BR8D7 — CS2 Stats
76561198668183642[U:1:707917914]Steam profile ↗✓ No bans
CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.06 avg rating · −9.3pp headshot accuracy · +71ms reaction
Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).
Last 5 · 10 · 20 matches
Last 5
- 0–4–1 · 0% win rate
- Avg rating -0.06
- Avg headshot accuracy 10%
- Avg reaction 689ms
Last 10
- 3–6–1 · 30% win rate
- Avg rating -0.03
- Avg headshot accuracy 12%
- Avg reaction 666ms
Last 20
- 3–16–1 · 15% win rate
- Avg rating -0.06
- Avg headshot accuracy 17%
- Avg reaction 631ms
Newest first, from the last 26 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.
Player DNA
Primary style: All-Rounder — No style dimension stands clear of the others in this profile.
Limited 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.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match
Plays most like ropz 79% playstyle similarity
Most alike: aim profile, utility contribution.
Where you differ: lower positioning profile; lower opening-duel success.
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
Positioning. Positioning trails aim by 57 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.
Counter-strafing. Only 0% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 2.2/10 (Learning, provisional — under 30 tracked matches), 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 26 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Personal bests
Across the last 26 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 inferno | D | 11 | 0–11 | 0% | -0.13 |
 nuke | D | 8 | 2–6 | 25% | -0.03 |
 vertigo | — | 3 | 1–2 | 33% | -0.04 |
| debris | — | 2 | 0–2 | 0% | -0.10 |
 overpass | — | 1 | 0–1 | 0% | -0.28 |
| poseidon | — | 1 | 0–1 | 0% | -0.02 |
Across the last 26 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (0% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
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.
- Movement GuidePractice Config →
Under half your shots are taken fully stopped, so the bullets are going where the spread sends them rather than where you aim.
Counter-strafing 0% — below the 45% mark we flag
- 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 0% — below the 15% mark we flag
- Advanced MechanicsPractice Config →
Sustained sprays are missing more than they land, which is a recoil-control pattern you can drill directly.
Spray accuracy 0% — below the 20% 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 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| overpass | 1–8 | -0.28 | 0% | 30 Aug → | |
| nuke | 6–9 | 0.03 | 4% | 29 Aug → | |
| vertigo | 5–9 | -0.06 | 11% | 29 Aug → | |
| debris | 3–9 | -0.06 | 17% | 29 Aug → | |
| nuke | 8–8 | 0.05 | 17% | 29 Aug → | |
| nuke | 9–0 | 0.13 | 27% | 29 Aug → | |
| nuke | 9–7 | 0.05 | 26% | 29 Aug → | |
| nuke | 3–9 | -0.13 | 6% | 29 Aug → | |
| vertigo | 9–2 | 0.16 | 16% | 29 Aug → | |
| nuke | 1–9 | -0.23 | 0% | 29 Aug → | |
| inferno | 7–9 | -0.06 | 14% | 29 Aug → | |
| inferno | 3–9 | -0.16 | 36% | 29 Aug → | |
| poseidon | 5–9 | -0.02 | 21% | 29 Aug → | |
| inferno | 5–9 | -0.16 | 10% | 29 Aug → | |
| inferno | 4–9 | -0.06 | 21% | 29 Aug → | |
| debris | 2–9 | -0.13 | 21% | 29 Aug → | |
| inferno | 2–9 | -0.17 | 0% | 29 Aug → | |
| nuke | 4–9 | 0.09 | 56% | 29 Aug → | |
| inferno | 4–9 | -0.09 | 20% | 29 Aug → | |
| inferno | 3–9 | -0.14 | 16% | 29 Aug → | |
| inferno | 2–9 | -0.19 | 6% | 28 Aug → | |
| inferno | 0–9 | -0.23 | 20% | 28 Aug → | |
| vertigo | 3–9 | -0.23 | 8% | 28 Aug → | |
| inferno | 8–8 | -0.12 | 4% | 28 Aug → | |
| inferno | 5–9 | -0.09 | 11% | 28 Aug → | |
| nuke | 1–9 | -0.22 | 0% | 28 Aug → |
Match data via Leetify.
