[PG] Brezel!!!

[PG] Brezel!!! — CS2 Stats

DE76561197999368266[U:1:39102538]Steam profile ↗✓ No bans

411Tracked matches37%Win rate2020Tracked since
CSDB Rating4.1 DevelopingPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 14,533 +2,646 30 Oct – 5 Jul · 22 days played
11,55214,999peak 14,99930 Oct5 Jul
14,999Peak Premier in tracked matches
31Days played since 2025-10-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim53
Positioning45
Utility40

0–100 skill scores via Leetify.

Recent form

COLD40–56–4Last 10040%Win rateLLLLLLWLLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +3.8pp headshot accuracy · −102ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 537ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 550ms

Last 20

  • 4–16 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 601ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim5.3
Utility4.0
Positioning4.5
Opening Duels0.1

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

sh1ro

Plays most like sh1ro 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 605ms 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

Aim5.3
Positioning4.5
Utility4.0
Mechanics5.8
Opening Duels0.6
Win Impact0.6

Composite 4.1/10 (Developing), 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

Match rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time612ms−23ms
first ⅓ avg 635ms → last ⅓ avg 612ms
Headshot accuracy16.1%−3.0%
first ⅓ avg 19.2% → last ⅓ avg 16.1%

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.

Personal bests

0.20Best match rating · 13–5 · nuke, 5 Jul →
39%Best headshot accuracy · 13–8 · dust2, 7 Nov →
422msFastest reaction time · 16–12 · inferno, 25 May →
13–2Biggest win · mirage, 3 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L6Current streak
4–15In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 56% over 18mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C3111–2035%-0.01
infernoC198–1142%0.00
nukeA1810–856%0.01
ancientD123–925%-0.02
anubisB105–550%-0.00
mirageD51–420%-0.01
cache—20–20%-0.04
overpass—10–10%-0.02
office—11–0100%-0.01
train—11–0100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 5 essential Mirage 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.

16.2%Headshot accuracy
32.1%Accuracy (enemy spotted)
37.3%Spray accuracy
76.1%Counter-strafing
11.7°Preaim
605msReaction time
32.7%T opening success
31.8%CT opening success
0.42Enemies flashed / flash
8.6%Flash assists
10.30HE damage / grenade
1.60Flashes / match

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.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4166 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 32.7107% — below the 40% mark we flag

Spend your practice time on Mirage

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 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–16-0.0720%2 Oct →
nuke11–13-0.0516%2 Oct →
dust210–13-0.0421%2 Oct →
mirage10–13-0.0521%2 Oct →
nuke7–13-0.0419%27 Sept →
cache7–13-0.0215%27 Sept →
nuke13–8-0.0120%27 Sept →
dust25–130.0420%26 Sept →
mirage11–130.0115%26 Sept →
dust211–130.039%26 Sept →
nuke10–13-0.016%25 Sept →
anubis11–130.0617%25 Sept →
nuke13–80.0616%25 Sept →
dust210–13-0.0818%25 Sept →
dust213–90.0020%25 Sept →
ancient14–16-0.086%25 Sept →
cache3–13-0.0511%17 Jul →
dust24–13-0.0323%17 Jul →
ancient13–80.0110%17 Jul →
anubis7–13-0.0911%5 Jul →
nuke9–130.0321%5 Jul →
nuke13–8-0.0322%5 Jul →
nuke16–120.0611%5 Jul →
anubis13–80.0212%5 Jul →
nuke13–50.2020%5 Jul →
inferno11–130.0931%3 Jul →
dust213–60.0021%3 Jul →
mirage13–20.0111%3 Jul →
nuke13–70.0619%2 Jul →
dust29–13-0.0510%2 Jul →
inferno13–7-0.0215%2 Jul →
nuke13–7-0.0110%30 Jun →
anubis13–50.0516%26 Jun →
nuke11–130.0111%26 Jun →
anubis13–11-0.0124%26 Jun →
dust23–13-0.0810%26 Jun →
inferno13–90.0215%26 Jun →
ancient13–9-0.0317%19 Jun →
ancient3–130.0721%19 Jun →
ancient11–130.0616%19 Jun →
dust216–130.059%19 Jun →
dust26–13-0.0311%19 Jun →
anubis2–9-0.0923%13 Jun →
anubis11–130.0013%13 Jun →
inferno14–16-0.0422%13 Jun →
dust213–90.0117%13 Jun →
anubis13–100.0414%10 Jun →
inferno13–90.0417%10 Jun →
inferno9–13-0.0011%10 Jun →
inferno6–9-0.0715%10 Jun →
inferno16–120.0115%25 May →
dust213–50.0422%25 May →
dust22–13-0.0117%25 May →
mirage11–130.0210%25 May →
dust212–16-0.0415%24 May →
ancient8–13-0.0723%24 May →
dust213–110.0428%24 May →
ancient13–60.0213%22 May →
anubis13–20.0217%22 May →
inferno10–130.0316%21 May →
inferno2–9-0.097%16 May →
inferno8–13-0.049%16 May →
nuke10–13-0.0610%16 May →
overpass6–13-0.0217%16 May →
dust214–160.0511%9 May →
ancient3–13-0.0822%9 May →
dust25–13-0.0125%9 May →
dust211–130.0018%9 May →
inferno8–130.0519%9 May →
anubis15–15-0.0415%2 May →
inferno13–10-0.0112%1 May →
dust29–13-0.0316%1 May →
inferno13–50.0318%16 Apr →
dust213–90.0116%16 Apr →
inferno11–130.0029%16 Apr →
inferno13–10-0.0221%15 Apr →
mirage12–16-0.0118%15 Apr →
nuke13–11-0.0315%15 Apr →
ancient5–13-0.0811%15 Apr →
dust210–130.0421%15 Apr →
nuke15–150.0315%13 Apr →
nuke3–13-0.0438%13 Apr →
dust29–13-0.0331%13 Apr →
dust215–150.0018%4 Apr →
nuke13–70.0215%4 Apr →
dust213–10-0.0715%4 Apr →
inferno3–130.0515%4 Apr →
dust24–13-0.069%4 Apr →
nuke13–110.0326%4 Apr →
inferno13–40.1320%4 Apr →
dust213–40.0514%29 Nov →
dust29–130.0313%28 Nov →
office13–9-0.0120%28 Nov →
dust213–60.019%27 Nov →
dust215–15-0.0130%9 Nov →
ancient14–16-0.0122%9 Nov →
ancient9–13-0.0320%7 Nov →
dust213–8-0.0239%7 Nov →
ancient8–13-0.0221%30 Oct →
train13–6-0.0113%30 Oct →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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