thedatapata — CS2 Stats
76561198006044460[U:1:45778732]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerEffective 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 jL 92% 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
Strengths
Flashes. 0.78 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 57% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 586ms 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 5.8/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 28 | 14–14 | 50% | 0.04 | |
| C | 12 | 5–7 | 42% | 0.03 | |
| C | 12 | 5–7 | 42% | 0.04 | |
| S | 11 | 9–2 | 82% | 0.00 | |
| C | 10 | 4–6 | 40% | 0.02 | |
| S | 8 | 6–2 | 75% | 0.02 | |
| A | 8 | 5–3 | 63% | 0.02 | |
| C | 7 | 3–4 | 43% | 0.02 | |
| — | 3 | 2–1 | 67% | 0.01 | |
| cache_b | — | 1 | 0–1 | 0% | 0.06 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Overpass 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 resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 26 | 58% | 0.98 | 14.7 |
| Inferno | 25 | 60% | 1.54 | 17.0 |
| Anubis | 19 | 53% | 1.03 | 14.6 |
| Nuke | 16 | 62% | 1.03 | 15.6 |
| Vertigo | 11 | 55% | 2.16 | 15.2 |
| Ancient | 10 | 50% | 0.95 | 14.9 |
| Overpass | 9 | 33% | 0.86 | 15.1 |
| Mirage | 5 | 60% | 1.22 | 15.6 |
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 39.1714% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | 0.06 | 11% | 28 Aug → | ||
| 13–11 | -0.01 | 18% | 27 Aug → | ||
| 13–10 | 0.02 | 26% | 26 Aug → | ||
| 13–10 | 0.00 | 9% | 26 Aug → | ||
| 13–3 | 0.08 | 20% | 22 Aug → | ||
| 6–13 | -0.02 | 21% | 21 Aug → | ||
| 8–13 | 0.03 | 26% | 21 Aug → | ||
| 13–11 | -0.03 | 10% | 20 Aug → | ||
| 3–13 | -0.06 | 14% | 20 Aug → | ||
| 8–13 | -0.03 | 20% | 11 Aug → | ||
| 13–9 | 0.08 | 15% | 7 Aug → | ||
| 13–3 | 0.06 | 14% | 7 Aug → | ||
| 16–13 | 0.06 | 13% | 7 Aug → | ||
| 9–13 | 0.00 | 17% | 6 Aug → | ||
| 13–11 | 0.03 | 19% | 6 Aug → | ||
| 11–13 | 0.05 | 17% | 5 Aug → | ||
| 13–11 | 0.05 | 7% | 5 Aug → | ||
| 2–13 | 0.06 | 18% | 4 Aug → | ||
| 13–4 | 0.02 | 14% | 3 Aug → | ||
| 6–13 | 0.07 | 24% | 2 Jul → | ||
| 13–11 | 0.16 | 26% | 2 Jul → | ||
| 13–7 | 0.17 | 18% | 1 Jul → | ||
| 13–9 | 0.01 | 14% | 1 Jul → | ||
| 15–15 | 0.00 | 11% | 29 Jun → | ||
| 13–5 | -0.04 | 19% | 28 Jun → | ||
| 13–6 | -0.00 | 7% | 28 Jun → | ||
| 1–13 | -0.03 | 19% | 28 Jun → | ||
| 14–16 | -0.02 | 18% | 23 Jun → | ||
| 4–13 | 0.04 | 23% | 23 Jun → | ||
| 13–16 | -0.02 | 16% | 20 Jun → | ||
| 7–13 | -0.02 | 13% | 20 Jun → | ||
| 11–13 | 0.03 | 17% | 18 Jun → | ||
| 13–9 | 0.07 | 17% | 18 Jun → | ||
| 11–13 | 0.01 | 14% | 18 Jun → | ||
| 13–10 | 0.04 | 17% | 17 Jun → | ||
| 13–16 | -0.00 | 14% | 17 Jun → | ||
| 10–13 | 0.07 | 24% | 16 Jun → | ||
| 5–13 | 0.06 | 19% | 12 Jun → | ||
| 10–13 | -0.01 | 16% | 12 Jun → | ||
| 13–11 | 0.05 | 21% | 12 Jun → | ||
| 13–9 | 0.02 | 9% | 11 Jun → | ||
| 13–8 | 0.05 | 24% | 10 Jun → | ||
| 10–13 | -0.00 | 22% | 9 Jun → | ||
| 19–15 | -0.01 | 12% | 8 Jun → | ||
| 13–8 | 0.04 | 14% | 7 Jun → | ||
| 14–16 | 0.08 | 29% | 5 Jun → | ||
| 22–20 | 0.05 | 23% | 5 Jun → | ||
| 13–8 | 0.01 | 14% | 5 Jun → | ||
| 13–5 | 0.07 | 23% | 4 Jun → | ||
| 13–8 | 0.03 | 31% | 4 Jun → | ||
| 7–13 | -0.02 | 7% | 3 Jun → | ||
| 4–13 | -0.01 | 31% | 3 Jun → | ||
| 13–10 | 0.00 | 0% | 30 May → | ||
| 13–8 | -0.01 | 19% | 29 May → | ||
| 16–14 | 0.02 | 16% | 29 May → | ||
| 13–8 | 0.01 | 18% | 28 May → | ||
| 13–7 | 0.02 | 22% | 28 May → | ||
| 10–13 | -0.04 | 15% | 24 May → | ||
| 11–13 | 0.01 | 9% | 23 May → | ||
| 16–14 | 0.04 | 14% | 23 May → | ||
| 13–10 | 0.08 | 15% | 22 May → | ||
| 4–13 | -0.02 | 15% | 18 May → | ||
| 8–13 | -0.08 | 14% | 18 May → | ||
| 7–13 | -0.01 | 10% | 15 May → | ||
| 13–11 | -0.01 | 10% | 15 May → | ||
| 9–13 | 0.03 | 22% | 15 May → | ||
| 13–8 | -0.05 | 20% | 15 May → | ||
| 13–6 | 0.02 | 20% | 14 May → | ||
| 5–13 | 0.02 | 8% | 14 May → | ||
| 8–13 | -0.07 | 22% | 13 May → | ||
| 13–10 | 0.02 | 16% | 13 May → | ||
| 13–3 | 0.18 | 15% | 11 May → | ||
| 16–13 | 0.01 | 13% | 9 May → | ||
| 9–13 | 0.02 | 21% | 9 May → | ||
| 11–13 | 0.02 | 11% | 8 May → | ||
| 13–9 | 0.03 | 12% | 8 May → | ||
| 13–7 | 0.08 | 25% | 7 May → | ||
| 4–13 | 0.07 | 29% | 7 May → | ||
| 13–7 | 0.07 | 18% | 5 May → | ||
| 13–8 | 0.02 | 11% | 5 May → | ||
| 11–13 | 0.05 | 18% | 2 May → | ||
| 11–13 | 0.04 | 21% | 2 May → | ||
| 11–13 | 0.10 | 24% | 1 May → | ||
| 19–16 | 0.06 | 12% | 1 May → | ||
| 13–4 | 0.05 | 23% | 30 Apr → | ||
| 13–10 | 0.02 | 14% | 30 Apr → | ||
| 10–13 | -0.01 | 12% | 29 Apr → | ||
| 13–11 | -0.07 | 18% | 29 Apr → | ||
| cache_b | 8–13 | 0.06 | 12% | 25 Apr → | |
| 2–13 | -0.06 | 12% | 25 Apr → | ||
| 13–10 | 0.04 | 9% | 24 Apr → | ||
| 13–16 | 0.03 | 10% | 24 Apr → | ||
| 13–4 | 0.05 | 10% | 24 Apr → | ||
| 4–13 | 0.01 | 17% | 21 Apr → | ||
| 16–14 | 0.01 | 17% | 17 Apr → | ||
| 11–13 | 0.03 | 12% | 11 Apr → | ||
| 7–13 | -0.01 | 16% | 11 Apr → | ||
| 13–7 | 0.08 | 10% | 11 Apr → | ||
| 13–7 | 0.22 | 11% | 11 Apr → | ||
| 9–13 | 0.06 | 10% | 5 Apr → |
Match data via Leetify.