Dowdie — CS2 Stats
76561198117085601[U:1:156819873]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.02 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Reliable in 1v1s
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 88% playstyle similarity
Most alike: utility contribution, 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
Reaction time. 627ms 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 5.4/10 (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 |
|---|---|---|---|---|---|
| B | 43 | 20–23 | 47% | 0.01 | |
| A | 18 | 10–8 | 56% | 0.00 | |
| S | 17 | 12–5 | 71% | 0.01 | |
| C | 11 | 4–7 | 36% | -0.01 | |
| D | 8 | 1–7 | 13% | -0.01 | |
| — | 1 | 1–0 | 100% | 0.02 | |
| — | 1 | 0–1 | 0% | -0.08 | |
| — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke 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 resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 6 | 33% | 0.84 | 14.7 |
| Ancient | 5 | 40% | 0.78 | 16.0 |
| Anubis | 3 | 33% | 0.86 | 14.3 |
| Nuke | 2 | 50% | 0.52 | 8.0 |
| Inferno | 1 | 100% | 0.76 | 13.0 |
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.
- 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 32.0263% — 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.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.05 | 11% | 17 Jul → | ||
| 11–13 | -0.02 | 17% | 2 May → | ||
| 10–13 | -0.04 | 11% | 2 May → | ||
| 12–16 | 0.02 | 19% | 26 Mar → | ||
| 11–13 | -0.01 | 16% | 21 Mar → | ||
| 8–13 | 0.00 | 20% | 3 Mar → | ||
| 4–13 | -0.07 | 26% | 18 Feb → | ||
| 8–13 | 0.04 | 16% | 6 Feb → | ||
| 13–2 | 0.02 | 18% | 3 Feb → | ||
| 13–11 | -0.01 | 10% | 2 Feb → | ||
| 10–13 | 0.05 | 22% | 18 Jan → | ||
| 10–13 | 0.01 | 18% | 18 Jan → | ||
| 13–8 | 0.02 | 24% | 15 Jan → | ||
| 13–10 | -0.06 | 11% | 14 Jan → | ||
| 13–5 | 0.01 | 15% | 12 Jan → | ||
| 16–12 | 0.04 | 41% | 8 Jan → | ||
| 2–13 | -0.02 | 21% | 8 Jan → | ||
| 13–8 | 0.06 | 15% | 6 Jan → | ||
| 13–10 | 0.01 | 20% | 5 Jan → | ||
| 16–12 | 0.01 | 19% | 30 Dec → | ||
| 13–7 | -0.00 | 14% | 29 Dec → | ||
| 13–9 | 0.03 | 13% | 29 Dec → | ||
| 10–5 | 0.09 | 23% | 23 Dec → | ||
| 9–13 | -0.08 | 15% | 22 Dec → | ||
| 10–13 | -0.02 | 10% | 22 Dec → | ||
| 13–0 | 0.09 | 50% | 22 Dec → | ||
| 4–13 | -0.06 | 21% | 16 Dec → | ||
| 7–13 | 0.02 | 21% | 16 Dec → | ||
| 13–8 | 0.06 | 10% | 13 Dec → | ||
| 11–13 | 0.02 | 27% | 13 Dec → | ||
| 16–14 | 0.01 | 18% | 11 Dec → | ||
| 3–13 | -0.05 | 29% | 9 Dec → | ||
| 13–7 | 0.12 | 17% | 9 Dec → | ||
| 2–13 | -0.04 | 7% | 5 Dec → | ||
| 13–10 | 0.02 | 16% | 5 Dec → | ||
| 11–13 | -0.02 | 22% | 4 Dec → | ||
| 9–13 | -0.02 | 14% | 4 Dec → | ||
| 3–13 | -0.04 | 11% | 2 Dec → | ||
| 4–13 | -0.07 | 9% | 2 Dec → | ||
| 13–6 | -0.06 | 15% | 1 Dec → | ||
| 9–13 | -0.07 | 38% | 1 Dec → | ||
| 16–12 | -0.01 | 11% | 28 Nov → | ||
| 13–7 | 0.04 | 29% | 26 Nov → | ||
| 5–13 | -0.04 | 30% | 25 Nov → | ||
| 2–13 | -0.08 | 9% | 25 Nov → | ||
| 11–13 | 0.02 | 33% | 24 Nov → | ||
| 2–13 | -0.12 | 13% | 24 Nov → | ||
| 11–13 | 0.05 | 26% | 20 Nov → | ||
| 13–2 | -0.03 | 16% | 20 Nov → | ||
| 16–14 | -0.00 | 13% | 18 Nov → | ||
| 13–4 | -0.02 | 15% | 17 Nov → | ||
| 13–16 | 0.03 | 19% | 13 Nov → | ||
| 10–13 | -0.01 | 25% | 11 Nov → | ||
| 13–2 | 0.20 | 33% | 11 Nov → | ||
| 10–13 | -0.04 | 14% | 10 Nov → | ||
| 15–15 | 0.01 | 23% | 4 Nov → | ||
| 13–3 | 0.08 | 29% | 30 Oct → | ||
| 13–7 | -0.04 | 20% | 28 Oct → | ||
| 13–9 | -0.06 | 11% | 27 Oct → | ||
| 9–13 | 0.02 | 15% | 25 Oct → | ||
| 13–2 | 0.06 | 16% | 25 Oct → | ||
| 11–13 | -0.03 | 40% | 24 Oct → | ||
| 15–15 | 0.02 | 25% | 24 Oct → | ||
| 15–15 | -0.01 | 24% | 21 Oct → | ||
| 13–10 | 0.08 | 23% | 20 Oct → | ||
| 12–16 | -0.02 | 21% | 19 Oct → | ||
| 3–13 | -0.02 | 22% | 16 Oct → | ||
| 13–16 | 0.03 | 19% | 14 Oct → | ||
| 10–13 | 0.07 | 29% | 13 Oct → | ||
| 13–5 | 0.08 | 34% | 13 Oct → | ||
| 12–16 | 0.05 | 22% | 10 Oct → | ||
| 13–11 | 0.02 | 24% | 9 Oct → | ||
| 6–13 | 0.03 | 26% | 8 Oct → | ||
| 6–13 | 0.02 | 9% | 8 Oct → | ||
| 13–9 | 0.07 | 33% | 3 Oct → | ||
| 13–8 | 0.01 | 22% | 3 Oct → | ||
| 13–6 | 0.03 | 9% | 3 Oct → | ||
| 9–13 | 0.02 | 13% | 3 Oct → | ||
| 8–13 | -0.05 | 17% | 2 Oct → | ||
| 4–13 | 0.00 | 14% | 1 Oct → | ||
| 13–3 | 0.00 | 25% | 1 Oct → | ||
| 4–13 | 0.02 | 26% | 1 Oct → | ||
| 13–11 | -0.00 | 11% | 30 Sept → | ||
| 16–12 | 0.00 | 22% | 30 Sept → | ||
| 13–6 | 0.05 | 17% | 26 Sept → | ||
| 13–11 | 0.02 | 16% | 24 Sept → | ||
| 16–14 | -0.01 | 15% | 23 Sept → | ||
| 16–14 | -0.04 | 31% | 22 Sept → | ||
| 13–5 | 0.08 | 26% | 22 Sept → | ||
| 6–13 | -0.06 | 28% | 20 Sept → | ||
| 13–11 | -0.01 | 27% | 20 Sept → | ||
| 13–11 | 0.00 | 8% | 20 Sept → | ||
| 8–13 | -0.02 | 12% | 19 Sept → | ||
| 9–13 | -0.09 | 17% | 19 Sept → | ||
| 13–5 | 0.05 | 27% | 19 Sept → | ||
| 14–16 | -0.07 | 10% | 17 Sept → | ||
| 3–13 | -0.07 | 19% | 17 Sept → | ||
| 13–6 | 0.04 | 18% | 16 Sept → | ||
| 13–3 | -0.05 | 17% | 16 Sept → | ||
| 13–9 | 0.00 | 19% | 15 Sept → |
Match data via Leetify.