⑲ ✓ ☆ Padua — CS2 Stats
76561198199154493[U:1:238888765]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 44.7% | 52.0% |
| Shot accuracy | 15.0% | 13.7% |
| Kill/death ratio | 1.07 | 1.08 |
| Match win rate | 51.9% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.09 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Strong CT-side opener
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 s1mple 92% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 66% on CT to 47% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 555ms 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 7.4/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 46 | 22–24 | 48% | 0.04 | |
| D | 9 | 2–7 | 22% | 0.00 | |
| S | 9 | 8–1 | 89% | 0.04 | |
| A | 9 | 5–4 | 56% | 0.06 | |
| D | 9 | 2–7 | 22% | 0.03 | |
| D | 6 | 1–5 | 17% | 0.03 | |
| A | 5 | 3–2 | 60% | 0.06 | |
| — | 4 | 3–1 | 75% | -0.01 | |
| — | 3 | 1–2 | 33% | 0.09 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis 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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 89 | 52% | 1.23 | 17.8 |
| Anubis | 54 | 54% | 1.20 | 18.4 |
| Ancient | 43 | 53% | 1.29 | 18.0 |
| Dust2 | 32 | 44% | 1.01 | 14.3 |
| Nuke | 26 | 58% | 1.22 | 20.0 |
| Inferno | 22 | 41% | 1.12 | 16.6 |
| Vertigo | 17 | 59% | 1.08 | 16.8 |
| Train | 5 | 20% | 1.22 | 18.6 |
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
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 | |
|---|---|---|---|---|---|
| 9–13 | 0.08 | 20% | 30 Jul → | ||
| 5–13 | -0.01 | 11% | 4 Jul → | ||
| 16–13 | 0.03 | 26% | 3 Jul → | ||
| 13–3 | 0.08 | 10% | 3 Jul → | ||
| 13–8 | 0.13 | 15% | 28 Jun → | ||
| 13–10 | 0.09 | 15% | 28 Jun → | ||
| 13–6 | 0.04 | 10% | 21 Jun → | ||
| 13–10 | 0.05 | 17% | 21 Jun → | ||
| 22–18 | 0.17 | 23% | 21 Jun → | ||
| 13–8 | 0.20 | 29% | 21 Jun → | ||
| 8–13 | 0.00 | 19% | 14 Jun → | ||
| 13–9 | 0.00 | 25% | 30 May → | ||
| 10–13 | -0.00 | 29% | 11 May → | ||
| 13–11 | -0.02 | 7% | 10 May → | ||
| 13–9 | 0.02 | 7% | 10 May → | ||
| 13–11 | 0.05 | 17% | 9 May → | ||
| 9–13 | -0.04 | 8% | 8 May → | ||
| 13–7 | 0.03 | 9% | 8 May → | ||
| 4–13 | -0.06 | 18% | 8 May → | ||
| 9–13 | -0.00 | 25% | 8 May → | ||
| 10–13 | 0.02 | 13% | 5 May → | ||
| 9–13 | -0.03 | 23% | 4 May → | ||
| 13–10 | -0.05 | 12% | 2 May → | ||
| 7–13 | 0.00 | 20% | 1 May → | ||
| 5–13 | -0.09 | 10% | 1 May → | ||
| 13–6 | 0.12 | 21% | 1 May → | ||
| 9–13 | -0.02 | 16% | 1 May → | ||
| 11–13 | 0.03 | 25% | 1 May → | ||
| 13–11 | -0.01 | 12% | 1 May → | ||
| 13–3 | 0.09 | 27% | 1 May → | ||
| 13–10 | 0.03 | 17% | 1 May → | ||
| 16–14 | 0.03 | 17% | 1 May → | ||
| 8–13 | -0.01 | 18% | 26 Apr → | ||
| 13–9 | 0.07 | 11% | 26 Apr → | ||
| 8–13 | 0.00 | 12% | 26 Apr → | ||
| 10–13 | 0.03 | 11% | 26 Apr → | ||
| 19–22 | 0.03 | 19% | 26 Apr → | ||
| 13–9 | -0.05 | 24% | 26 Apr → | ||
| 16–14 | 0.03 | 14% | 25 Apr → | ||
| 13–9 | 0.07 | 17% | 25 Apr → | ||
| 13–5 | 0.17 | 20% | 25 Apr → | ||
| 16–12 | 0.10 | 12% | 25 Apr → | ||
| 10–13 | -0.01 | 7% | 25 Apr → | ||
| 13–7 | 0.06 | 10% | 24 Apr → | ||
| 11–13 | 0.05 | 23% | 24 Apr → | ||
| 10–13 | -0.00 | 17% | 24 Apr → | ||
| 9–13 | 0.09 | 17% | 24 Apr → | ||
| 11–13 | -0.02 | 13% | 23 Apr → | ||
| 13–6 | 0.06 | 15% | 23 Apr → | ||
| 11–13 | 0.02 | 9% | 23 Apr → | ||
| 13–8 | 0.09 | 25% | 23 Apr → | ||
| 15–19 | 0.08 | 24% | 21 Apr → | ||
| 11–13 | -0.03 | 14% | 20 Apr → | ||
| 13–5 | 0.12 | 20% | 20 Apr → | ||
| 14–16 | 0.04 | 13% | 20 Apr → | ||
| 13–5 | -0.02 | 13% | 19 Apr → | ||
| 5–13 | -0.00 | 19% | 19 Apr → | ||
| 9–13 | 0.00 | 27% | 19 Apr → | ||
| 16–13 | 0.05 | 24% | 19 Apr → | ||
| 9–13 | 0.06 | 17% | 19 Apr → | ||
| 10–13 | 0.01 | 26% | 18 Apr → | ||
| 8–13 | 0.02 | 10% | 18 Apr → | ||
| 13–3 | 0.08 | 16% | 18 Apr → | ||
| 10–13 | 0.02 | 17% | 18 Apr → | ||
| 16–19 | 0.10 | 18% | 18 Apr → | ||
| 10–13 | 0.18 | 18% | 18 Apr → | ||
| 13–11 | -0.01 | 22% | 18 Apr → | ||
| 13–9 | 0.09 | 14% | 15 Apr → | ||
| 6–13 | 0.03 | 14% | 15 Apr → | ||
| 11–13 | -0.03 | 15% | 14 Apr → | ||
| 4–13 | 0.03 | 23% | 12 Apr → | ||
| 6–13 | 0.06 | 19% | 12 Apr → | ||
| 11–13 | 0.09 | 19% | 12 Apr → | ||
| 13–7 | 0.05 | 24% | 12 Apr → | ||
| 13–7 | 0.02 | 22% | 12 Apr → | ||
| 13–6 | 0.04 | 14% | 12 Apr → | ||
| 11–13 | 0.00 | 15% | 12 Apr → | ||
| 7–2 | -0.05 | 31% | 12 Apr → | ||
| 10–13 | 0.03 | 21% | 6 Apr → | ||
| 13–10 | 0.12 | 16% | 6 Apr → | ||
| 13–1 | -0.01 | 11% | 5 Apr → | ||
| 8–13 | 0.03 | 15% | 5 Apr → | ||
| 13–1 | 0.05 | 25% | 5 Apr → | ||
| 8–13 | -0.04 | 23% | 5 Apr → | ||
| 13–16 | -0.00 | 16% | 4 Apr → | ||
| 13–5 | 0.10 | 22% | 4 Apr → | ||
| 4–13 | 0.08 | 25% | 4 Apr → | ||
| 13–3 | 0.04 | 23% | 4 Apr → | ||
| 13–10 | 0.07 | 17% | 4 Apr → | ||
| 13–6 | 0.14 | 17% | 4 Apr → | ||
| 4–13 | -0.03 | 16% | 4 Apr → | ||
| 13–1 | 0.17 | 32% | 3 Apr → | ||
| 13–10 | -0.01 | 15% | 3 Apr → | ||
| 11–13 | 0.03 | 32% | 3 Apr → | ||
| 14–16 | 0.02 | 22% | 3 Apr → | ||
| 17–19 | 0.02 | 15% | 3 Apr → | ||
| 14–16 | 0.03 | 28% | 31 Mar → | ||
| 13–16 | 0.06 | 24% | 31 Mar → | ||
| 8–13 | -0.03 | 20% | 30 Mar → | ||
| 3–13 | 0.10 | 19% | 30 Mar → |
Match data via Leetify.