Sprafs — CS2 Stats
76561198822702832[U:1:862437104]✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 40.6% | 42.5% | 44.2% | 3.6% short |
| Shot accuracy | 14.2% | 10.9% | 11.2% | above |
| Kill/death ratio | 1.03 | 0.99 | 1.04 | meets |
| Match win rate | 40.1% | 44.2% | 45.3% | 5.2% short |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 5 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: -40pp win rate · -0.07 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 92% playstyle similarity
Most alike: opening-duel success, utility contribution.
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. 605ms 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 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 32 | 12–20 | 38% | 0.01 | |
| B | 24 | 13–11 | 54% | 0.03 | |
| B | 11 | 5–6 | 45% | -0.00 | |
| D | 7 | 1–6 | 14% | -0.02 | |
| B | 6 | 3–3 | 50% | -0.03 | |
| — | 4 | 2–2 | 50% | -0.03 | |
| — | 3 | 1–2 | 33% | -0.06 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| office | — | 2 | 2–0 | 100% | 0.01 |
| poseidon | — | 2 | 1–1 | 50% | 0.02 |
| sanctum | — | 2 | 0–2 | 0% | 0.01 |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.08 | |
| alpine | — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke 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 |
|---|---|---|---|---|
| Mirage | 2 | 50% | 0.60 | 9.0 |
| Inferno | 1 | 100% | 0.72 | 18.0 |
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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | -0.03 | 16% | 25 Jul → | ||
| office | 13–6 | 0.03 | 14% | 11 Jul → | |
| 11–13 | -0.06 | 21% | 2 Jul → | ||
| 13–10 | -0.01 | 10% | 1 Jul → | ||
| 12–12 | -0.08 | 3% | 1 Jul → | ||
| 11–13 | -0.04 | 19% | 14 Jun → | ||
| 9–13 | -0.12 | 3% | 14 Jun → | ||
| 13–8 | 0.00 | 20% | 13 Jun → | ||
| 13–7 | -0.08 | 17% | 25 May → | ||
| 4–13 | -0.07 | 32% | 25 May → | ||
| 13–11 | 0.06 | 10% | 12 May → | ||
| 13–8 | 0.09 | 17% | 11 May → | ||
| 13–9 | 0.05 | 13% | 11 May → | ||
| 13–8 | -0.01 | 13% | 11 May → | ||
| 13–8 | 0.01 | 9% | 10 May → | ||
| 13–7 | -0.01 | 12% | 7 May → | ||
| 7–13 | -0.01 | 16% | 2 May → | ||
| 13–8 | 0.11 | 15% | 2 May → | ||
| 12–8 | -0.04 | 13% | 29 Apr → | ||
| 13–3 | 0.00 | 19% | 29 Apr → | ||
| poseidon | 8–8 | -0.05 | 5% | 29 Apr → | |
| 12–12 | 0.05 | 17% | 29 Apr → | ||
| 7–9 | 0.01 | 29% | 25 Apr → | ||
| 1–9 | -0.21 | 6% | 23 Apr → | ||
| 6–9 | -0.11 | 14% | 23 Apr → | ||
| 8–13 | -0.08 | 11% | 23 Apr → | ||
| 1–13 | -0.07 | 21% | 23 Apr → | ||
| 5–9 | -0.05 | 7% | 22 Apr → | ||
| 13–3 | 0.00 | 21% | 22 Apr → | ||
| 6–13 | -0.01 | 11% | 20 Apr → | ||
| 6–13 | -0.01 | 15% | 15 Apr → | ||
| 8–13 | -0.02 | 17% | 15 Apr → | ||
| 12–12 | 0.06 | 19% | 15 Apr → | ||
| 7–13 | -0.03 | 23% | 15 Apr → | ||
| 13–10 | 0.00 | 16% | 14 Apr → | ||
| 5–13 | -0.02 | 16% | 13 Apr → | ||
| sanctum | 8–8 | 0.08 | 10% | 8 Apr → | |
| 5–9 | -0.02 | 12% | 8 Apr → | ||
| 2–9 | -0.19 | 12% | 8 Apr → | ||
| 5–13 | -0.09 | 6% | 6 Apr → | ||
| 13–7 | 0.11 | 21% | 26 Mar → | ||
| 13–8 | -0.06 | 23% | 25 Mar → | ||
| 3–13 | -0.02 | 3% | 24 Mar → | ||
| 8–13 | -0.09 | 5% | 19 Mar → | ||
| office | 13–7 | -0.02 | 13% | 16 Mar → | |
| 0–8 | -0.04 | 8% | 16 Mar → | ||
| 5–13 | -0.07 | 8% | 16 Mar → | ||
| 12–12 | -0.05 | 13% | 16 Mar → | ||
| 9–13 | -0.00 | 15% | 14 Mar → | ||
| 13–5 | -0.05 | 6% | 14 Mar → | ||
| 11–13 | -0.01 | 9% | 10 Mar → | ||
| 12–12 | 0.00 | 13% | 10 Mar → | ||
| 0–6 | -0.10 | 33% | 10 Mar → | ||
| 8–8 | -0.00 | 21% | 10 Mar → | ||
| 13–7 | -0.10 | 0% | 27 Feb → | ||
| 3–13 | 0.05 | 6% | 24 Feb → | ||
| 8–13 | -0.01 | 9% | 24 Feb → | ||
| poseidon | 9–6 | 0.09 | 21% | 23 Feb → | |
| sanctum | 4–9 | -0.06 | 9% | 22 Feb → | |
| 13–9 | 0.25 | 17% | 18 Feb → | ||
| 13–6 | 0.22 | 14% | 18 Feb → | ||
| 7–13 | 0.07 | 22% | 17 Feb → | ||
| 13–5 | 0.12 | 14% | 17 Feb → | ||
| 6–13 | 0.12 | 16% | 17 Feb → | ||
| 13–11 | 0.12 | 31% | 16 Feb → | ||
| 13–9 | 0.09 | 13% | 16 Feb → | ||
| 6–13 | 0.09 | 22% | 16 Feb → | ||
| 13–3 | 0.09 | 12% | 15 Feb → | ||
| 8–13 | 0.12 | 10% | 15 Feb → | ||
| 4–13 | 0.04 | 18% | 15 Feb → | ||
| 6–13 | -0.07 | 11% | 12 Feb → | ||
| 9–13 | 0.01 | 17% | 11 Feb → | ||
| 11–13 | 0.03 | 20% | 10 Feb → | ||
| 13–11 | 0.00 | 19% | 10 Feb → | ||
| 12–12 | 0.00 | 16% | 9 Feb → | ||
| 13–3 | 0.04 | 15% | 9 Feb → | ||
| 6–13 | 0.01 | 18% | 8 Feb → | ||
| alpine | 13–7 | 0.01 | 7% | 8 Feb → | |
| 2–13 | -0.01 | 32% | 8 Feb → | ||
| 13–8 | 0.04 | 40% | 6 Feb → | ||
| 13–10 | 0.08 | 20% | 6 Feb → | ||
| 2–5 | 0.09 | 19% | 6 Feb → | ||
| 13–11 | 0.05 | 17% | 6 Feb → | ||
| 13–11 | -0.02 | 20% | 5 Feb → | ||
| 13–11 | -0.06 | 13% | 5 Feb → | ||
| 7–13 | 0.05 | 13% | 5 Feb → | ||
| 11–13 | -0.02 | 15% | 5 Feb → | ||
| 13–8 | 0.08 | 15% | 4 Feb → | ||
| 4–13 | -0.02 | 21% | 4 Feb → | ||
| 12–12 | 0.00 | 14% | 4 Feb → | ||
| 13–4 | -0.00 | 7% | 4 Feb → | ||
| 13–1 | 0.04 | 14% | 4 Feb → | ||
| 13–2 | 0.08 | 14% | 3 Feb → | ||
| 11–13 | 0.06 | 36% | 3 Feb → | ||
| 8–13 | 0.04 | 30% | 3 Feb → | ||
| 13–10 | 0.09 | 13% | 31 Jan → | ||
| 13–10 | 0.01 | 9% | 31 Jan → | ||
| 13–11 | 0.08 | 15% | 31 Jan → | ||
| 9–13 | 0.05 | 10% | 31 Jan → | ||
| 11–13 | -0.01 | 16% | 31 Jan → |
Match data via Leetify.