Benjodie — CS2 Stats
76561198074762639[U:1:114496911]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 47.3% | 44.1% | 47.2% | meets |
| Shot accuracy | 9.6% | 11.4% | 12.7% | 3.1% short |
| Kill/death ratio | 1.04 | 1.03 | 1.09 | 0.05 short |
| Match win rate | 44.7% | 45.2% | 46.6% | 1.9% short |
This profile matches the typical Pink band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink 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: -10pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 92% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
Reaction time. 592ms 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 6.4/10 (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 |
|---|---|---|---|---|---|
 cache | C | 19 | 7–12 | 37% | 0.01 |
 mirage | B | 17 | 8–9 | 47% | 0.01 |
 dust2 | A | 17 | 10–7 | 59% | 0.01 |
 nuke | S | 15 | 11–4 | 73% | 0.02 |
 inferno | S | 12 | 10–2 | 83% | 0.03 |
 anubis | B | 8 | 4–4 | 50% | -0.00 |
| office | B | 6 | 3–3 | 50% | 0.02 |
 ancient | — | 3 | 2–1 | 67% | 0.03 |
 overpass | — | 3 | 1–2 | 33% | -0.01 |
Across the last 100 tracked matches.
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.
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 35.9404% — 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.
37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 9–13 | -0.04 | 7% | 22 Aug → | |
| office | 13–4 | 0.11 | 21% | 21 Aug → | |
| mirage | 13–16 | -0.03 | 8% | 20 Aug → | |
| office | 13–11 | 0.08 | 15% | 17 Aug → | |
| cache | 6–13 | 0.03 | 13% | 16 Aug → | |
| dust2 | 11–13 | -0.02 | 12% | 16 Aug → | |
| inferno | 7–2 | -0.02 | 0% | 15 Aug → | |
| nuke | 9–13 | -0.03 | 21% | 15 Aug → | |
| mirage | 13–3 | 0.01 | 12% | 15 Aug → | |
| mirage | 13–9 | 0.02 | 17% | 14 Aug → | |
| dust2 | 13–11 | -0.02 | 22% | 12 Aug → | |
| cache | 13–5 | 0.07 | 18% | 11 Aug → | |
| office | 1–5 | -0.05 | 0% | 11 Aug → | |
| anubis | 10–13 | 0.03 | 12% | 5 Aug → | |
| nuke | 16–14 | 0.10 | 15% | 1 Aug → | |
| mirage | 4–13 | -0.03 | 32% | 1 Aug → | |
| inferno | 13–5 | 0.02 | 15% | 29 Jul → | |
| anubis | 13–8 | 0.02 | 8% | 23 Jul → | |
| anubis | 1–13 | -0.08 | 27% | 18 Jul → | |
| dust2 | 13–11 | 0.03 | 17% | 17 Jul → | |
| inferno | 13–9 | 0.00 | 16% | 16 Jul → | |
| cache | 15–15 | -0.01 | 12% | 15 Jul → | |
| dust2 | 13–8 | 0.04 | 21% | 13 Jul → | |
| ancient | 13–16 | -0.05 | 12% | 13 Jul → | |
| dust2 | 13–3 | -0.04 | 14% | 13 Jul → | |
| dust2 | 13–8 | 0.02 | 25% | 13 Jul → | |
| nuke | 2–13 | 0.00 | 31% | 13 Jul → | |
| cache | 13–11 | 0.03 | 23% | 8 Jul → | |
| office | 5–13 | -0.00 | 7% | 7 Jul → | |
| inferno | 13–16 | -0.00 | 8% | 6 Jul → | |
| anubis | 13–9 | -0.05 | 8% | 6 Jul → | |
| overpass | 1–13 | -0.06 | 26% | 5 Jul → | |
| inferno | 7–13 | 0.02 | 24% | 1 Jul → | |
| office | 10–13 | 0.02 | 22% | 30 Jun → | |
| nuke | 13–6 | 0.06 | 21% | 30 Jun → | |
| cache | 6–13 | -0.07 | 21% | 29 Jun → | |
| mirage | 8–13 | 0.04 | 18% | 24 Jun → | |
| cache | 11–13 | 0.09 | 27% | 23 Jun → | |
| office | 8–9 | -0.03 | 14% | 23 Jun → | |
| nuke | 13–8 | -0.01 | 19% | 20 Jun → | |
| cache | 11–13 | -0.00 | 21% | 20 Jun → | |
| inferno | 13–8 | 0.02 | 21% | 13 Jun → | |
| mirage | 13–4 | 0.05 | 17% | 13 Jun → | |
| dust2 | 16–13 | -0.01 | 21% | 9 Jun → | |
| mirage | 10–13 | 0.02 | 23% | 9 Jun → | |
| mirage | 13–7 | 0.02 | 18% | 8 Jun → | |
| nuke | 10–13 | 0.03 | 22% | 8 Jun → | |
| mirage | 13–6 | 0.00 | 16% | 8 Jun → | |
| cache | 2–13 | 0.12 | 13% | 31 May → | |
| cache | 11–13 | -0.01 | 10% | 28 May → | |
| dust2 | 8–13 | -0.04 | 17% | 28 May → | |
| cache | 13–8 | 0.01 | 23% | 28 May → | |
| mirage | 7–13 | -0.04 | 30% | 27 May → | |
| nuke | 13–7 | -0.04 | 13% | 27 May → | |
| ancient | 13–5 | 0.07 | 15% | 26 May → | |
| dust2 | 13–5 | -0.01 | 20% | 26 May → | |
| anubis | 15–15 | 0.04 | 25% | 20 May → | |
| cache | 12–12 | -0.02 | 20% | 20 May → | |
| cache | 9–13 | 0.01 | 13% | 20 May → | |
| dust2 | 13–11 | 0.05 | 35% | 19 May → | |
| mirage | 2–13 | -0.02 | 9% | 19 May → | |
| cache | 4–13 | -0.01 | 15% | 18 May → | |
| dust2 | 1–13 | -0.03 | 13% | 18 May → | |
| nuke | 13–1 | -0.06 | 13% | 17 May → | |
| cache | 12–12 | -0.03 | 28% | 17 May → | |
| cache | 13–4 | 0.03 | 15% | 17 May → | |
| dust2 | 16–14 | 0.04 | 18% | 16 May → | |
| nuke | 13–8 | 0.06 | 32% | 16 May → | |
| cache | 13–6 | 0.04 | 15% | 8 May → | |
| inferno | 16–14 | 0.01 | 13% | 7 May → | |
| dust2 | 13–9 | 0.06 | 23% | 7 May → | |
| cache | 13–10 | -0.01 | 25% | 1 May → | |
| cache | 13–6 | -0.03 | 41% | 30 Apr → | |
| overpass | 13–11 | -0.01 | 18% | 28 Apr → | |
| nuke | 11–2 | 0.06 | 13% | 28 Apr → | |
| mirage | 7–13 | 0.03 | 13% | 28 Apr → | |
| dust2 | 4–13 | 0.00 | 23% | 28 Apr → | |
| mirage | 13–11 | 0.02 | 23% | 22 Apr → | |
| nuke | 13–11 | 0.00 | 17% | 20 Apr → | |
| dust2 | 10–13 | -0.02 | 16% | 20 Apr → | |
| mirage | 13–6 | 0.11 | 16% | 17 Apr → | |
| anubis | 13–6 | 0.03 | 11% | 10 Apr → | |
| inferno | 13–2 | 0.15 | 13% | 10 Apr → | |
| ancient | 13–7 | 0.08 | 22% | 8 Apr → | |
| overpass | 11–13 | 0.03 | 21% | 8 Apr → | |
| nuke | 13–8 | 0.06 | 16% | 7 Apr → | |
| inferno | 13–9 | -0.02 | 20% | 7 Apr → | |
| anubis | 11–13 | 0.00 | 12% | 6 Apr → | |
| dust2 | 7–13 | 0.03 | 23% | 1 Apr → | |
| inferno | 13–10 | 0.07 | 18% | 1 Apr → | |
| nuke | 16–12 | 0.02 | 21% | 1 Apr → | |
| anubis | 13–4 | -0.02 | 9% | 31 Mar → | |
| mirage | 13–8 | -0.01 | 14% | 29 Mar → | |
| nuke | 13–9 | 0.05 | 20% | 29 Mar → | |
| mirage | 2–13 | 0.01 | 8% | 29 Mar → | |
| mirage | 8–13 | 0.00 | 15% | 28 Mar → | |
| nuke | 5–13 | 0.02 | 10% | 28 Mar → | |
| inferno | 13–9 | 0.08 | 24% | 28 Mar → | |
| inferno | 13–7 | 0.03 | 25% | 27 Mar → | |
| dust2 | 10–13 | 0.02 | 17% | 27 Mar → |
Match data via Leetify.
