Water Addict — CS2 Stats
US76561198809356975[U:1:849091247]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 90% playstyle similarity
Most alike: opening-fight frequency, 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. 611ms 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 5.5/10 (Solid), 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 |
|---|---|---|---|---|---|
| office | B | 42 | 19–23 | 45% | 0.01 |
| A | 14 | 9–5 | 64% | 0.00 | |
| A | 9 | 5–4 | 56% | 0.01 | |
| D | 7 | 2–5 | 29% | 0.00 | |
| B | 6 | 3–3 | 50% | -0.06 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| — | 4 | 3–1 | 75% | -0.03 | |
| — | 3 | 2–1 | 67% | -0.02 | |
| — | 3 | 1–2 | 33% | -0.03 | |
| — | 3 | 2–1 | 67% | -0.01 | |
| warden | — | 1 | 0–1 | 0% | -0.05 |
| — | 1 | 0–1 | 0% | -0.06 | |
| italy | — | 1 | 0–1 | 0% | -0.07 |
| agency | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Mirage 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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | 0.03 | 46% | 15 Aug → | ||
| 7–2 | -0.05 | 6% | 14 Aug → | ||
| 13–8 | 0.10 | 15% | 14 Aug → | ||
| 13–8 | 0.02 | 12% | 4 Jul → | ||
| 4–13 | -0.04 | 30% | 27 Jun → | ||
| 13–4 | -0.01 | 4% | 26 Jun → | ||
| warden | 7–13 | -0.05 | 14% | 26 Jun → | |
| 13–11 | -0.01 | 14% | 29 May → | ||
| 10–13 | -0.07 | 13% | 29 May → | ||
| 5–13 | -0.06 | 47% | 29 May → | ||
| 13–4 | -0.02 | 33% | 27 May → | ||
| 3–13 | -0.07 | 62% | 17 May → | ||
| 0–13 | -0.02 | 100% | 2 May → | ||
| 13–10 | -0.04 | 15% | 27 Apr → | ||
| 13–8 | 0.07 | 21% | 27 Apr → | ||
| italy | 7–13 | -0.07 | 11% | 26 Apr → | |
| 6–13 | -0.02 | 23% | 24 Apr → | ||
| 12–12 | -0.03 | 18% | 24 Apr → | ||
| office | 13–6 | 0.09 | 14% | 23 Apr → | |
| office | 3–13 | -0.08 | 17% | 23 Apr → | |
| 12–12 | 0.07 | 30% | 23 Apr → | ||
| office | 8–13 | -0.01 | 19% | 21 Apr → | |
| office | 5–13 | -0.01 | 29% | 20 Apr → | |
| 13–10 | 0.02 | 35% | 19 Apr → | ||
| 2–13 | 0.03 | 63% | 19 Apr → | ||
| office | 4–13 | -0.06 | 42% | 19 Apr → | |
| office | 11–13 | -0.07 | 32% | 26 Mar → | |
| 13–7 | -0.06 | 19% | 8 Sept → | ||
| 13–6 | 0.03 | 16% | 8 Sept → | ||
| 13–6 | -0.02 | 35% | 8 Sept → | ||
| 9–13 | -0.05 | 10% | 7 Sept → | ||
| 13–5 | -0.03 | 29% | 7 Sept → | ||
| 13–8 | 0.05 | 22% | 4 Sept → | ||
| agency | 9–13 | -0.04 | 38% | 26 May → | |
| 9–13 | 0.02 | 27% | 3 Apr → | ||
| office | 13–9 | 0.06 | 23% | 15 Feb → | |
| 13–9 | 0.09 | 30% | 2 Feb → | ||
| 13–9 | 0.06 | 14% | 2 Feb → | ||
| 5–13 | 0.02 | 27% | 24 Jan → | ||
| 13–2 | 0.06 | 20% | 24 Jan → | ||
| office | 13–10 | 0.09 | 22% | 24 Jan → | |
| 13–4 | 0.04 | 16% | 24 Jan → | ||
| 6–13 | 0.06 | 35% | 24 Jan → | ||
| office | 5–13 | 0.05 | 17% | 22 Jan → | |
| office | 13–8 | 0.06 | 28% | 22 Jan → | |
| office | 4–13 | 0.01 | 19% | 22 Jan → | |
| office | 13–2 | 0.01 | 37% | 22 Jan → | |
| 13–9 | 0.01 | 29% | 22 Jan → | ||
| office | 13–8 | 0.03 | 27% | 22 Jan → | |
| 11–13 | -0.04 | 41% | 17 Jan → | ||
| office | 13–4 | 0.01 | 42% | 4 Jan → | |
| office | 3–13 | -0.04 | 38% | 4 Jan → | |
| 13–11 | 0.04 | 16% | 11 Dec → | ||
| office | 10–13 | -0.06 | 20% | 11 Dec → | |
| office | 13–9 | 0.01 | 25% | 4 Dec → | |
| office | 13–10 | 0.02 | 44% | 4 Dec → | |
| office | 12–12 | 0.02 | 21% | 30 Nov → | |
| 7–13 | -0.07 | 21% | 6 Nov → | ||
| 4–13 | -0.09 | 30% | 6 Nov → | ||
| office | 13–5 | 0.02 | 48% | 2 Nov → | |
| office | 12–12 | 0.04 | 39% | 1 Nov → | |
| office | 9–13 | 0.05 | 57% | 31 Oct → | |
| 8–13 | -0.07 | 34% | 30 Oct → | ||
| 13–4 | -0.01 | 27% | 4 Sept → | ||
| 13–4 | -0.07 | 16% | 4 Sept → | ||
| 13–9 | -0.02 | 14% | 4 Sept → | ||
| 13–7 | 0.03 | 21% | 4 Sept → | ||
| 6–13 | -0.09 | 0% | 5 Mar → | ||
| office | 10–13 | -0.01 | 17% | 22 Feb → | |
| office | 13–5 | 0.09 | 23% | 25 Jan → | |
| office | 12–12 | -0.03 | 24% | 25 Jan → | |
| office | 2–1 | -0.13 | 0% | 16 Jan → | |
| 5–13 | -0.00 | 29% | 16 Jan → | ||
| 4–13 | -0.05 | 13% | 16 Jan → | ||
| office | 6–13 | 0.01 | 22% | 15 Jan → | |
| office | 3–13 | -0.04 | 37% | 15 Jan → | |
| office | 13–10 | 0.00 | 17% | 15 Jan → | |
| office | 13–1 | 0.09 | 18% | 14 Jan → | |
| office | 0–3 | 0.01 | 9% | 14 Jan → | |
| 5–9 | -0.07 | 13% | 14 Jan → | ||
| office | 9–13 | -0.03 | 15% | 12 Jan → | |
| office | 11–13 | 0.00 | 24% | 12 Jan → | |
| office | 13–6 | 0.03 | 15% | 10 Jan → | |
| office | 13–9 | 0.01 | 15% | 31 Dec → | |
| 3–13 | -0.12 | 17% | 31 Dec → | ||
| office | 13–11 | 0.04 | 19% | 26 Dec → | |
| 13–9 | 0.06 | 19% | 28 Sept → | ||
| office | 9–4 | -0.01 | 17% | 10 Aug → | |
| 9–0 | -0.04 | 19% | 10 Aug → | ||
| 13–16 | -0.03 | 21% | 26 May → | ||
| 9–6 | -0.03 | 20% | 26 May → | ||
| 9–7 | 0.03 | 4% | 23 Aug → | ||
| office | 13–16 | 0.00 | 4% | 4 Mar → | |
| office | 15–15 | 0.00 | 21% | 3 Mar → | |
| 16–2 | 0.00 | 14% | 2 Mar → | ||
| office | 12–16 | 0.00 | 14% | 24 Feb → | |
| office | 9–16 | 0.00 | 20% | 21 Feb → | |
| office | 16–1 | 0.00 | 13% | 14 Feb → | |
| 9–16 | 0.00 | 20% | 11 Feb → | ||
| 13–16 | 0.00 | 18% | 30 Jan → |
Match data via Leetify.