TonyFishlets — CS2 Stats
76561198160511363[U:1:200245635]
Rating over time
Faceit ELO
- At peak — 2,664
- Next: 3,000 ELO at 3,000 — 336 to go
- Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
- 2,500 ELO first seen 2026-08-28
- Level 10 first seen 2026-08-28
Premier CS Rating
- At peak — 25,852
- Next: Gold band at 30,000 — 4,148 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
Share this profile
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 Twistzz 89% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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. 614ms 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 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 30 | 16–14 | 53% | -0.00 | |
| A | 26 | 15–11 | 58% | 0.00 | |
| B | 15 | 7–8 | 47% | 0.01 | |
| C | 10 | 4–6 | 40% | 0.04 | |
| A | 7 | 4–3 | 57% | 0.01 | |
| D | 6 | 2–4 | 33% | -0.01 | |
| — | 4 | 2–2 | 50% | 0.04 | |
| — | 2 | 1–1 | 50% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 6). 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 |
|---|---|---|---|---|
| Mirage | 949 | 50% | 1.03 | 15.2 |
| Ancient | 576 | 57% | 1.09 | 15.0 |
| Anubis | 358 | 56% | 1.04 | 15.3 |
| Dust2 | 201 | 46% | 0.97 | 15.6 |
| Inferno | 149 | 48% | 1.05 | 15.1 |
| Overpass | 105 | 51% | 1.13 | 15.8 |
| Vertigo | 53 | 55% | 1.12 | 17.7 |
| Train | 51 | 45% | 1.05 | 14.8 |
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 34.2056% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.09 | 12% | 9 Aug → | ||
| 8–13 | -0.04 | 7% | 8 Aug → | ||
| 10–13 | 0.02 | 15% | 8 Aug → | ||
| 13–7 | -0.02 | 15% | 8 Aug → | ||
| 13–8 | -0.02 | 16% | 6 Aug → | ||
| 9–13 | -0.04 | 14% | 6 Aug → | ||
| 13–6 | 0.00 | 9% | 5 Aug → | ||
| 9–13 | 0.00 | 14% | 5 Aug → | ||
| 7–13 | 0.05 | 22% | 2 Aug → | ||
| 0–13 | -0.05 | 29% | 1 Aug → | ||
| 13–6 | 0.03 | 19% | 1 Aug → | ||
| 13–3 | 0.00 | 16% | 1 Aug → | ||
| 10–13 | -0.01 | 12% | 29 Jul → | ||
| 3–13 | -0.06 | 14% | 29 Jul → | ||
| 7–13 | -0.01 | 21% | 29 Jul → | ||
| 15–15 | 0.05 | 12% | 29 Jul → | ||
| 13–5 | 0.10 | 16% | 29 Jul → | ||
| 3–13 | -0.02 | 14% | 28 Jul → | ||
| 13–9 | -0.01 | 24% | 28 Jul → | ||
| 15–15 | -0.02 | 19% | 28 Jul → | ||
| 10–13 | -0.05 | 22% | 28 Jul → | ||
| 13–6 | 0.02 | 16% | 27 Jul → | ||
| 13–5 | 0.11 | 23% | 27 Jul → | ||
| 13–3 | 0.12 | 24% | 27 Jul → | ||
| 13–1 | 0.04 | 35% | 26 Jul → | ||
| 5–13 | 0.03 | 19% | 26 Jul → | ||
| 10–13 | 0.06 | 23% | 26 Jul → | ||
| 13–3 | -0.02 | 25% | 25 Jul → | ||
| 13–6 | 0.11 | 21% | 24 Jul → | ||
| 9–13 | 0.06 | 19% | 24 Jul → | ||
| 13–4 | 0.01 | 17% | 23 Jul → | ||
| 13–7 | 0.02 | 15% | 23 Jul → | ||
| 13–9 | -0.06 | 18% | 14 Jul → | ||
| 4–13 | 0.03 | 24% | 14 Jul → | ||
| 8–13 | 0.05 | 31% | 12 Jul → | ||
| 16–14 | 0.05 | 13% | 12 Jul → | ||
| 13–8 | 0.05 | 15% | 12 Jul → | ||
| 10–13 | 0.08 | 19% | 9 Jul → | ||
| 13–10 | 0.04 | 34% | 9 Jul → | ||
| 13–11 | 0.05 | 21% | 9 Jul → | ||
| 13–7 | 0.15 | 24% | 9 Jul → | ||
| 5–13 | 0.03 | 13% | 9 Jul → | ||
| 14–16 | -0.00 | 18% | 24 Jun → | ||
| 13–10 | -0.03 | 13% | 24 Jun → | ||
| 11–13 | -0.01 | 11% | 10 Jun → | ||
| 9–13 | -0.03 | 29% | 8 Jun → | ||
| 7–13 | 0.03 | 31% | 1 Jun → | ||
| 9–13 | 0.02 | 14% | 30 May → | ||
| 6–13 | -0.01 | 27% | 28 May → | ||
| 13–2 | -0.03 | 20% | 27 May → | ||
| 13–7 | 0.05 | 26% | 25 May → | ||
| 13–6 | -0.01 | 16% | 24 May → | ||
| 25–22 | -0.03 | 15% | 22 May → | ||
| 13–10 | -0.01 | 13% | 21 May → | ||
| 17–19 | -0.03 | 17% | 16 May → | ||
| 14–16 | -0.01 | 38% | 15 May → | ||
| 13–11 | -0.06 | 19% | 13 May → | ||
| 14–16 | -0.02 | 10% | 9 May → | ||
| 5–13 | -0.05 | 20% | 9 May → | ||
| 13–10 | 0.00 | 17% | 29 Apr → | ||
| 13–5 | 0.03 | 31% | 23 Apr → | ||
| 16–13 | 0.05 | 14% | 22 Apr → | ||
| 15–19 | -0.00 | 23% | 21 Apr → | ||
| 13–4 | 0.07 | 35% | 21 Apr → | ||
| 11–13 | 0.03 | 12% | 20 Apr → | ||
| 3–13 | -0.08 | 23% | 18 Apr → | ||
| 13–6 | 0.03 | 30% | 18 Apr → | ||
| 13–10 | 0.03 | 30% | 10 Apr → | ||
| 13–16 | -0.04 | 27% | 7 Apr → | ||
| 13–6 | -0.04 | 20% | 7 Apr → | ||
| 7–13 | -0.01 | 25% | 30 Mar → | ||
| 19–15 | 0.02 | 19% | 28 Mar → | ||
| 13–9 | -0.04 | 17% | 27 Mar → | ||
| 4–13 | -0.03 | 10% | 25 Mar → | ||
| 5–13 | -0.03 | 22% | 21 Mar → | ||
| 13–8 | 0.09 | 15% | 18 Mar → | ||
| 10–13 | 0.02 | 20% | 18 Mar → | ||
| 10–13 | 0.04 | 16% | 18 Mar → | ||
| 13–11 | -0.01 | 23% | 17 Mar → | ||
| 4–13 | -0.08 | 7% | 16 Mar → | ||
| 5–13 | 0.00 | 25% | 11 Mar → | ||
| 13–11 | 0.05 | 28% | 9 Mar → | ||
| 13–6 | 0.01 | 24% | 8 Mar → | ||
| 2–13 | -0.10 | 25% | 7 Mar → | ||
| 9–13 | -0.01 | 16% | 2 Mar → | ||
| 4–13 | -0.07 | 8% | 1 Mar → | ||
| 17–19 | -0.01 | 12% | 27 Feb → | ||
| 13–11 | 0.06 | 20% | 26 Feb → | ||
| 13–6 | 0.02 | 10% | 20 Feb → | ||
| 22–20 | -0.06 | 23% | 19 Feb → | ||
| 13–8 | 0.06 | 21% | 19 Feb → | ||
| 13–9 | -0.00 | 14% | 18 Feb → | ||
| 13–4 | 0.05 | 25% | 11 Feb → | ||
| 10–13 | 0.00 | 22% | 10 Feb → | ||
| 13–7 | -0.00 | 16% | 10 Feb → | ||
| 13–10 | -0.05 | 7% | 10 Feb → | ||
| 13–10 | 0.01 | 25% | 4 Feb → | ||
| 6–13 | -0.00 | 21% | 2 Feb → | ||
| 3–13 | -0.04 | 19% | 31 Jan → | ||
| 13–6 | 0.03 | 38% | 29 Jan → |
Match data via Leetify.
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