| 13–8 | 0.10 | 19% | 8 Aug → | ||
| 4–13 | -0.07 | 14% | 8 Aug → | ||
| 13–9 | 0.05 | 12% | 8 Aug → | ||
| 6–13 | -0.02 | 12% | 8 Aug → | ||
| 13–7 | -0.03 | 14% | 8 Aug → | ||
| 7–13 | 0.01 | 8% | 8 Aug → | ||
| 10–13 | -0.01 | 25% | 7 Aug → | ||
| 4–13 | 0.03 | 28% | 7 Aug → | ||
| 8–13 | -0.03 | 11% | 7 Aug → | ||
| 8–13 | -0.08 | 14% | 7 Aug → | ||
| 13–5 | 0.05 | 17% | 7 Aug → | ||
| 6–9 | -0.08 | 26% | 5 Aug → | ||
| 11–13 | 0.11 | 26% | 4 Aug → | ||
| 9–4 | 0.10 | 18% | 4 Aug → | ||
| 9–13 | -0.03 | 10% | 2 Aug → | ||
| 13–5 | 0.01 | 16% | 2 Aug → | ||
| 9–13 | 0.01 | 20% | 2 Aug → | ||
| 13–4 | 0.08 | 12% | 2 Aug → | ||
| 13–9 | 0.05 | 22% | 2 Aug → | ||
| 6–13 | 0.00 | 17% | 2 Aug → | ||
| 6–13 | -0.06 | 20% | 31 Jul → | ||
| 13–7 | 0.01 | 16% | 31 Jul → | ||
| 13–9 | -0.03 | 20% | 30 Jul → | ||
| 11–13 | 0.05 | 13% | 29 Jul → | ||
| 13–10 | 0.03 | 17% | 29 Jul → | ||
| 13–8 | -0.06 | 10% | 29 Jul → | ||
| 13–9 | 0.07 | 9% | 29 Jul → | ||
| 13–7 | 0.07 | 13% | 28 Jul → | ||
| 1–13 | -0.11 | 10% | 28 Jul → | ||
| 10–13 | -0.02 | 16% | 27 Jul → | ||
| 4–13 | -0.04 | 15% | 27 Jul → | ||
| 7–13 | -0.03 | 17% | 27 Jul → | ||
| 10–13 | -0.02 | 25% | 24 Jul → | ||
| 13–10 | 0.03 | 16% | 24 Jul → | ||
| 8–13 | -0.03 | 10% | 23 Jul → | ||
| 6–13 | 0.03 | 31% | 22 Jul → | ||
| 13–5 | -0.04 | 14% | 21 Jul → | ||
| 13–2 | -0.01 | 10% | 18 Jul → | ||
| 13–11 | -0.08 | 18% | 18 Jul → | ||
| 13–16 | 0.03 | 18% | 18 Jul → | ||
| 14–16 | -0.02 | 13% | 18 Jul → | ||
| 16–14 | -0.03 | 18% | 17 Jul → | ||
| 6–13 | 0.01 | 19% | 16 Jul → | ||
| 13–10 | -0.04 | 22% | 16 Jul → | ||
| 13–5 | 0.07 | 9% | 16 Jul → | ||
| 13–10 | -0.03 | 17% | 15 Jul → | ||
| 13–5 | 0.06 | 15% | 15 Jul → | ||
| 16–14 | 0.02 | 25% | 15 Jul → | ||
| 13–6 | 0.03 | 20% | 15 Jul → | ||
| 7–13 | -0.11 | 19% | 13 Jul → | ||
| 4–13 | -0.04 | 17% | 13 Jul → | ||
| 5–13 | -0.02 | 17% | 13 Jul → | ||
| 13–11 | -0.05 | 16% | 12 Jul → | ||
| 8–13 | -0.03 | 24% | 12 Jul → |
Match data via Leetify.