teddyONE — CS2 Stats
76561198008244546[U:1:47978818]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.00 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Effective flashes
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 85% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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
Strengths
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 590ms 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 5.1/10 (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 |
|---|---|---|---|---|---|
| A | 21 | 12–9 | 57% | -0.01 | |
| C | 20 | 7–13 | 35% | -0.02 | |
| S | 19 | 14–5 | 74% | 0.02 | |
| C | 12 | 5–7 | 42% | -0.02 | |
| C | 11 | 4–7 | 36% | -0.01 | |
| A | 5 | 3–2 | 60% | -0.02 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| — | 4 | 1–3 | 25% | 0.03 | |
| — | 3 | 0–3 | 0% | -0.06 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 316 | 46% | 0.95 | 14.9 |
| Anubis | 313 | 53% | 1.00 | 15.1 |
| Inferno | 220 | 49% | 0.97 | 14.6 |
| Mirage | 154 | 42% | 0.92 | 13.9 |
| Overpass | 140 | 64% | 1.03 | 14.9 |
| Train | 108 | 54% | 1.05 | 15.9 |
| Dust2 | 69 | 46% | 0.98 | 14.3 |
| Cache | 42 | 48% | 0.80 | 12.2 |
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 32.0612% — 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.
35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.06 | 11% | 25 Aug → | ||
| 13–2 | 0.11 | 27% | 14 Aug → | ||
| 13–10 | -0.02 | 11% | 13 Aug → | ||
| 13–5 | 0.01 | 24% | 12 Aug → | ||
| 11–13 | -0.01 | 18% | 7 Aug → | ||
| 8–13 | -0.01 | 18% | 2 Aug → | ||
| 13–2 | -0.00 | 26% | 1 Aug → | ||
| 13–7 | -0.04 | 20% | 31 Jul → | ||
| 10–13 | -0.01 | 17% | 28 Jul → | ||
| 14–16 | 0.01 | 11% | 27 Jul → | ||
| 13–4 | 0.09 | 21% | 27 Jul → | ||
| 10–13 | -0.01 | 23% | 27 Jul → | ||
| 13–8 | -0.02 | 19% | 25 Jul → | ||
| 6–13 | 0.03 | 26% | 25 Jul → | ||
| 13–16 | -0.04 | 12% | 25 Jul → | ||
| 10–13 | -0.06 | 23% | 25 Jul → | ||
| 8–13 | -0.05 | 15% | 25 Jul → | ||
| 13–11 | -0.03 | 12% | 25 Jul → | ||
| 9–13 | 0.04 | 14% | 25 Jul → | ||
| 9–13 | 0.02 | 28% | 13 Jul → | ||
| 10–1 | 0.08 | 18% | 13 Jul → | ||
| 13–11 | -0.02 | 15% | 13 Jul → | ||
| 11–13 | -0.00 | 21% | 11 Jul → | ||
| 13–11 | 0.05 | 22% | 10 Jul → | ||
| 0–5 | -0.05 | 0% | 28 Jun → | ||
| 4–13 | 0.01 | 23% | 28 Jun → | ||
| 13–10 | -0.00 | 28% | 28 Jun → | ||
| 8–13 | -0.02 | 26% | 13 Jun → | ||
| 13–7 | 0.04 | 13% | 12 Jun → | ||
| 13–9 | 0.01 | 15% | 12 Jun → | ||
| 16–14 | -0.00 | 18% | 11 Jun → | ||
| 9–13 | 0.00 | 14% | 29 May → | ||
| 13–16 | -0.06 | 18% | 29 May → | ||
| 4–13 | -0.06 | 15% | 27 May → | ||
| 13–6 | 0.00 | 18% | 14 May → | ||
| 10–13 | 0.01 | 24% | 10 May → | ||
| 10–13 | -0.05 | 17% | 9 May → | ||
| 13–8 | 0.03 | 20% | 9 May → | ||
| 13–9 | -0.03 | 20% | 9 May → | ||
| 13–7 | 0.04 | 17% | 24 Apr → | ||
| 9–13 | -0.02 | 14% | 21 Apr → | ||
| 2–13 | -0.09 | 17% | 17 Apr → | ||
| 13–8 | -0.04 | 33% | 17 Apr → | ||
| 1–13 | -0.11 | 4% | 17 Apr → | ||
| 5–13 | -0.06 | 34% | 8 Apr → | ||
| 11–13 | -0.03 | 13% | 2 Apr → | ||
| 13–8 | 0.02 | 24% | 2 Apr → | ||
| 6–13 | -0.04 | 15% | 1 Apr → | ||
| 13–10 | 0.08 | 19% | 1 Apr → | ||
| 16–13 | 0.01 | 13% | 31 Mar → | ||
| 13–7 | 0.01 | 13% | 18 Mar → | ||
| 11–13 | -0.04 | 18% | 16 Mar → | ||
| 9–13 | 0.02 | 28% | 13 Mar → | ||
| 13–8 | 0.02 | 10% | 12 Mar → | ||
| 13–3 | 0.07 | 26% | 9 Mar → | ||
| 8–13 | 0.03 | 13% | 9 Mar → | ||
| 13–11 | -0.02 | 16% | 28 Feb → | ||
| 13–3 | 0.00 | 21% | 28 Feb → | ||
| 13–4 | 0.12 | 24% | 28 Feb → | ||
| 7–13 | 0.01 | 17% | 21 Feb → | ||
| 13–8 | 0.01 | 13% | 21 Feb → | ||
| 14–16 | -0.06 | 14% | 20 Feb → | ||
| 13–11 | 0.00 | 14% | 19 Feb → | ||
| 13–3 | -0.00 | 13% | 19 Feb → | ||
| 6–13 | 0.01 | 22% | 19 Feb → | ||
| 10–13 | -0.01 | 18% | 16 Feb → | ||
| 13–8 | 0.05 | 29% | 15 Feb → | ||
| 2–13 | -0.11 | 9% | 15 Feb → | ||
| 3–13 | -0.06 | 21% | 15 Feb → | ||
| 13–5 | 0.00 | 27% | 13 Feb → | ||
| 13–11 | 0.04 | 19% | 8 Feb → | ||
| 13–2 | 0.03 | 8% | 8 Feb → | ||
| 10–13 | -0.03 | 22% | 7 Feb → | ||
| 13–2 | 0.01 | 19% | 6 Feb → | ||
| 13–2 | 0.11 | 19% | 6 Feb → | ||
| 11–13 | -0.04 | 12% | 29 Jan → | ||
| 13–6 | -0.04 | 11% | 29 Jan → | ||
| 13–7 | -0.03 | 7% | 24 Jan → | ||
| 10–13 | -0.02 | 17% | 24 Jan → | ||
| 13–9 | 0.00 | 18% | 24 Jan → | ||
| 13–11 | 0.00 | 16% | 18 Jan → | ||
| 7–13 | -0.03 | 11% | 17 Jan → | ||
| 17–19 | 0.02 | 14% | 7 Jan → | ||
| 5–13 | 0.03 | 21% | 6 Jan → | ||
| 13–11 | -0.04 | 16% | 4 Jan → | ||
| 7–13 | 0.01 | 19% | 2 Jan → | ||
| 15–19 | -0.05 | 8% | 2 Jan → | ||
| 13–6 | -0.02 | 20% | 30 Dec → | ||
| 10–13 | -0.01 | 25% | 22 Dec → | ||
| 3–13 | -0.04 | 36% | 22 Dec → | ||
| 13–7 | -0.05 | 13% | 16 Dec → | ||
| 7–13 | 0.02 | 23% | 16 Dec → | ||
| 13–10 | 0.00 | 14% | 16 Dec → | ||
| 14–16 | 0.03 | 14% | 9 Dec → | ||
| 10–13 | -0.02 | 35% | 9 Dec → | ||
| 13–7 | 0.02 | 20% | 9 Dec → | ||
| 11–13 | -0.01 | 20% | 27 Nov → | ||
| 13–6 | 0.02 | 23% | 27 Nov → | ||
| 2–13 | -0.11 | 22% | 27 Nov → | ||
| 10–13 | -0.08 | 19% | 21 Nov → |
Match data via Leetify.
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