Groundhog — CS2 Stats
US76561198078692619[U:1:118426891]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), 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 | 40.8% | 47.2% | 49.9% | 9.1% short |
| Shot accuracy | 13.8% | 12.7% | 13.4% | above |
| Kill/death ratio | 0.96 | 1.09 | 1.12 | 0.16 short |
| Match win rate | 43.4% | 46.6% | 48.4% | 5.0% short |
This profile matches the typical Red band player on 1 of 4 comparable metrics.
Widest gap: Headshot 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.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited 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 NiKo 83% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower positioning 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
Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 559ms 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 5.8/10 (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 |
|---|---|---|---|---|---|
 mirage | A | 23 | 13–10 | 57% | -0.02 |
 nuke | A | 21 | 12–9 | 57% | -0.02 |
 anubis | B | 21 | 11–10 | 52% | -0.03 |
 ancient | B | 13 | 7–6 | 54% | -0.02 |
 inferno | C | 9 | 4–5 | 44% | -0.04 |
 cache | S | 8 | 6–2 | 75% | -0.00 |
 dust2 | — | 3 | 0–3 | 0% | -0.07 |
 overpass | — | 2 | 1–1 | 50% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (44% over 9). 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 17 | 59% | 0.99 | 13.9 |
| Ancient | 10 | 70% | 0.86 | 12.8 |
| Inferno | 8 | 62% | 0.91 | 13.8 |
| Anubis | 7 | 71% | 1.03 | 15.0 |
| Vertigo | 7 | 43% | 0.84 | 15.3 |
| Dust2 | 3 | 67% | 0.82 | 12.0 |
| Train | 1 | 100% | 1.18 | 20.0 |
| Overpass | 1 | 100% | 0.53 | 9.0 |
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
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 12.8396% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3542 — below the 0.5 mark we flag
- 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 31.8491% — 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.
44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 4–13 | -0.02 | 16% | 13 Aug → | |
| nuke | 13–8 | 0.01 | 15% | 10 Aug → | |
| anubis | 13–11 | -0.04 | 13% | 9 Aug → | |
| cache | 13–6 | -0.05 | 25% | 2 Aug → | |
| mirage | 13–16 | -0.04 | 16% | 30 Jul → | |
| cache | 8–13 | -0.08 | 9% | 28 Jul → | |
| cache | 13–5 | 0.03 | 15% | 28 Jul → | |
| anubis | 4–13 | -0.05 | 13% | 27 Jul → | |
| ancient | 9–13 | -0.02 | 12% | 23 Jul → | |
| anubis | 14–16 | -0.03 | 16% | 22 Jul → | |
| nuke | 13–11 | 0.04 | 8% | 21 Jul → | |
| anubis | 13–11 | -0.01 | 9% | 19 Jul → | |
| mirage | 5–13 | -0.04 | 6% | 19 Jul → | |
| inferno | 13–9 | -0.02 | 10% | 19 Jul → | |
| anubis | 13–9 | 0.01 | 7% | 19 Jul → | |
| inferno | 14–16 | -0.03 | 7% | 17 Jul → | |
| cache | 13–9 | -0.04 | 23% | 17 Jul → | |
| nuke | 13–9 | -0.01 | 12% | 16 Jul → | |
| ancient | 10–13 | -0.02 | 15% | 15 Jul → | |
| nuke | 4–13 | -0.06 | 13% | 15 Jul → | |
| mirage | 16–13 | -0.02 | 15% | 14 Jul → | |
| cache | 13–10 | 0.10 | 12% | 14 Jul → | |
| ancient | 16–13 | 0.06 | 11% | 13 Jul → | |
| mirage | 13–9 | -0.03 | 12% | 12 Jul → | |
| cache | 13–6 | 0.01 | 17% | 12 Jul → | |
| mirage | 13–8 | 0.01 | 11% | 12 Jul → | |
| anubis | 11–13 | -0.02 | 15% | 12 Jul → | |
| mirage | 13–4 | -0.05 | 10% | 11 Jul → | |
| dust2 | 6–13 | -0.10 | 8% | 11 Jul → | |
| nuke | 13–9 | -0.03 | 14% | 11 Jul → | |
| mirage | 13–11 | -0.06 | 7% | 11 Jul → | |
| inferno | 13–8 | -0.00 | 4% | 11 Jul → | |
| cache | 13–11 | 0.03 | 19% | 9 Jul → | |
| mirage | 2–13 | -0.06 | 6% | 9 Jul → | |
| cache | 2–13 | -0.01 | 20% | 8 Jul → | |
| mirage | 10–13 | -0.00 | 12% | 5 Jul → | |
| inferno | 7–13 | -0.04 | 12% | 5 Jul → | |
| mirage | 10–13 | -0.04 | 15% | 5 Jul → | |
| inferno | 15–15 | -0.07 | 10% | 2 Jul → | |
| anubis | 13–9 | -0.01 | 13% | 2 Jul → | |
| nuke | 13–11 | 0.03 | 11% | 1 Jul → | |
| nuke | 13–11 | -0.08 | 18% | 30 Jun → | |
| inferno | 8–13 | -0.09 | 8% | 29 Jun → | |
| anubis | 13–11 | -0.07 | 21% | 29 Jun → | |
| nuke | 10–13 | 0.01 | 26% | 28 Jun → | |
| anubis | 13–5 | -0.00 | 14% | 28 Jun → | |
| ancient | 13–7 | -0.04 | 20% | 28 Jun → | |
| nuke | 0–13 | -0.05 | 0% | 27 Jun → | |
| ancient | 6–13 | -0.05 | 8% | 27 Jun → | |
| mirage | 0–6 | -0.04 | 13% | 27 Jun → | |
| anubis | 10–13 | -0.06 | 19% | 25 Jun → | |
| mirage | 2–8 | 0.00 | 17% | 25 Jun → | |
| mirage | 13–7 | 0.02 | 9% | 24 Jun → | |
| mirage | 13–3 | 0.12 | 24% | 24 Jun → | |
| ancient | 11–13 | 0.02 | 13% | 24 Jun → | |
| mirage | 13–5 | 0.01 | 7% | 23 Jun → | |
| inferno | 1–13 | -0.04 | 33% | 23 Jun → | |
| anubis | 8–13 | -0.07 | 29% | 22 Jun → | |
| ancient | 16–14 | -0.03 | 17% | 22 Jun → | |
| ancient | 13–8 | 0.00 | 13% | 22 Jun → | |
| inferno | 13–7 | -0.03 | 26% | 22 Jun → | |
| anubis | 13–11 | 0.01 | 14% | 21 Jun → | |
| nuke | 13–11 | -0.06 | 9% | 21 Jun → | |
| anubis | 8–13 | -0.05 | 15% | 21 Jun → | |
| nuke | 13–3 | 0.02 | 26% | 19 Jun → | |
| dust2 | 1–13 | -0.10 | 14% | 19 Jun → | |
| mirage | 3–13 | -0.05 | 15% | 19 Jun → | |
| mirage | 16–14 | -0.02 | 14% | 19 Jun → | |
| dust2 | 9–13 | -0.01 | 18% | 18 Jun → | |
| anubis | 13–7 | 0.03 | 14% | 18 Jun → | |
| anubis | 7–13 | -0.05 | 16% | 17 Jun → | |
| mirage | 11–13 | 0.01 | 9% | 17 Jun → | |
| nuke | 4–13 | -0.04 | 18% | 16 Jun → | |
| nuke | 11–13 | -0.04 | 10% | 16 Jun → | |
| nuke | 7–13 | -0.02 | 27% | 11 Jun → | |
| inferno | 13–7 | -0.00 | 8% | 8 Jun → | |
| nuke | 16–14 | -0.03 | 12% | 6 Jun → | |
| ancient | 13–11 | -0.06 | 27% | 6 Jun → | |
| anubis | 13–11 | -0.07 | 13% | 4 Jun → | |
| ancient | 5–13 | -0.03 | 4% | 4 Jun → | |
| ancient | 13–7 | -0.01 | 15% | 4 Jun → | |
| nuke | 14–16 | 0.02 | 16% | 3 Jun → | |
| anubis | 4–13 | -0.10 | 26% | 3 Jun → | |
| overpass | 6–13 | -0.05 | 14% | 2 Jun → | |
| nuke | 3–13 | -0.01 | 33% | 2 Jun → | |
| mirage | 13–9 | -0.01 | 13% | 1 Jun → | |
| mirage | 13–11 | -0.00 | 18% | 1 Jun → | |
| mirage | 13–6 | -0.06 | 9% | 31 May → | |
| nuke | 14–16 | -0.04 | 13% | 31 May → | |
| nuke | 13–11 | -0.04 | 21% | 30 May → | |
| anubis | 12–16 | -0.03 | 6% | 30 May → | |
| mirage | 13–0 | 0.01 | 6% | 30 May → | |
| ancient | 13–10 | -0.00 | 15% | 28 May → | |
| mirage | 14–16 | -0.06 | 8% | 27 May → | |
| anubis | 13–7 | 0.02 | 19% | 27 May → | |
| nuke | 13–11 | -0.03 | 14% | 27 May → | |
| anubis | 13–2 | 0.01 | 24% | 27 May → | |
| nuke | 13–11 | -0.03 | 16% | 26 May → | |
| anubis | 6–13 | 0.03 | 18% | 25 May → | |
| overpass | 13–11 | -0.01 | 17% | 25 May → |
Match data via Leetify.