Russelsprout — CS2 Stats
DZ76561198091140248[U:1:130874520]Steam profile ↗
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.05 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerLimited utility dependence
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 sh1ro 87% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 60% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 569ms 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 | 24 | 13–11 | 54% | 0.04 | |
| A | 20 | 12–8 | 60% | 0.04 | |
| C | 19 | 8–11 | 42% | 0.04 | |
| D | 14 | 4–10 | 29% | 0.02 | |
| A | 11 | 7–4 | 64% | 0.06 | |
| B | 8 | 4–4 | 50% | -0.00 | |
| — | 3 | 2–1 | 67% | -0.03 | |
| — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 9.9955% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.6343 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.06 | 15% | 2 Aug → | ||
| 13–6 | 0.02 | 4% | 31 Jul → | ||
| 11–13 | 0.02 | 10% | 31 Jul → | ||
| 2–13 | -0.10 | 11% | 31 Jul → | ||
| 13–11 | 0.12 | 20% | 31 Jul → | ||
| 9–13 | -0.01 | 13% | 30 Jul → | ||
| 10–13 | -0.03 | 10% | 30 Jul → | ||
| 13–10 | 0.02 | 9% | 29 Jul → | ||
| 15–15 | -0.00 | 10% | 29 Jul → | ||
| 13–8 | 0.03 | 16% | 28 Jul → | ||
| 13–4 | 0.06 | 14% | 28 Jul → | ||
| 13–8 | 0.01 | 10% | 28 Jul → | ||
| 8–13 | 0.02 | 7% | 27 Jul → | ||
| 13–11 | 0.07 | 9% | 27 Jul → | ||
| 13–10 | 0.04 | 9% | 27 Jul → | ||
| 13–8 | 0.04 | 9% | 24 Jul → | ||
| 15–15 | 0.02 | 7% | 24 Jul → | ||
| 6–13 | 0.11 | 16% | 24 Jul → | ||
| 13–10 | 0.05 | 12% | 23 Jul → | ||
| 15–15 | 0.04 | 10% | 23 Jul → | ||
| 11–13 | -0.00 | 8% | 23 Jul → | ||
| 9–13 | 0.06 | 5% | 21 Jul → | ||
| 11–13 | 0.05 | 13% | 21 Jul → | ||
| 6–13 | -0.06 | 5% | 21 Jul → | ||
| 13–6 | 0.10 | 6% | 21 Jul → | ||
| 9–13 | -0.01 | 5% | 20 Jul → | ||
| 7–13 | 0.05 | 12% | 15 Jul → | ||
| 13–5 | 0.10 | 13% | 15 Jul → | ||
| 3–13 | -0.05 | 12% | 15 Jul → | ||
| 7–13 | 0.03 | 6% | 15 Jul → | ||
| 10–13 | -0.03 | 5% | 15 Jul → | ||
| 6–13 | -0.04 | 8% | 14 Jul → | ||
| 5–13 | 0.03 | 7% | 14 Jul → | ||
| 13–9 | 0.06 | 9% | 14 Jul → | ||
| 13–4 | -0.02 | 4% | 14 Jul → | ||
| 16–13 | 0.03 | 9% | 14 Jul → | ||
| 13–8 | 0.00 | 7% | 14 Jul → | ||
| 13–9 | 0.10 | 18% | 14 Jul → | ||
| 13–10 | -0.03 | 9% | 14 Jul → | ||
| 8–13 | -0.02 | 11% | 13 Jul → | ||
| 9–13 | 0.06 | 8% | 13 Jul → | ||
| 13–8 | 0.14 | 7% | 13 Jul → | ||
| 13–2 | 0.00 | 2% | 13 Jul → | ||
| 10–13 | 0.05 | 11% | 12 Jul → | ||
| 13–11 | 0.05 | 15% | 12 Jul → | ||
| 7–13 | 0.01 | 8% | 10 Jul → | ||
| 13–3 | 0.25 | 2% | 9 Jul → | ||
| 13–7 | 0.05 | 8% | 9 Jul → | ||
| 13–6 | 0.05 | 5% | 9 Jul → | ||
| 12–0 | 0.10 | 13% | 8 Jul → | ||
| 12–12 | 0.03 | 8% | 8 Jul → | ||
| 13–3 | 0.17 | 17% | 8 Jul → | ||
| 6–13 | 0.07 | 7% | 8 Jul → | ||
| 13–5 | 0.03 | 17% | 8 Jul → | ||
| 13–6 | 0.10 | 15% | 7 Jul → | ||
| 13–3 | 0.07 | 5% | 7 Jul → | ||
| 9–13 | 0.04 | 20% | 6 Jul → | ||
| 13–6 | 0.06 | 12% | 6 Jul → | ||
| 12–12 | 0.04 | 9% | 6 Jul → | ||
| 11–13 | 0.00 | 14% | 5 Jul → | ||
| 11–13 | -0.01 | 8% | 5 Jul → | ||
| 13–6 | 0.05 | 2% | 5 Jul → | ||
| 13–4 | 0.10 | 16% | 5 Jul → | ||
| 9–13 | -0.03 | 12% | 5 Jul → | ||
| 10–13 | -0.00 | 13% | 3 Jul → | ||
| 14–16 | 0.04 | 18% | 3 Jul → | ||
| 13–4 | 0.02 | 17% | 3 Jul → | ||
| 13–11 | -0.04 | 9% | 3 Jul → | ||
| 7–13 | -0.02 | 8% | 1 Jul → | ||
| 13–10 | 0.07 | 11% | 1 Jul → | ||
| 5–13 | 0.08 | 15% | 1 Jul → | ||
| 9–13 | 0.02 | 10% | 1 Jul → | ||
| 9–13 | 0.03 | 8% | 30 Jun → | ||
| 13–2 | 0.07 | 26% | 30 Jun → | ||
| 1–8 | -0.01 | 3% | 30 Jun → | ||
| 13–10 | 0.08 | 9% | 30 Jun → | ||
| 13–1 | -0.03 | 14% | 30 Jun → | ||
| 13–5 | 0.06 | 9% | 30 Jun → | ||
| 13–10 | -0.02 | 17% | 29 Jun → | ||
| 7–13 | -0.02 | 12% | 29 Jun → | ||
| 13–5 | 0.02 | 4% | 29 Jun → | ||
| 13–1 | 0.02 | 8% | 29 Jun → | ||
| 13–3 | 0.12 | 17% | 29 Jun → | ||
| 6–13 | 0.01 | 19% | 29 Jun → | ||
| 13–11 | -0.01 | 16% | 29 Jun → | ||
| 13–6 | 0.03 | 14% | 28 Jun → | ||
| 13–6 | 0.09 | 13% | 28 Jun → | ||
| 8–13 | 0.05 | 11% | 28 Jun → | ||
| 11–13 | -0.04 | 26% | 28 Jun → | ||
| 9–13 | -0.01 | 10% | 27 Jun → | ||
| 8–13 | 0.06 | 14% | 27 Jun → | ||
| 13–16 | 0.04 | 10% | 27 Jun → | ||
| 13–11 | 0.09 | 14% | 26 Jun → | ||
| 16–14 | -0.02 | 13% | 26 Jun → | ||
| 11–13 | -0.02 | 10% | 25 Jun → | ||
| 11–13 | 0.09 | 10% | 25 Jun → | ||
| 11–13 | 0.02 | 11% | 25 Jun → | ||
| 13–8 | 0.03 | 6% | 25 Jun → | ||
| 13–11 | -0.02 | 7% | 25 Jun → | ||
| 13–7 | -0.03 | 10% | 25 Jun → |
Match data via Leetify.