SPT_Killer — CS2 Stats
76561199027405270[U:1:1067139542]1 game ban
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 45.0% | 47.0% | 48.5% | 3.5% short |
| Shot accuracy | 8.3% | 12.7% | 13.3% | 4.9% short |
| Kill/death ratio | 1.32 | 1.07 | 1.07 | above |
| Match win rate | 49.8% | 46.4% | 47.0% | above |
This profile matches the typical Level 9 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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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: Entry Fragger — High opening-fight frequency with above-par success in them.
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 88% 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
Areas to improve
Reaction time. 562ms 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 6.2/10 (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 | 59 | 29–30 | 49% | 0.03 | |
| D | 10 | 3–7 | 30% | 0.01 | |
| A | 8 | 5–3 | 63% | 0.02 | |
| C | 7 | 3–4 | 43% | 0.04 | |
| D | 6 | 1–5 | 17% | -0.01 | |
| — | 4 | 4–0 | 100% | 0.06 | |
| — | 2 | 2–0 | 100% | 0.11 | |
| — | 2 | 1–1 | 50% | 0.04 | |
| — | 1 | 0–1 | 0% | -0.01 | |
| grail | — | 1 | 1–0 | 100% | 0.09 |
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.
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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 153 | 59% | 1.52 | 18.4 |
| Ancient | 56 | 43% | 1.13 | 18.9 |
| Nuke | 52 | 54% | 1.37 | 19.3 |
| Mirage | 44 | 39% | 1.11 | 16.7 |
| Inferno | 32 | 38% | 1.11 | 16.8 |
| Anubis | 28 | 54% | 1.32 | 18.2 |
| Overpass | 11 | 64% | 1.34 | 18.8 |
| Train | 5 | 20% | 1.23 | 16.4 |
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 | |
|---|---|---|---|---|---|
| 6–13 | 0.10 | 16% | 26 Jul → | ||
| 2–13 | -0.06 | 15% | 19 Jul → | ||
| 12–12 | 0.05 | 17% | 19 Jul → | ||
| 13–2 | 0.06 | 34% | 16 Jul → | ||
| 13–5 | 0.08 | 19% | 5 Jul → | ||
| 0–4 | -0.02 | 0% | 2 Jun → | ||
| 13–9 | 0.06 | 30% | 31 May → | ||
| 8–13 | -0.04 | 16% | 31 May → | ||
| 13–9 | 0.07 | 26% | 31 May → | ||
| 13–8 | 0.07 | 14% | 30 May → | ||
| 13–4 | -0.00 | 19% | 26 May → | ||
| 13–9 | 0.09 | 26% | 24 May → | ||
| 13–4 | -0.02 | 15% | 24 May → | ||
| 12–12 | -0.04 | 23% | 21 May → | ||
| 9–13 | -0.02 | 8% | 20 May → | ||
| 8–13 | -0.01 | 14% | 20 May → | ||
| 13–6 | -0.01 | 24% | 18 May → | ||
| 10–13 | -0.02 | 12% | 13 May → | ||
| 7–13 | -0.01 | 16% | 12 May → | ||
| 6–13 | 0.01 | 18% | 12 May → | ||
| 13–7 | -0.01 | 20% | 12 May → | ||
| 8–13 | 0.04 | 11% | 28 Apr → | ||
| 13–5 | 0.14 | 8% | 13 Apr → | ||
| 13–4 | -0.02 | 18% | 10 Apr → | ||
| 13–7 | 0.07 | 16% | 8 Apr → | ||
| 10–13 | -0.01 | 6% | 4 Apr → | ||
| 11–13 | 0.02 | 21% | 2 Apr → | ||
| 4–13 | 0.10 | 24% | 2 Apr → | ||
| 13–5 | 0.00 | 12% | 2 Apr → | ||
| 11–13 | 0.01 | 20% | 1 Apr → | ||
| 6–13 | -0.00 | 11% | 28 Mar → | ||
| 9–13 | 0.07 | 28% | 28 Mar → | ||
| 13–10 | 0.10 | 16% | 28 Mar → | ||
| 8–8 | -0.04 | 16% | 25 Mar → | ||
| 11–13 | 0.02 | 7% | 21 Mar → | ||
| 11–13 | 0.01 | 21% | 21 Mar → | ||
| 13–16 | 0.03 | 24% | 19 Mar → | ||
| 20–22 | 0.02 | 17% | 18 Mar → | ||
| 7–13 | 0.02 | 15% | 18 Mar → | ||
| 13–5 | -0.04 | 13% | 5 Mar → | ||
| 13–3 | 0.05 | 12% | 2 Mar → | ||
| 13–10 | 0.11 | 25% | 2 Mar → | ||
| 13–9 | 0.04 | 12% | 23 Feb → | ||
| 13–3 | 0.05 | 17% | 23 Feb → | ||
| 13–16 | -0.01 | 21% | 15 Feb → | ||
| 16–13 | -0.00 | 17% | 15 Feb → | ||
| 9–3 | 0.19 | 44% | 6 Feb → | ||
| 13–11 | 0.03 | 15% | 5 Feb → | ||
| 5–13 | 0.03 | 17% | 25 Jan → | ||
| 13–5 | 0.10 | 17% | 22 Jan → | ||
| 13–6 | 0.01 | 16% | 16 Jan → | ||
| 4–13 | -0.10 | 5% | 26 Dec → | ||
| 13–7 | 0.05 | 23% | 24 Dec → | ||
| 15–15 | 0.04 | 16% | 24 Dec → | ||
| 3–13 | 0.01 | 22% | 24 Dec → | ||
| 13–11 | 0.03 | 14% | 23 Dec → | ||
| 13–9 | 0.10 | 17% | 19 Dec → | ||
| 6–13 | 0.03 | 25% | 11 Dec → | ||
| 3–13 | 0.03 | 21% | 9 Dec → | ||
| 5–13 | 0.04 | 13% | 6 Dec → | ||
| 13–8 | -0.03 | 8% | 6 Dec → | ||
| 13–1 | 0.15 | 12% | 1 Dec → | ||
| 7–13 | -0.03 | 12% | 24 Nov → | ||
| 4–13 | 0.06 | 20% | 23 Nov → | ||
| 13–5 | 0.06 | 25% | 22 Nov → | ||
| 10–13 | 0.07 | 17% | 25 Oct → | ||
| 13–4 | 0.09 | 18% | 24 Oct → | ||
| 13–8 | 0.04 | 15% | 23 Oct → | ||
| 13–9 | 0.03 | 19% | 18 Oct → | ||
| 7–13 | 0.01 | 24% | 13 Oct → | ||
| 13–10 | 0.05 | 16% | 13 Oct → | ||
| 5–13 | 0.06 | 24% | 12 Oct → | ||
| 13–11 | -0.01 | 12% | 12 Oct → | ||
| 13–10 | 0.01 | 16% | 11 Oct → | ||
| 13–7 | 0.07 | 25% | 11 Oct → | ||
| 13–6 | 0.13 | 14% | 11 Oct → | ||
| 13–16 | -0.01 | 16% | 10 Oct → | ||
| 3–10 | -0.03 | 15% | 5 Oct → | ||
| 13–3 | 0.13 | 17% | 4 Oct → | ||
| 2–8 | -0.00 | 24% | 2 Oct → | ||
| 7–13 | 0.03 | 14% | 26 Sept → | ||
| 13–9 | -0.01 | 14% | 20 Sept → | ||
| 9–13 | -0.00 | 33% | 18 Sept → | ||
| 1–5 | -0.01 | 50% | 18 Sept → | ||
| 13–0 | 0.15 | 23% | 14 Sept → | ||
| 13–0 | 0.02 | 17% | 14 Sept → | ||
| 9–13 | -0.01 | 20% | 14 Sept → | ||
| 8–13 | 0.00 | 20% | 13 Sept → | ||
| 13–6 | 0.10 | 16% | 9 Sept → | ||
| 13–10 | 0.06 | 20% | 9 Sept → | ||
| 10–13 | -0.07 | 24% | 7 Sept → | ||
| 5–7 | -0.03 | 18% | 7 Sept → | ||
| 13–2 | 0.05 | 13% | 2 Sept → | ||
| 9–13 | 0.02 | 15% | 1 Sept → | ||
| 13–6 | 0.05 | 15% | 31 Aug → | ||
| grail | 13–6 | 0.09 | 19% | 28 Aug → | |
| 11–13 | 0.02 | 12% | 27 Aug → | ||
| 10–13 | 0.02 | 18% | 26 Aug → | ||
| 9–13 | 0.08 | 22% | 26 Aug → | ||
| 13–9 | 0.04 | 9% | 26 Aug → |
Match data via Leetify.