Tage.- — CS2 Stats
76561198281747759[U:1:321482031]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.00 avg rating
Player DNA
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 82% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower positioning profile; 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
T-side openings. Opening success drops from 47% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 695ms 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 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 27 | 12–15 | 44% | -0.01 | |
| C | 19 | 8–11 | 42% | -0.03 | |
| B | 12 | 6–6 | 50% | -0.01 | |
| A | 11 | 6–5 | 55% | -0.00 | |
| A | 7 | 4–3 | 57% | -0.00 | |
| office | C | 7 | 3–4 | 43% | -0.03 |
| D | 6 | 1–5 | 17% | -0.01 | |
| A | 5 | 3–2 | 60% | -0.03 | |
| A | 5 | 3–2 | 60% | 0.00 | |
| — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 43 | 42% | 0.79 | 10.9 |
| Dust2 | 36 | 50% | 0.77 | 11.1 |
| Inferno | 25 | 48% | 0.86 | 14.1 |
| Anubis | 13 | 46% | 1.05 | 14.8 |
| Nuke | 12 | 33% | 0.79 | 11.8 |
| Ancient | 7 | 57% | 0.92 | 11.1 |
| Vertigo | 7 | 43% | 0.84 | 10.9 |
| Overpass | 3 | 33% | 0.72 | 12.3 |
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 24.1811% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.01 | 21% | 2 Aug → | ||
| 13–1 | 0.03 | 16% | 9 Jul → | ||
| 13–6 | 0.06 | 23% | 9 Jul → | ||
| 13–5 | -0.05 | 22% | 26 Jun → | ||
| 9–3 | -0.04 | 20% | 26 Jun → | ||
| 4–13 | -0.09 | 9% | 23 Jun → | ||
| 5–13 | 0.02 | 6% | 22 Jun → | ||
| 13–5 | -0.00 | 13% | 22 Jun → | ||
| 13–9 | 0.03 | 15% | 22 Jun → | ||
| 10–13 | 0.00 | 29% | 18 Jun → | ||
| 5–13 | -0.07 | 26% | 14 Jun → | ||
| 6–1 | -0.04 | 63% | 13 Jun → | ||
| 13–11 | 0.02 | 23% | 13 Jun → | ||
| 13–9 | -0.01 | 14% | 13 Jun → | ||
| 12–12 | 0.00 | 13% | 13 Jun → | ||
| 10–13 | -0.07 | 17% | 8 Jun → | ||
| 13–3 | 0.07 | 23% | 8 Jun → | ||
| 8–13 | -0.04 | 17% | 7 Jun → | ||
| 11–1 | 0.08 | 26% | 6 Jun → | ||
| 0–13 | 0.00 | 42% | 6 Jun → | ||
| 2–6 | 0.00 | 31% | 6 Jun → | ||
| 13–1 | 0.01 | 19% | 3 Jun → | ||
| 9–13 | -0.02 | 19% | 1 Jun → | ||
| 11–13 | 0.07 | 18% | 1 Jun → | ||
| 12–12 | -0.01 | 13% | 29 May → | ||
| 9–13 | -0.04 | 11% | 29 May → | ||
| 10–13 | 0.02 | 15% | 27 May → | ||
| 12–12 | -0.07 | 16% | 26 May → | ||
| 11–13 | -0.05 | 8% | 26 May → | ||
| 8–13 | -0.06 | 23% | 24 May → | ||
| 2–13 | -0.02 | 13% | 23 May → | ||
| 1–13 | -0.11 | 12% | 21 May → | ||
| 13–9 | -0.01 | 18% | 18 May → | ||
| 9–13 | -0.12 | 14% | 18 May → | ||
| 13–10 | -0.02 | 25% | 18 May → | ||
| office | 3–13 | -0.05 | 23% | 16 May → | |
| 13–5 | 0.04 | 11% | 14 May → | ||
| 11–13 | -0.03 | 18% | 14 May → | ||
| 13–9 | -0.01 | 21% | 14 May → | ||
| office | 2–0 | 0.00 | 0% | 14 May → | |
| 11–13 | -0.04 | 13% | 14 May → | ||
| 13–16 | -0.02 | 18% | 14 May → | ||
| 13–9 | 0.02 | 7% | 13 May → | ||
| 13–5 | 0.03 | 16% | 13 May → | ||
| office | 13–11 | -0.06 | 14% | 9 May → | |
| office | 7–13 | 0.00 | 19% | 9 May → | |
| 9–13 | -0.07 | 20% | 9 May → | ||
| 16–14 | -0.02 | 17% | 7 May → | ||
| 4–13 | 0.04 | 22% | 7 May → | ||
| 13–3 | 0.02 | 16% | 4 May → | ||
| 13–6 | -0.00 | 9% | 4 May → | ||
| 13–9 | 0.09 | 22% | 4 May → | ||
| 13–11 | 0.01 | 16% | 1 May → | ||
| 3–13 | 0.04 | 12% | 30 Apr → | ||
| 7–13 | -0.02 | 18% | 29 Apr → | ||
| 8–13 | -0.05 | 14% | 29 Apr → | ||
| 13–11 | -0.01 | 27% | 29 Apr → | ||
| 16–13 | -0.08 | 13% | 28 Apr → | ||
| 11–13 | -0.01 | 13% | 28 Apr → | ||
| 3–13 | -0.09 | 11% | 28 Apr → | ||
| 6–13 | -0.03 | 11% | 27 Apr → | ||
| 13–2 | 0.05 | 15% | 27 Apr → | ||
| 3–13 | -0.03 | 14% | 25 Apr → | ||
| 13–0 | 0.05 | 26% | 25 Apr → | ||
| 5–0 | 0.10 | 33% | 25 Apr → | ||
| 10–13 | -0.01 | 14% | 24 Apr → | ||
| 13–9 | 0.02 | 13% | 23 Apr → | ||
| 13–2 | 0.05 | 15% | 23 Apr → | ||
| 13–10 | 0.02 | 14% | 17 Apr → | ||
| 11–13 | -0.03 | 18% | 16 Apr → | ||
| 15–15 | -0.04 | 7% | 16 Apr → | ||
| 13–2 | 0.03 | 20% | 13 Apr → | ||
| 13–6 | 0.01 | 18% | 10 Apr → | ||
| 5–13 | -0.07 | 15% | 10 Apr → | ||
| 4–13 | -0.02 | 16% | 9 Apr → | ||
| 3–13 | -0.03 | 16% | 9 Apr → | ||
| 11–13 | 0.05 | 12% | 8 Apr → | ||
| 13–7 | -0.02 | 18% | 8 Apr → | ||
| 13–5 | -0.00 | 16% | 8 Apr → | ||
| 13–8 | 0.04 | 11% | 8 Apr → | ||
| 4–13 | -0.10 | 22% | 5 Apr → | ||
| 13–5 | 0.05 | 22% | 5 Apr → | ||
| 5–13 | -0.04 | 20% | 5 Apr → | ||
| 13–5 | -0.06 | 19% | 3 Apr → | ||
| 13–4 | 0.06 | 9% | 3 Apr → | ||
| 5–13 | -0.05 | 5% | 3 Apr → | ||
| 9–13 | 0.02 | 9% | 2 Apr → | ||
| 5–13 | 0.00 | 18% | 1 Apr → | ||
| office | 7–13 | -0.01 | 19% | 1 Apr → | |
| 13–8 | 0.00 | 15% | 1 Apr → | ||
| 10–13 | 0.01 | 17% | 1 Apr → | ||
| 15–15 | -0.07 | 6% | 29 Mar → | ||
| 12–16 | -0.10 | 6% | 29 Mar → | ||
| 13–3 | 0.02 | 4% | 29 Mar → | ||
| office | 13–6 | -0.02 | 25% | 29 Mar → | |
| office | 12–12 | -0.08 | 12% | 29 Mar → | |
| 5–9 | -0.03 | 26% | 27 Mar → | ||
| 5–9 | -0.07 | 12% | 27 Mar → | ||
| 8–13 | -0.03 | 13% | 26 Mar → | ||
| 13–11 | -0.01 | 9% | 26 Mar → |
Match data via Leetify.