McGrundle — CS2 Stats
US76561198003468812[U:1:43203084]Steam profile ↗✓ No bans
Rating over time
Premier CS Rating
- At peak — 22,826
- Next: Red band at 25,000 — 2,174 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
- Pink band first seen 2026-08-30
- Purple band first seen 2026-08-30
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=6,418), 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 | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 47.6% | 47.1% | 50.0% | 2.4% short |
| Shot accuracy | 21.8% | 12.8% | 13.5% | above |
| Kill/death ratio | 1.35 | 1.08 | 1.13 | above |
| Match win rate | 45.7% | 46.6% | 48.4% | 2.7% short |
This profile matches the typical Red band player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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: -10pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingReliable in 1v1s
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 ZywOo 92% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: 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
Strengths
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 643ms 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 7.7/10 (Strong), 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 |
|---|---|---|---|---|---|
 dust2 | S | 20 | 14–6 | 70% | 0.04 |
 cache | S | 17 | 11–6 | 65% | 0.04 |
 inferno | S | 13 | 11–2 | 85% | 0.05 |
 mirage | S | 13 | 9–4 | 69% | -0.00 |
 nuke | D | 9 | 3–6 | 33% | 0.04 |
 ancient | D | 9 | 3–6 | 33% | 0.00 |
 overpass | S | 7 | 5–2 | 71% | 0.03 |
 anubis | — | 4 | 1–3 | 25% | 0.03 |
 vertigo | — | 3 | 2–1 | 67% | -0.05 |
 train | — | 2 | 1–1 | 50% | 0.00 |
| boulder | — | 1 | 1–0 | 100% | 0.03 |
| office | — | 1 | 0–1 | 0% | 0.08 |
| agency | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 9). 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 4 | 100% | 1.79 | 16.3 |
| Mirage | 3 | 100% | 0.90 | 11.7 |
| Cache | 3 | 67% | 0.80 | 12.7 |
| Nuke | 1 | 100% | 0.80 | 24.0 |
| Anubis | 1 | 100% | 1.00 | 9.0 |
| Ancient | 1 | 100% | 1.47 | 22.0 |
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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| boulder | 13–4 | 0.03 | 17% | 15 Jul → | |
| office | 8–13 | 0.08 | 23% | 13 Jul → | |
| nuke | 9–13 | -0.00 | 15% | 11 Jul → | |
| cache | 11–13 | 0.13 | 20% | 11 Jul → | |
| inferno | 13–7 | 0.08 | 17% | 10 Jul → | |
| dust2 | 8–13 | 0.01 | 24% | 10 Jul → | |
| inferno | 13–4 | 0.08 | 19% | 9 Jul → | |
| nuke | 5–10 | 0.14 | 20% | 9 Jul → | |
| cache | 13–2 | 0.09 | 17% | 8 Jul → | |
| cache | 13–10 | -0.03 | 11% | 8 Jul → | |
| inferno | 13–8 | 0.04 | 20% | 8 Jul → | |
| mirage | 9–13 | -0.09 | 19% | 7 Jul → | |
| cache | 13–7 | 0.18 | 24% | 7 Jul → | |
| cache | 5–13 | 0.05 | 22% | 5 Jul → | |
| cache | 13–9 | 0.09 | 17% | 5 Jul → | |
| dust2 | 13–1 | 0.11 | 20% | 5 Jul → | |
| inferno | 10–13 | -0.02 | 23% | 5 Jul → | |
| mirage | 16–12 | -0.03 | 25% | 4 Jul → | |
| dust2 | 13–11 | 0.05 | 18% | 3 Jul → | |
| inferno | 12–12 | -0.03 | 13% | 3 Jul → | |
| ancient | 9–13 | -0.01 | 21% | 3 Jul → | |
| anubis | 5–13 | 0.04 | 25% | 30 Jun → | |
| inferno | 13–7 | 0.16 | 19% | 30 Jun → | |
| vertigo | 12–12 | -0.05 | 18% | 30 Jun → | |
| train | 11–13 | -0.01 | 20% | 30 Jun → | |
| dust2 | 13–8 | 0.12 | 20% | 29 Jun → | |
| nuke | 2–13 | -0.03 | 26% | 29 Jun → | |
| mirage | 13–11 | -0.05 | 32% | 17 Jun → | |
| dust2 | 13–8 | 0.00 | 10% | 17 Jun → | |
| mirage | 13–6 | 0.02 | 12% | 14 Jun → | |
| inferno | 13–4 | 0.04 | 14% | 14 Jun → | |
| ancient | 11–13 | -0.02 | 26% | 14 Jun → | |
| dust2 | 13–3 | -0.01 | 11% | 12 Jun → | |
| inferno | 13–10 | -0.03 | 30% | 12 Jun → | |
| anubis | 13–9 | 0.01 | 15% | 12 Jun → | |
| vertigo | 13–10 | -0.05 | 21% | 12 Jun → | |
| mirage | 8–13 | -0.04 | 25% | 12 Jun → | |
| dust2 | 5–13 | 0.03 | 15% | 16 May → | |
| nuke | 9–13 | 0.04 | 14% | 15 May → | |
| nuke | 11–13 | 0.03 | 17% | 15 May → | |
| anubis | 11–13 | 0.05 | 20% | 13 May → | |
| cache | 9–13 | -0.02 | 21% | 10 May → | |
| anubis | 10–13 | 0.01 | 14% | 10 May → | |
| nuke | 11–1 | 0.02 | 22% | 10 May → | |
| ancient | 3–13 | 0.03 | 9% | 10 May → | |
| dust2 | 13–3 | 0.10 | 20% | 8 May → | |
| cache | 13–11 | -0.00 | 17% | 8 May → | |
| mirage | 13–4 | -0.00 | 22% | 4 May → | |
| ancient | 7–13 | -0.04 | 12% | 3 May → | |
| ancient | 13–8 | -0.01 | 33% | 3 May → | |
| dust2 | 8–13 | -0.04 | 11% | 2 May → | |
| cache | 12–12 | 0.00 | 21% | 1 May → | |
| cache | 13–2 | 0.04 | 19% | 1 May → | |
| cache | 13–4 | 0.15 | 20% | 1 May → | |
| cache | 13–6 | 0.03 | 22% | 1 May → | |
| cache | 9–13 | -0.05 | 22% | 1 May → | |
| mirage | 13–2 | 0.03 | 30% | 1 May → | |
| cache | 13–9 | 0.00 | 41% | 29 Apr → | |
| cache | 12–12 | -0.02 | 27% | 29 Apr → | |
| cache | 13–6 | -0.02 | 18% | 28 Apr → | |
| mirage | 13–8 | 0.14 | 24% | 28 Apr → | |
| vertigo | 13–9 | -0.06 | 8% | 28 Apr → | |
| dust2 | 13–1 | 0.10 | 23% | 28 Apr → | |
| train | 13–6 | 0.01 | 29% | 28 Apr → | |
| overpass | 13–7 | 0.17 | 22% | 27 Apr → | |
| overpass | 16–14 | 0.03 | 25% | 26 Apr → | |
| dust2 | 3–0 | 0.20 | 50% | 26 Apr → | |
| dust2 | 13–10 | -0.01 | 24% | 26 Apr → | |
| mirage | 13–4 | -0.04 | 17% | 26 Apr → | |
| nuke | 13–2 | 0.04 | 17% | 26 Apr → | |
| inferno | 13–9 | 0.03 | 15% | 26 Apr → | |
| dust2 | 13–10 | 0.06 | 16% | 26 Apr → | |
| agency | 12–12 | -0.01 | 17% | 11 Jan → | |
| overpass | 13–4 | -0.04 | 24% | 11 Jan → | |
| ancient | 15–15 | -0.01 | 18% | 4 Jan → | |
| ancient | 13–3 | 0.13 | 29% | 1 Jan → | |
| dust2 | 13–4 | 0.02 | 32% | 27 Dec → | |
| dust2 | 13–3 | 0.09 | 20% | 11 Oct → | |
| dust2 | 10–13 | 0.04 | 21% | 8 Sept → | |
| ancient | 13–10 | -0.00 | 18% | 5 Sept → | |
| ancient | 10–13 | -0.06 | 11% | 31 Jul → | |
| mirage | 13–7 | 0.01 | 26% | 30 Jul → | |
| nuke | 6–13 | -0.03 | 28% | 30 Jul → | |
| dust2 | 13–7 | 0.14 | 26% | 15 Mar → | |
| nuke | 13–7 | 0.18 | 25% | 9 Sept → | |
| inferno | 13–9 | 0.06 | 21% | 9 Sept → | |
| overpass | 12–1 | 0.06 | 13% | 8 Sept → | |
| inferno | 13–4 | 0.12 | 25% | 6 Sept → | |
| overpass | 13–7 | 0.01 | 10% | 6 Sept → | |
| mirage | 5–13 | -0.05 | 17% | 6 Sept → | |
| overpass | 4–13 | -0.04 | 32% | 5 Sept → | |
| inferno | 16–5 | 0.05 | 16% | 17 Mar → | |
| dust2 | 16–12 | -0.02 | 23% | 12 Mar → | |
| dust2 | 6–16 | -0.08 | 21% | 12 Mar → | |
| mirage | 6–16 | -0.00 | 18% | 12 Mar → | |
| cache | 9–6 | 0.09 | 26% | 6 Mar → | |
| mirage | 9–5 | 0.05 | 17% | 6 Mar → | |
| dust2 | 8–8 | -0.04 | 14% | 6 Mar → | |
| overpass | 15–15 | 0.03 | 28% | 25 Jun → | |
| inferno | 16–14 | 0.06 | 18% | 8 Sept → |
Match data via Leetify.
