Justin Hofmann — CS2 Stats
AT76561199087053271[U:1:1126787543]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=7,415), 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 10 median |
|---|---|---|
| Headshot rate | 54.5% | 51.7% |
| Shot accuracy | 15.0% | 13.8% |
| Kill/death ratio | 1.08 | 1.09 |
| Match win rate | 53.1% | 48.7% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerExcellent counter-strafing
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 91% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: lower utility contribution; lower positioning 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
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 50 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.
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 (×1.00 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 |
|---|---|---|---|---|---|
 dust2 | B | 26 | 14–12 | 54% | -0.01 |
 cache | C | 19 | 8–11 | 42% | 0.00 |
 ancient | B | 15 | 7–8 | 47% | 0.00 |
 anubis | C | 10 | 4–6 | 40% | 0.01 |
 mirage | B | 8 | 4–4 | 50% | 0.04 |
 inferno | C | 7 | 3–4 | 43% | 0.01 |
 vertigo | C | 5 | 2–3 | 40% | -0.00 |
| office | — | 4 | 2–2 | 50% | -0.01 |
 nuke | — | 3 | 1–2 | 33% | -0.05 |
 train | — | 3 | 2–1 | 67% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 10). 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 |
|---|---|---|---|---|
| Dust2 | 33 | 61% | 1.26 | 15.4 |
| Ancient | 31 | 48% | 1.11 | 14.9 |
| Anubis | 18 | 44% | 1.32 | 16.4 |
| Mirage | 17 | 29% | 1.01 | 13.2 |
| Inferno | 14 | 57% | 1.28 | 16.7 |
| Nuke | 13 | 62% | 1.00 | 14.3 |
| Cache | 8 | 62% | 1.23 | 16.1 |
| Vertigo | 1 | 100% | 1.14 | 16.0 |
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.
- 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 0.4573 — 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 32.8735% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–7 | -0.05 | 35% | 25 Aug → | |
| mirage | 13–8 | 0.17 | 25% | 21 Aug → | |
| dust2 | 13–4 | 0.00 | 44% | 21 Aug → | |
| inferno | 3–13 | -0.05 | 13% | 4 Aug → | |
| ancient | 9–13 | -0.04 | 28% | 30 Jul → | |
| vertigo | 13–10 | -0.02 | 14% | 30 Jul → | |
| vertigo | 12–12 | -0.03 | 30% | 30 Jul → | |
| inferno | 13–6 | 0.02 | 28% | 26 Jul → | |
| dust2 | 13–2 | 0.05 | 21% | 25 Jul → | |
| dust2 | 13–10 | 0.01 | 19% | 25 Jul → | |
| dust2 | 13–11 | -0.00 | 39% | 25 Jul → | |
| anubis | 11–13 | 0.06 | 23% | 22 Jul → | |
| anubis | 13–7 | 0.04 | 9% | 22 Jul → | |
| anubis | 6–13 | -0.05 | 16% | 22 Jul → | |
| office | 12–12 | -0.04 | 29% | 8 Jul → | |
| office | 13–8 | -0.02 | 33% | 8 Jul → | |
| dust2 | 2–13 | -0.01 | 12% | 4 Jul → | |
| ancient | 8–13 | 0.02 | 41% | 4 Jul → | |
| cache | 12–12 | 0.00 | 13% | 3 Jul → | |
| ancient | 11–13 | 0.03 | 37% | 3 Jul → | |
| ancient | 16–14 | 0.02 | 23% | 3 Jul → | |
| dust2 | 2–7 | -0.06 | 0% | 3 Jul → | |
| dust2 | 10–13 | -0.05 | 28% | 3 Jul → | |
| mirage | 13–0 | 0.00 | 100% | 29 Jun → | |
| dust2 | 10–13 | -0.04 | 14% | 29 Jun → | |
| nuke | 16–12 | -0.05 | 14% | 28 Jun → | |
| ancient | 13–4 | 0.02 | 20% | 28 Jun → | |
| dust2 | 13–4 | 0.02 | 22% | 28 Jun → | |
| dust2 | 13–6 | 0.08 | 25% | 28 Jun → | |
| inferno | 9–13 | 0.02 | 17% | 27 Jun → | |
| dust2 | 11–13 | -0.06 | 13% | 27 Jun → | |
| dust2 | 13–9 | 0.06 | 20% | 25 Jun → | |
| inferno | 13–5 | 0.13 | 23% | 25 Jun → | |
| nuke | 1–13 | -0.06 | 21% | 25 Jun → | |
| dust2 | 11–13 | 0.02 | 21% | 25 Jun → | |
| ancient | 13–11 | 0.01 | 23% | 25 Jun → | |
| dust2 | 16–13 | -0.03 | 24% | 23 Jun → | |
| dust2 | 16–13 | 0.08 | 17% | 23 Jun → | |
| mirage | 10–13 | 0.01 | 26% | 23 Jun → | |
| ancient | 4–13 | -0.08 | 26% | 17 Jun → | |
| nuke | 3–13 | -0.03 | 29% | 17 Jun → | |
| train | 13–11 | -0.03 | 16% | 17 Jun → | |
| train | 3–0 | 0.03 | 10% | 17 Jun → | |
| train | 9–13 | 0.09 | 24% | 17 Jun → | |
| dust2 | 13–4 | -0.03 | 19% | 17 Jun → | |
| ancient | 10–13 | -0.02 | 30% | 17 Jun → | |
| mirage | 4–13 | -0.00 | 13% | 14 Jun → | |
| cache | 11–13 | 0.00 | 20% | 13 Jun → | |
| ancient | 13–10 | -0.01 | 12% | 13 Jun → | |
| dust2 | 11–13 | 0.02 | 19% | 13 Jun → | |
| anubis | 11–13 | -0.03 | 6% | 13 Jun → | |
| dust2 | 4–13 | -0.04 | 26% | 12 Jun → | |
| mirage | 8–13 | 0.09 | 29% | 12 Jun → | |
| dust2 | 13–9 | -0.05 | 23% | 10 Jun → | |
| mirage | 13–7 | 0.06 | 36% | 10 Jun → | |
| anubis | 9–13 | 0.01 | 19% | 10 Jun → | |
| ancient | 13–8 | 0.09 | 23% | 8 Jun → | |
| dust2 | 10–13 | -0.06 | 18% | 8 Jun → | |
| cache | 13–4 | -0.06 | 29% | 8 Jun → | |
| dust2 | 13–4 | 0.03 | 28% | 7 Jun → | |
| anubis | 16–14 | -0.04 | 9% | 7 Jun → | |
| ancient | 3–13 | -0.02 | 10% | 7 Jun → | |
| vertigo | 6–13 | -0.04 | 20% | 4 Jun → | |
| vertigo | 13–10 | 0.11 | 25% | 4 Jun → | |
| vertigo | 3–13 | -0.04 | 23% | 4 Jun → | |
| dust2 | 13–8 | 0.01 | 26% | 31 May → | |
| cache | 7–13 | 0.04 | 22% | 31 May → | |
| cache | 13–0 | 0.08 | 39% | 30 May → | |
| cache | 13–4 | -0.01 | 24% | 30 May → | |
| cache | 13–9 | 0.04 | 17% | 30 May → | |
| cache | 13–6 | 0.00 | 27% | 30 May → | |
| cache | 12–12 | -0.02 | 17% | 30 May → | |
| anubis | 13–4 | 0.07 | 27% | 30 May → | |
| anubis | 12–12 | -0.02 | 16% | 28 May → | |
| anubis | 13–6 | 0.08 | 26% | 28 May → | |
| cache | 12–12 | -0.01 | 26% | 26 May → | |
| ancient | 13–6 | 0.01 | 17% | 24 May → | |
| dust2 | 10–13 | -0.04 | 18% | 24 May → | |
| ancient | 16–13 | 0.03 | 18% | 23 May → | |
| dust2 | 13–4 | 0.00 | 24% | 23 May → | |
| mirage | 5–13 | -0.03 | 6% | 23 May → | |
| cache | 4–13 | -0.05 | 19% | 22 May → | |
| cache | 12–12 | 0.00 | 19% | 22 May → | |
| inferno | 7–13 | -0.04 | 28% | 22 May → | |
| inferno | 10–13 | -0.00 | 28% | 21 May → | |
| mirage | 13–9 | 0.03 | 14% | 17 May → | |
| cache | 6–13 | 0.03 | 21% | 17 May → | |
| cache | 13–10 | 0.06 | 27% | 17 May → | |
| dust2 | 3–13 | -0.05 | 27% | 17 May → | |
| dust2 | 10–13 | -0.04 | 25% | 16 May → | |
| cache | 13–6 | -0.04 | 17% | 16 May → | |
| anubis | 7–13 | 0.02 | 18% | 16 May → | |
| ancient | 11–13 | -0.00 | 16% | 16 May → | |
| ancient | 8–13 | -0.03 | 29% | 16 May → | |
| office | 9–13 | 0.03 | 14% | 13 May → | |
| office | 13–9 | 0.01 | 32% | 13 May → | |
| cache | 8–13 | -0.01 | 23% | 12 May → | |
| cache | 0–6 | 0.00 | 13% | 12 May → | |
| cache | 10–13 | -0.04 | 22% | 10 May → | |
| cache | 13–10 | 0.05 | 20% | 10 May → |
Match data via Leetify.
