Seraphimnoob — CS2 Stats
76561198840042431[U:1:879776703]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | 55.7% | 52.8% |
| Shot accuracy | 8.3% | 13.7% |
| Kill/death ratio | 1.13 | 1.08 |
| Match win rate | 50.2% | 49.2% |
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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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 Twistzz 91% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; lower utility contribution.
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 57% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 617ms 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 (×1.00 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 | 21 | 11–10 | 52% | -0.01 | |
| D | 17 | 4–13 | 24% | 0.02 | |
| B | 16 | 8–8 | 50% | -0.01 | |
| B | 14 | 7–7 | 50% | 0.02 | |
| C | 9 | 4–5 | 44% | -0.00 | |
| D | 8 | 2–6 | 25% | 0.00 | |
| D | 6 | 1–5 | 17% | -0.01 | |
| — | 3 | 0–3 | 0% | -0.04 | |
| — | 2 | 2–0 | 100% | 0.14 | |
| — | 1 | 0–1 | 0% | 0.04 | |
| poseidon | — | 1 | 1–0 | 100% | 0.25 |
| sanctum | — | 1 | 1–0 | 100% | -0.00 |
| warden | — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (17% over 6). 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 resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 223 | 60% | 1.24 | 19.0 |
| Inferno | 131 | 53% | 1.23 | 18.5 |
| Nuke | 121 | 45% | 1.18 | 19.4 |
| Dust2 | 117 | 37% | 1.03 | 17.4 |
| Anubis | 110 | 54% | 1.13 | 18.3 |
| Mirage | 67 | 42% | 1.00 | 15.8 |
| Overpass | 61 | 51% | 1.17 | 18.9 |
| Train | 51 | 59% | 1.17 | 18.8 |
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 21.7649% — 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 | |
|---|---|---|---|---|---|
| 16–13 | 0.02 | 22% | 28 Aug → | ||
| 13–9 | 0.11 | 27% | 21 Aug → | ||
| 6–13 | -0.10 | 17% | 21 Aug → | ||
| 10–13 | -0.05 | 22% | 21 Aug → | ||
| 5–13 | -0.03 | 27% | 2 Jun → | ||
| 0–4 | -0.05 | 0% | 2 Jun → | ||
| 10–13 | -0.06 | 17% | 24 May → | ||
| 10–13 | -0.05 | 32% | 24 May → | ||
| 8–13 | -0.03 | 23% | 19 May → | ||
| 9–13 | -0.00 | 27% | 19 May → | ||
| 13–4 | 0.04 | 33% | 12 May → | ||
| 7–6 | -0.02 | 37% | 10 May → | ||
| 13–6 | 0.02 | 32% | 7 May → | ||
| 13–10 | 0.01 | 24% | 1 May → | ||
| 9–13 | -0.01 | 34% | 1 May → | ||
| 7–13 | 0.04 | 48% | 30 Apr → | ||
| 5–13 | -0.08 | 25% | 29 Apr → | ||
| 10–13 | -0.04 | 54% | 29 Apr → | ||
| 10–13 | -0.02 | 35% | 29 Apr → | ||
| 7–13 | -0.05 | 23% | 29 Apr → | ||
| 11–13 | -0.04 | 25% | 28 Apr → | ||
| 19–17 | -0.02 | 22% | 28 Apr → | ||
| 7–9 | -0.08 | 27% | 27 Apr → | ||
| 7–13 | -0.03 | 31% | 25 Apr → | ||
| 7–13 | -0.07 | 23% | 24 Apr → | ||
| 9–13 | -0.05 | 29% | 23 Apr → | ||
| 9–4 | 0.16 | 39% | 22 Apr → | ||
| 8–8 | -0.05 | 20% | 22 Apr → | ||
| 8–13 | 0.04 | 40% | 22 Apr → | ||
| 9–4 | 0.22 | 35% | 21 Apr → | ||
| 10–13 | 0.00 | 31% | 21 Apr → | ||
| 16–14 | -0.03 | 37% | 21 Apr → | ||
| 13–7 | 0.00 | 27% | 20 Apr → | ||
| 15–15 | 0.01 | 30% | 20 Apr → | ||
| 10–13 | -0.03 | 25% | 20 Apr → | ||
| 4–0 | -0.06 | 20% | 20 Apr → | ||
| 8–13 | -0.04 | 31% | 19 Apr → | ||
| 9–4 | 0.19 | 50% | 18 Apr → | ||
| 13–9 | -0.01 | 40% | 18 Apr → | ||
| 15–15 | 0.00 | 27% | 17 Apr → | ||
| 16–13 | 0.01 | 25% | 17 Apr → | ||
| 16–14 | 0.01 | 24% | 17 Apr → | ||
| 7–13 | -0.02 | 23% | 17 Apr → | ||
| 13–9 | -0.02 | 21% | 17 Apr → | ||
| 5–9 | 0.02 | 30% | 17 Apr → | ||
| 7–9 | 0.06 | 35% | 17 Apr → | ||
| 5–9 | 0.09 | 35% | 17 Apr → | ||
| 13–4 | -0.03 | 22% | 17 Apr → | ||
| 14–16 | 0.03 | 27% | 17 Apr → | ||
| poseidon | 9–2 | 0.25 | 36% | 15 Apr → | |
| 13–7 | 0.01 | 27% | 15 Apr → | ||
| 13–7 | -0.03 | 38% | 15 Apr → | ||
| 11–13 | 0.00 | 67% | 12 Apr → | ||
| 13–4 | 0.04 | 32% | 12 Apr → | ||
| 13–5 | -0.05 | 37% | 12 Apr → | ||
| 13–16 | 0.01 | 21% | 12 Apr → | ||
| 11–13 | 0.04 | 26% | 12 Apr → | ||
| 9–13 | -0.04 | 23% | 11 Apr → | ||
| 3–13 | 0.05 | 16% | 10 Apr → | ||
| 7–13 | -0.00 | 17% | 10 Apr → | ||
| 13–9 | 0.07 | 29% | 9 Apr → | ||
| 8–13 | 0.00 | 19% | 9 Apr → | ||
| 8–13 | -0.04 | 27% | 8 Apr → | ||
| 13–9 | 0.01 | 50% | 8 Apr → | ||
| 6–13 | 0.02 | 40% | 8 Apr → | ||
| sanctum | 9–5 | -0.00 | 38% | 7 Apr → | |
| 10–13 | 0.01 | 23% | 7 Apr → | ||
| 13–10 | 0.04 | 30% | 7 Apr → | ||
| 13–5 | 0.07 | 27% | 5 Apr → | ||
| 19–16 | 0.01 | 27% | 5 Apr → | ||
| 13–8 | 0.00 | 37% | 3 Apr → | ||
| 14–16 | 0.03 | 27% | 31 Mar → | ||
| 16–12 | -0.01 | 22% | 31 Mar → | ||
| 13–11 | -0.01 | 38% | 30 Mar → | ||
| 13–9 | 0.02 | 25% | 30 Mar → | ||
| 13–16 | -0.04 | 28% | 30 Mar → | ||
| 7–13 | 0.04 | 24% | 27 Mar → | ||
| 9–13 | 0.04 | 44% | 27 Mar → | ||
| 16–14 | 0.03 | 32% | 27 Mar → | ||
| 10–13 | -0.01 | 19% | 26 Mar → | ||
| 8–13 | -0.07 | 27% | 26 Mar → | ||
| 8–13 | 0.03 | 29% | 26 Mar → | ||
| 13–6 | 0.05 | 31% | 26 Mar → | ||
| 11–13 | -0.04 | 24% | 25 Mar → | ||
| 9–13 | 0.02 | 40% | 21 Mar → | ||
| 13–10 | -0.00 | 25% | 18 Mar → | ||
| 10–11 | -0.02 | 38% | 17 Mar → | ||
| 10–13 | 0.00 | 25% | 15 Mar → | ||
| 11–13 | 0.04 | 28% | 14 Mar → | ||
| 13–11 | -0.09 | 24% | 14 Mar → | ||
| warden | 6–3 | 0.07 | 44% | 13 Mar → | |
| 13–2 | 0.06 | 41% | 13 Mar → | ||
| 13–6 | -0.05 | 32% | 11 Mar → | ||
| 10–13 | -0.04 | 33% | 10 Mar → | ||
| 13–6 | 0.09 | 36% | 10 Mar → | ||
| 14–16 | 0.03 | 31% | 9 Mar → | ||
| 13–6 | 0.06 | 35% | 9 Mar → | ||
| 13–8 | 0.02 | 23% | 8 Mar → | ||
| 15–15 | -0.00 | 29% | 8 Mar → | ||
| 11–13 | -0.01 | 40% | 8 Mar → |
Match data via Leetify.