Optimus Primal — CS2 Stats
76561198943923192[U:1:983657464]
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=2,468), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 41.9% | 41.4% | 44.2% | 2.3% short |
| Shot accuracy | 5.5% | 9.0% | 11.6% | 6.1% short |
| Kill/death ratio | 0.85 | 0.97 | 1.03 | 0.18 short |
| Match win rate | 46.3% | 43.7% | 45.2% | above |
This profile matches the typical Purple band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Purple 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 · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerLimited 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 ropz 84% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 52% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
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 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | C | 25 | 9–16 | 36% | -0.03 |
 cache | D | 22 | 7–15 | 32% | -0.02 |
 nuke | A | 12 | 7–5 | 58% | -0.01 |
 inferno | D | 10 | 2–8 | 20% | -0.02 |
 ancient | D | 8 | 2–6 | 25% | -0.03 |
 mirage | S | 7 | 5–2 | 71% | -0.02 |
 anubis | C | 5 | 2–3 | 40% | -0.04 |
 overpass | — | 3 | 1–2 | 33% | -0.05 |
 train | — | 3 | 2–1 | 67% | -0.03 |
| office | — | 2 | 1–1 | 50% | -0.08 |
 vertigo | — | 1 | 0–1 | 0% | -0.03 |
| italy | — | 1 | 0–1 | 0% | -0.02 |
| warden | — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (20% over 10). 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.
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 14.513% — 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 0.2691 — 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 33.2093% — 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.
20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–9 | 0.02 | 15% | 29 Aug → | |
| inferno | 9–13 | -0.02 | 11% | 29 Aug → | |
| anubis | 13–10 | -0.01 | 13% | 28 Aug → | |
| ancient | 7–13 | -0.05 | 3% | 28 Aug → | |
| cache | 11–13 | 0.02 | 6% | 28 Aug → | |
| dust2 | 7–13 | -0.02 | 14% | 27 Aug → | |
| inferno | 3–13 | -0.01 | 21% | 27 Aug → | |
| dust2 | 16–14 | -0.02 | 13% | 26 Aug → | |
| inferno | 13–6 | 0.01 | 22% | 25 Aug → | |
| mirage | 5–13 | -0.08 | 14% | 23 Aug → | |
| nuke | 11–13 | -0.08 | 17% | 23 Aug → | |
| dust2 | 12–12 | -0.05 | 35% | 20 Aug → | |
| dust2 | 4–13 | -0.08 | 16% | 19 Aug → | |
| cache | 4–13 | -0.09 | 15% | 19 Aug → | |
| dust2 | 13–11 | -0.05 | 4% | 18 Aug → | |
| cache | 13–7 | 0.03 | 10% | 18 Aug → | |
| mirage | 13–9 | -0.04 | 24% | 18 Aug → | |
| cache | 7–13 | -0.07 | 8% | 17 Aug → | |
| nuke | 13–9 | -0.02 | 27% | 17 Aug → | |
| mirage | 13–9 | 0.03 | 15% | 16 Aug → | |
| anubis | 15–15 | -0.03 | 13% | 15 Aug → | |
| dust2 | 5–13 | -0.08 | 24% | 15 Aug → | |
| ancient | 13–10 | 0.00 | 18% | 15 Aug → | |
| mirage | 10–13 | -0.04 | 9% | 15 Aug → | |
| overpass | 12–12 | -0.04 | 16% | 15 Aug → | |
| nuke | 13–8 | 0.05 | 20% | 14 Aug → | |
| cache | 13–7 | -0.08 | 7% | 14 Aug → | |
| dust2 | 10–13 | -0.05 | 11% | 12 Aug → | |
| cache | 13–10 | 0.01 | 13% | 9 Aug → | |
| inferno | 15–15 | -0.02 | 7% | 9 Aug → | |
| nuke | 13–9 | 0.08 | 23% | 8 Aug → | |
| dust2 | 16–14 | -0.03 | 18% | 8 Aug → | |
| cache | 13–10 | -0.01 | 13% | 5 Aug → | |
| dust2 | 10–13 | -0.06 | 6% | 5 Aug → | |
| dust2 | 5–13 | -0.03 | 10% | 5 Aug → | |
| cache | 15–15 | 0.00 | 19% | 3 Aug → | |
| nuke | 13–6 | 0.02 | 18% | 2 Aug → | |
| cache | 1–13 | -0.11 | 20% | 2 Aug → | |
| cache | 13–6 | 0.01 | 10% | 1 Aug → | |
| anubis | 9–13 | -0.01 | 9% | 1 Aug → | |
| cache | 11–13 | 0.03 | 8% | 1 Aug → | |
| nuke | 10–13 | -0.06 | 14% | 1 Aug → | |
| ancient | 5–13 | -0.10 | 3% | 29 Jul → | |
| mirage | 13–7 | 0.02 | 19% | 29 Jul → | |
| dust2 | 14–16 | -0.08 | 11% | 27 Jul → | |
| cache | 13–11 | -0.02 | 23% | 26 Jul → | |
| nuke | 7–13 | 0.05 | 21% | 26 Jul → | |
| cache | 14–16 | -0.02 | 6% | 25 Jul → | |
| dust2 | 16–14 | 0.00 | 9% | 22 Jul → | |
| dust2 | 13–6 | 0.01 | 16% | 19 Jul → | |
| cache | 7–13 | -0.07 | 5% | 18 Jul → | |
| dust2 | 9–13 | -0.11 | 36% | 17 Jul → | |
| cache | 13–8 | 0.01 | 11% | 17 Jul → | |
| inferno | 14–16 | -0.03 | 10% | 6 Jul → | |
| dust2 | 14–16 | -0.01 | 4% | 6 Jul → | |
| nuke | 10–13 | -0.04 | 14% | 5 Jul → | |
| ancient | 4–13 | 0.02 | 10% | 5 Jul → | |
| nuke | 13–8 | -0.05 | 15% | 5 Jul → | |
| dust2 | 13–8 | -0.08 | 13% | 5 Jul → | |
| vertigo | 12–12 | -0.03 | 3% | 5 Jul → | |
| italy | 4–13 | -0.02 | 7% | 5 Jul → | |
| overpass | 13–10 | -0.05 | 4% | 5 Jul → | |
| dust2 | 13–5 | -0.02 | 14% | 5 Jul → | |
| ancient | 8–13 | 0.03 | 20% | 3 Jul → | |
| cache | 7–13 | 0.04 | 34% | 3 Jul → | |
| cache | 9–13 | -0.04 | 16% | 2 Jul → | |
| cache | 7–13 | -0.03 | 14% | 2 Jul → | |
| inferno | 4–13 | -0.01 | 10% | 30 Jun → | |
| warden | 13–5 | 0.03 | 12% | 30 Jun → | |
| train | 12–12 | -0.02 | 24% | 30 Jun → | |
| cache | 12–12 | 0.03 | 23% | 30 Jun → | |
| overpass | 8–13 | -0.05 | 19% | 28 Jun → | |
| inferno | 13–9 | 0.01 | 29% | 27 Jun → | |
| cache | 4–13 | 0.03 | 17% | 27 Jun → | |
| mirage | 13–9 | 0.02 | 13% | 27 Jun → | |
| dust2 | 8–13 | -0.05 | 38% | 27 Jun → | |
| nuke | 11–13 | -0.00 | 17% | 22 Jun → | |
| dust2 | 13–9 | 0.09 | 26% | 22 Jun → | |
| inferno | 11–13 | -0.02 | 17% | 20 Jun → | |
| dust2 | 11–13 | -0.00 | 15% | 20 Jun → | |
| ancient | 13–10 | -0.02 | 11% | 20 Jun → | |
| dust2 | 10–13 | -0.06 | 26% | 20 Jun → | |
| dust2 | 6–13 | -0.01 | 14% | 18 Jun → | |
| inferno | 8–13 | -0.03 | 26% | 18 Jun → | |
| cache | 7–13 | -0.05 | 29% | 18 Jun → | |
| mirage | 13–7 | -0.03 | 14% | 13 Jun → | |
| train | 13–6 | -0.02 | 24% | 13 Jun → | |
| ancient | 3–13 | -0.04 | 12% | 12 Jun → | |
| dust2 | 5–13 | -0.05 | 9% | 12 Jun → | |
| train | 13–9 | -0.06 | 31% | 9 Jun → | |
| anubis | 13–7 | -0.09 | 11% | 7 Jun → | |
| nuke | 13–8 | -0.03 | 18% | 7 Jun → | |
| office | 11–13 | -0.08 | 21% | 5 Jun → | |
| anubis | 2–13 | -0.05 | 0% | 5 Jun → | |
| office | 13–10 | -0.08 | 24% | 1 Jun → | |
| dust2 | 7–13 | 0.03 | 13% | 29 May → | |
| ancient | 11–13 | -0.06 | 6% | 29 May → | |
| dust2 | 13–11 | 0.01 | 15% | 23 May → | |
| inferno | 10–13 | -0.06 | 14% | 23 May → | |
| cache | 7–13 | -0.05 | 14% | 23 May → |
Match data via Leetify.