dream3r — CS2 Stats
76561198000490109[U:1:40224381]
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 | 25.4% | 41.4% | 44.2% | 18.8% short |
| Shot accuracy | 7.2% | 9.0% | 11.6% | 4.4% short |
| Kill/death ratio | 1.08 | 0.97 | 1.03 | above |
| Match win rate | 43.8% | 43.7% | 45.2% | 1.4% short |
This profile matches the typical Purple band player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. 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: +40pp win rate · +0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 91% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 67% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 601ms 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 6.6/10 (Solid), 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 |
|---|---|---|---|---|---|
| office | A | 29 | 17–12 | 59% | 0.07 |
| C | 16 | 6–10 | 38% | 0.03 | |
| B | 11 | 5–6 | 45% | 0.01 | |
| B | 8 | 4–4 | 50% | 0.02 | |
| B | 8 | 4–4 | 50% | 0.01 | |
| D | 6 | 0–6 | 0% | 0.03 | |
| S | 6 | 4–2 | 67% | -0.04 | |
| C | 5 | 2–3 | 40% | 0.06 | |
| C | 5 | 2–3 | 40% | -0.01 | |
| boulder | — | 2 | 1–1 | 50% | 0.04 |
| — | 2 | 0–2 | 0% | -0.03 | |
| — | 2 | 1–1 | 50% | -0.03 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Vertigo 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 10.8302% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 9–13 | 0.13 | 5% | 30 Aug → | |
| 11–13 | 0.11 | 16% | 30 Aug → | ||
| boulder | 13–9 | 0.07 | 14% | 30 Aug → | |
| office | 13–8 | 0.10 | 12% | 30 Aug → | |
| office | 13–8 | -0.02 | 16% | 29 Aug → | |
| 13–7 | 0.10 | 11% | 29 Aug → | ||
| 13–3 | 0.03 | 11% | 29 Aug → | ||
| 10–8 | 0.02 | 16% | 29 Aug → | ||
| 13–8 | 0.14 | 17% | 29 Aug → | ||
| boulder | 10–13 | 0.01 | 6% | 29 Aug → | |
| 7–13 | 0.15 | 15% | 28 Aug → | ||
| 9–13 | 0.06 | 13% | 28 Aug → | ||
| 6–13 | 0.03 | 0% | 27 Aug → | ||
| 10–13 | -0.02 | 8% | 27 Aug → | ||
| office | 13–10 | 0.03 | 16% | 25 Aug → | |
| office | 8–13 | 0.03 | 13% | 25 Aug → | |
| office | 13–10 | 0.11 | 11% | 25 Aug → | |
| office | 13–10 | 0.02 | 11% | 24 Aug → | |
| office | 11–13 | 0.07 | 11% | 23 Aug → | |
| 11–13 | 0.18 | 16% | 23 Aug → | ||
| office | 13–10 | 0.08 | 12% | 23 Aug → | |
| office | 8–13 | 0.07 | 3% | 23 Aug → | |
| office | 9–13 | 0.05 | 4% | 23 Aug → | |
| 13–4 | 0.03 | 9% | 23 Aug → | ||
| office | 12–12 | 0.04 | 8% | 22 Aug → | |
| 13–9 | 0.01 | 7% | 21 Aug → | ||
| office | 12–12 | 0.03 | 10% | 21 Aug → | |
| office | 13–9 | 0.12 | 17% | 21 Aug → | |
| office | 13–8 | 0.14 | 9% | 21 Aug → | |
| office | 13–2 | 0.02 | 6% | 21 Aug → | |
| office | 8–13 | 0.04 | 8% | 21 Aug → | |
| office | 13–6 | 0.12 | 20% | 19 Aug → | |
| office | 13–5 | 0.06 | 17% | 19 Aug → | |
| 12–12 | 0.05 | 10% | 17 Aug → | ||
| office | 13–11 | 0.20 | 6% | 17 Aug → | |
| office | 5–13 | 0.08 | 9% | 17 Aug → | |
| office | 10–13 | 0.07 | 12% | 16 Aug → | |
| office | 12–12 | 0.06 | 10% | 14 Aug → | |
| 13–5 | 0.07 | 9% | 14 Aug → | ||
| 9–13 | 0.05 | 10% | 13 Aug → | ||
| 12–12 | -0.02 | 7% | 12 Aug → | ||
| 5–13 | 0.00 | 9% | 12 Aug → | ||
| 13–4 | 0.11 | 18% | 12 Aug → | ||
| 2–13 | 0.04 | 14% | 12 Aug → | ||
| 0–13 | -0.00 | 0% | 11 Aug → | ||
| 12–12 | -0.03 | 8% | 11 Aug → | ||
| 13–0 | 0.06 | 11% | 11 Aug → | ||
| office | 13–2 | 0.05 | 15% | 5 Aug → | |
| office | 13–8 | 0.10 | 10% | 5 Aug → | |
| 10–13 | 0.03 | 11% | 30 Jul → | ||
| 8–13 | 0.00 | 8% | 30 Jul → | ||
| 4–13 | 0.04 | 17% | 25 Jul → | ||
| office | 4–13 | -0.05 | 9% | 24 Jul → | |
| 6–13 | 0.03 | 16% | 24 Jul → | ||
| 13–9 | 0.06 | 7% | 23 Jul → | ||
| office | 13–11 | 0.16 | 6% | 23 Jul → | |
| 13–7 | -0.04 | 18% | 23 Jul → | ||
| 13–11 | 0.05 | 14% | 20 Jul → | ||
| 10–13 | 0.02 | 0% | 20 Jul → | ||
| 13–8 | 0.08 | 14% | 20 Jul → | ||
| 13–8 | -0.02 | 9% | 20 Jul → | ||
| 13–11 | 0.04 | 9% | 19 Jul → | ||
| 13–1 | 0.06 | 14% | 17 Jul → | ||
| 12–12 | 0.09 | 19% | 17 Jul → | ||
| 9–13 | -0.04 | 11% | 16 Jul → | ||
| 1–13 | -0.01 | 8% | 16 Jul → | ||
| 11–13 | -0.05 | 8% | 16 Jul → | ||
| 13–10 | 0.01 | 8% | 15 Jul → | ||
| office | 13–11 | 0.07 | 12% | 11 Jul → | |
| office | 13–10 | 0.01 | 9% | 11 Jul → | |
| 13–2 | 0.11 | 13% | 3 Jul → | ||
| 6–13 | 0.01 | 33% | 2 Jul → | ||
| 12–12 | 0.09 | 11% | 21 Jun → | ||
| 12–16 | 0.05 | 15% | 16 Jun → | ||
| 6–13 | -0.07 | 12% | 15 Jun → | ||
| 3–13 | -0.04 | 25% | 6 Jun → | ||
| 11–13 | -0.02 | 21% | 6 Jun → | ||
| 13–6 | -0.10 | 0% | 6 Jun → | ||
| 13–8 | -0.01 | 17% | 5 Jun → | ||
| 1–13 | 0.03 | 5% | 5 Jun → | ||
| 7–13 | 0.02 | 19% | 4 Jun → | ||
| 10–13 | -0.08 | 6% | 3 Jun → | ||
| 3–13 | -0.05 | 14% | 3 Jun → | ||
| 10–13 | 0.01 | 11% | 3 Jun → | ||
| 13–10 | -0.02 | 4% | 30 May → | ||
| 1–13 | -0.05 | 7% | 28 May → | ||
| 13–9 | 0.03 | 9% | 28 May → | ||
| 6–13 | -0.05 | 9% | 27 May → | ||
| 3–13 | -0.04 | 7% | 27 May → | ||
| 13–5 | -0.02 | 14% | 25 May → | ||
| 13–10 | -0.02 | 8% | 25 May → | ||
| 5–13 | -0.02 | 9% | 24 May → | ||
| 13–11 | -0.04 | 10% | 24 May → | ||
| 13–8 | 0.00 | 17% | 23 May → | ||
| 16–12 | -0.04 | 8% | 22 May → | ||
| 15–15 | 0.02 | 10% | 22 May → | ||
| 1–13 | -0.11 | 5% | 22 May → | ||
| 3–13 | -0.11 | 0% | 22 May → | ||
| 5–13 | -0.12 | 11% | 22 May → | ||
| 13–7 | 0.08 | 8% | 21 May → |
Match data via Leetify.