Dow — CS2 Stats
US76561198218904093[U:1:258638365]Steam profile ↗
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: -20pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerExcellent counter-strafing
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 95% playstyle similarity
Most alike: positioning profile, 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
Strengths
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
Areas to improve
Reaction time. 596ms 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 6.7/10 (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 |
|---|---|---|---|---|---|
| C | 35 | 15–20 | 43% | 0.03 | |
| A | 22 | 12–10 | 55% | 0.03 | |
| A | 16 | 9–7 | 56% | 0.04 | |
| C | 10 | 4–6 | 40% | 0.01 | |
| S | 9 | 6–3 | 67% | 0.03 | |
| C | 7 | 3–4 | 43% | 0.02 | |
| — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 59 | 56% | 1.28 | 18.9 |
| Mirage | 48 | 48% | 1.17 | 17.0 |
| Anubis | 46 | 54% | 1.22 | 16.9 |
| Ancient | 46 | 67% | 1.26 | 17.6 |
| Nuke | 30 | 47% | 1.22 | 18.9 |
| Cache | 6 | 50% | 1.02 | 15.5 |
| Inferno | 4 | 75% | 1.74 | 18.0 |
| Overpass | 1 | 0% | 0.79 | 15.0 |
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 0.4678 — 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 36.4166% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–16 | 0.05 | 16% | 29 Aug → | ||
| 13–8 | 0.04 | 33% | 26 Aug → | ||
| 10–13 | -0.01 | 34% | 13 Aug → | ||
| 15–15 | 0.01 | 27% | 13 Aug → | ||
| 10–13 | 0.04 | 21% | 12 Aug → | ||
| 13–4 | 0.04 | 28% | 12 Aug → | ||
| 9–13 | 0.04 | 29% | 11 Aug → | ||
| 13–4 | 0.05 | 17% | 11 Aug → | ||
| 5–13 | -0.00 | 21% | 8 Aug → | ||
| 6–13 | 0.01 | 50% | 4 Aug → | ||
| 13–2 | 0.04 | 30% | 4 Aug → | ||
| 13–6 | 0.12 | 28% | 4 Aug → | ||
| 5–13 | -0.06 | 26% | 2 Aug → | ||
| 13–8 | 0.00 | 26% | 31 Jul → | ||
| 0–13 | 0.00 | 33% | 30 Jul → | ||
| 13–10 | -0.01 | 31% | 30 Jul → | ||
| 5–13 | -0.06 | 21% | 30 Jul → | ||
| 10–13 | -0.00 | 25% | 30 Jul → | ||
| 8–13 | 0.01 | 24% | 30 Jul → | ||
| 10–3 | 0.07 | 19% | 30 Jul → | ||
| 4–13 | 0.03 | 46% | 30 Jul → | ||
| 5–13 | -0.02 | 21% | 30 Jul → | ||
| 3–13 | -0.05 | 21% | 30 Jul → | ||
| 10–13 | 0.02 | 16% | 30 Jul → | ||
| 13–7 | 0.01 | 38% | 29 Jul → | ||
| 13–11 | -0.04 | 30% | 29 Jul → | ||
| 13–8 | 0.04 | 26% | 29 Jul → | ||
| 19–15 | -0.01 | 25% | 29 Jul → | ||
| 11–13 | -0.08 | 10% | 28 Jul → | ||
| 7–13 | 0.01 | 39% | 28 Jul → | ||
| 13–11 | -0.01 | 33% | 27 Jul → | ||
| 13–5 | 0.03 | 15% | 27 Jul → | ||
| 13–11 | 0.04 | 27% | 23 Jul → | ||
| 13–4 | 0.03 | 31% | 23 Jul → | ||
| 13–5 | 0.10 | 15% | 23 Jul → | ||
| 3–13 | 0.05 | 15% | 23 Jul → | ||
| 13–2 | 0.12 | 15% | 23 Jul → | ||
| 3–7 | -0.04 | 22% | 23 Jul → | ||
| 9–13 | 0.04 | 40% | 22 Jul → | ||
| 17–19 | 0.05 | 26% | 22 Jul → | ||
| 13–6 | 0.07 | 27% | 22 Jul → | ||
| 7–13 | 0.03 | 18% | 21 Jul → | ||
| 13–9 | 0.08 | 29% | 21 Jul → | ||
| 13–7 | 0.01 | 38% | 21 Jul → | ||
| 13–5 | 0.02 | 17% | 21 Jul → | ||
| 3–13 | -0.07 | 13% | 21 Jul → | ||
| 8–13 | -0.04 | 26% | 21 Jul → | ||
| 3–13 | -0.02 | 21% | 21 Jul → | ||
| 5–2 | 0.05 | 24% | 21 Jul → | ||
| 1–13 | -0.08 | 18% | 21 Jul → | ||
| 8–13 | 0.05 | 31% | 20 Jul → | ||
| 13–3 | 0.13 | 44% | 17 Jul → | ||
| 13–8 | 0.03 | 32% | 17 Jul → | ||
| 13–9 | 0.04 | 23% | 17 Jul → | ||
| 14–16 | 0.01 | 20% | 15 Jul → | ||
| 13–7 | -0.01 | 18% | 15 Jul → | ||
| 11–13 | 0.11 | 34% | 14 Jul → | ||
| 9–13 | -0.02 | 30% | 13 Jul → | ||
| 8–13 | 0.02 | 29% | 10 Jul → | ||
| 11–13 | 0.06 | 22% | 9 Jul → | ||
| 12–12 | 0.00 | 24% | 9 Jul → | ||
| 13–5 | 0.04 | 21% | 9 Jul → | ||
| 13–5 | 0.07 | 27% | 8 Jul → | ||
| 13–1 | 0.10 | 17% | 8 Jul → | ||
| 13–5 | -0.00 | 33% | 8 Jul → | ||
| 10–13 | 0.07 | 26% | 8 Jul → | ||
| 13–11 | 0.06 | 32% | 3 Jul → | ||
| 13–3 | -0.02 | 15% | 3 Jul → | ||
| 11–13 | -0.01 | 29% | 2 Jul → | ||
| 13–8 | 0.04 | 31% | 2 Jul → | ||
| 13–4 | 0.07 | 26% | 2 Jul → | ||
| 12–12 | -0.03 | 19% | 2 Jul → | ||
| 10–13 | 0.06 | 27% | 1 Jul → | ||
| 11–13 | 0.13 | 32% | 1 Jul → | ||
| 13–8 | 0.09 | 38% | 27 Jun → | ||
| 12–12 | 0.17 | 29% | 25 Jun → | ||
| 13–7 | 0.05 | 23% | 25 Jun → | ||
| 12–12 | 0.03 | 38% | 25 Jun → | ||
| 5–13 | -0.03 | 15% | 25 Jun → | ||
| 8–13 | -0.04 | 26% | 24 Jun → | ||
| 9–13 | -0.09 | 33% | 24 Jun → | ||
| 7–13 | -0.08 | 7% | 23 Jun → | ||
| 13–8 | 0.04 | 21% | 23 Jun → | ||
| 7–13 | 0.05 | 23% | 23 Jun → | ||
| 13–2 | 0.14 | 23% | 23 Jun → | ||
| 11–13 | 0.04 | 21% | 23 Jun → | ||
| 13–4 | 0.07 | 34% | 22 Jun → | ||
| 11–1 | 0.12 | 39% | 22 Jun → | ||
| 8–13 | 0.06 | 30% | 22 Jun → | ||
| 9–13 | -0.04 | 33% | 22 Jun → | ||
| 13–5 | 0.19 | 35% | 17 Jun → | ||
| 7–2 | -0.00 | 20% | 17 Jun → | ||
| 13–6 | 0.05 | 22% | 17 Jun → | ||
| 13–2 | 0.02 | 17% | 17 Jun → | ||
| 13–7 | 0.12 | 30% | 17 Jun → | ||
| 7–13 | 0.01 | 21% | 17 Jun → | ||
| 13–7 | 0.01 | 25% | 16 Jun → | ||
| 13–3 | 0.09 | 46% | 16 Jun → | ||
| 9–13 | 0.05 | 28% | 16 Jun → | ||
| 13–4 | 0.10 | 35% | 16 Jun → |
Match data via Leetify.
Recent teammates
- 39Player 39893928 recent matches together
- 32Player 50333242 recent matches together
- 13Player 82481311 recent matches together
- 97Player 52139742 recent matches together
- 51Player 17845144 recent matches together
- 44Player 01044435 recent matches together
- 98Player 78419810 recent matches together
- 79Player 89897910 recent matches together