Graggor — CS2 Stats
UA76561198083978431[U:1:123712703]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=9,423), 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 | 42.5% | 47.1% | 49.8% | 7.3% short |
| Shot accuracy | 15.8% | 12.8% | 13.4% | above |
| Kill/death ratio | 1.30 | 1.08 | 1.12 | above |
| Match win rate | 47.2% | 46.7% | 48.6% | 1.4% short |
This profile matches the typical Red band player on 2 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: +0pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 device 93% playstyle similarity
Most alike: opening-duel success, 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
T-side openings. Opening success drops from 54% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 568ms 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 6.3/10 (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 |
|---|---|---|---|---|---|
 inferno | B | 30 | 14–16 | 47% | 0.04 |
 ancient | A | 25 | 15–10 | 60% | 0.06 |
 nuke | S | 16 | 12–4 | 75% | 0.04 |
 anubis | D | 12 | 3–9 | 25% | 0.02 |
 cache | D | 7 | 2–5 | 29% | 0.01 |
 overpass | — | 3 | 1–2 | 33% | -0.00 |
 mirage | — | 2 | 0–2 | 0% | 0.06 |
| debris | — | 1 | 0–1 | 0% | -0.04 |
 dust2 | — | 1 | 1–0 | 100% | 0.07 |
| italy | — | 1 | 1–0 | 100% | 0.10 |
 vertigo | — | 1 | 0–1 | 0% | 0.00 |
 train | — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Anubis 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 21 | 57% | 1.49 | 18.2 |
| Inferno | 14 | 64% | 1.42 | 18.1 |
| Nuke | 13 | 62% | 1.63 | 19.3 |
| Mirage | 9 | 67% | 1.51 | 17.0 |
| Vertigo | 8 | 75% | 1.57 | 19.4 |
| Overpass | 8 | 25% | 1.09 | 15.1 |
| Anubis | 6 | 50% | 1.49 | 16.8 |
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.
- 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 39.0608% — 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.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–11 | -0.01 | 16% | 28 Aug → | |
| inferno | 8–13 | 0.05 | 24% | 28 Aug → | |
| inferno | 13–4 | 0.10 | 21% | 27 Aug → | |
| inferno | 9–13 | 0.07 | 19% | 27 Aug → | |
| ancient | 9–13 | 0.06 | 16% | 27 Aug → | |
| debris | 7–9 | -0.04 | 12% | 27 Aug → | |
| inferno | 14–16 | 0.02 | 14% | 24 Aug → | |
| ancient | 13–6 | 0.11 | 13% | 19 Aug → | |
| nuke | 13–8 | 0.03 | 28% | 19 Aug → | |
| cache | 13–9 | 0.07 | 17% | 19 Aug → | |
| anubis | 13–3 | 0.03 | 17% | 13 Aug → | |
| ancient | 8–13 | -0.00 | 13% | 13 Aug → | |
| mirage | 10–13 | 0.06 | 12% | 11 Aug → | |
| inferno | 13–11 | 0.03 | 0% | 11 Aug → | |
| nuke | 13–8 | 0.09 | 20% | 11 Aug → | |
| anubis | 2–13 | -0.01 | 12% | 7 Aug → | |
| ancient | 13–10 | 0.02 | 20% | 7 Aug → | |
| inferno | 4–13 | -0.05 | 24% | 7 Aug → | |
| inferno | 13–1 | 0.12 | 25% | 7 Aug → | |
| cache | 7–13 | 0.03 | 16% | 1 Aug → | |
| dust2 | 13–9 | 0.07 | 14% | 1 Aug → | |
| inferno | 11–13 | -0.02 | 16% | 1 Aug → | |
| inferno | 11–13 | 0.06 | 12% | 28 Jul → | |
| ancient | 13–7 | 0.05 | 17% | 27 Jul → | |
| inferno | 10–13 | 0.02 | 18% | 27 Jul → | |
| mirage | 8–13 | 0.06 | 18% | 12 Jul → | |
| ancient | 13–2 | 0.15 | 22% | 12 Jul → | |
| inferno | 13–10 | 0.03 | 22% | 12 Jul → | |
| ancient | 13–11 | 0.12 | 14% | 24 Jun → | |
| nuke | 13–6 | 0.08 | 21% | 24 Jun → | |
| anubis | 5–13 | -0.00 | 13% | 24 Jun → | |
| inferno | 8–13 | 0.03 | 15% | 14 Jun → | |
| overpass | 13–7 | 0.02 | 30% | 14 Jun → | |
| inferno | 11–13 | 0.03 | 13% | 11 Jun → | |
| ancient | 13–8 | 0.11 | 15% | 11 Jun → | |
| inferno | 6–13 | 0.00 | 18% | 2 Jun → | |
| inferno | 13–6 | -0.00 | 10% | 1 Jun → | |
| ancient | 12–12 | -0.04 | 6% | 28 May → | |
| ancient | 5–13 | 0.04 | 15% | 27 May → | |
| ancient | 13–7 | 0.05 | 6% | 27 May → | |
| cache | 8–13 | -0.04 | 16% | 21 May → | |
| italy | 13–1 | 0.10 | 26% | 20 May → | |
| nuke | 13–16 | 0.03 | 12% | 17 May → | |
| overpass | 3–13 | 0.02 | 19% | 17 May → | |
| vertigo | 0–4 | 0.00 | 50% | 7 May → | |
| cache | 5–13 | -0.02 | 17% | 1 May → | |
| cache | 13–7 | 0.05 | 19% | 1 May → | |
| cache | 2–13 | -0.01 | 16% | 29 Apr → | |
| cache | 4–13 | -0.02 | 14% | 29 Apr → | |
| ancient | 13–8 | 0.07 | 22% | 28 Apr → | |
| overpass | 5–13 | -0.04 | 24% | 27 Apr → | |
| inferno | 11–13 | 0.02 | 12% | 15 Apr → | |
| nuke | 13–4 | 0.05 | 13% | 10 Apr → | |
| inferno | 11–13 | 0.04 | 16% | 10 Apr → | |
| ancient | 9–13 | 0.03 | 16% | 30 Mar → | |
| nuke | 16–14 | 0.01 | 8% | 22 Mar → | |
| ancient | 13–10 | 0.02 | 21% | 18 Mar → | |
| nuke | 4–13 | 0.01 | 17% | 18 Mar → | |
| ancient | 13–11 | 0.09 | 14% | 13 Mar → | |
| nuke | 13–11 | 0.02 | 14% | 13 Mar → | |
| anubis | 10–13 | 0.02 | 12% | 13 Mar → | |
| anubis | 13–11 | 0.01 | 13% | 5 Mar → | |
| ancient | 10–13 | 0.11 | 21% | 4 Mar → | |
| inferno | 15–15 | 0.07 | 16% | 4 Mar → | |
| anubis | 8–13 | 0.04 | 24% | 3 Mar → | |
| ancient | 9–13 | 0.04 | 14% | 3 Mar → | |
| inferno | 13–9 | 0.13 | 14% | 26 Feb → | |
| nuke | 2–13 | 0.04 | 14% | 22 Feb → | |
| anubis | 7–13 | 0.01 | 10% | 12 Feb → | |
| ancient | 13–8 | 0.07 | 10% | 2 Feb → | |
| nuke | 16–12 | 0.04 | 18% | 2 Feb → | |
| inferno | 13–11 | 0.09 | 25% | 2 Feb → | |
| anubis | 6–13 | -0.05 | 18% | 31 Jan → | |
| inferno | 10–8 | 0.09 | 19% | 31 Jan → | |
| inferno | 13–9 | 0.06 | 13% | 30 Jan → | |
| nuke | 13–5 | -0.01 | 28% | 30 Jan → | |
| anubis | 2–13 | 0.04 | 20% | 28 Jan → | |
| nuke | 13–5 | 0.14 | 21% | 28 Jan → | |
| inferno | 16–14 | 0.06 | 8% | 28 Jan → | |
| anubis | 13–10 | 0.08 | 16% | 28 Jan → | |
| anubis | 9–13 | 0.11 | 21% | 27 Jan → | |
| ancient | 7–13 | 0.05 | 15% | 27 Jan → | |
| inferno | 13–5 | 0.08 | 22% | 25 Jan → | |
| nuke | 13–8 | 0.03 | 4% | 24 Jan → | |
| ancient | 13–1 | 0.10 | 14% | 24 Jan → | |
| anubis | 4–13 | 0.01 | 13% | 23 Jan → | |
| inferno | 13–4 | 0.11 | 18% | 22 Jan → | |
| inferno | 8–13 | -0.00 | 17% | 22 Jan → | |
| inferno | 13–8 | 0.02 | 16% | 17 Jan → | |
| ancient | 10–13 | 0.02 | 19% | 17 Jan → | |
| ancient | 16–12 | 0.04 | 10% | 16 Jan → | |
| inferno | 5–13 | -0.02 | 12% | 9 Jan → | |
| nuke | 6–13 | 0.07 | 24% | 9 Jan → | |
| ancient | 13–6 | 0.12 | 15% | 9 Jan → | |
| nuke | 13–9 | 0.07 | 14% | 4 Jan → | |
| ancient | 2–13 | -0.01 | 10% | 4 Jan → | |
| train | 13–11 | 0.06 | 17% | 3 Jan → | |
| inferno | 7–13 | -0.01 | 28% | 2 Jan → | |
| ancient | 13–6 | 0.03 | 10% | 2 Jan → | |
| inferno | 13–10 | 0.02 | 8% | 31 Dec → |
Match data via Leetify.
