TheBrettWay

TheBrettWay — CS2 Stats

US76561198203111697[U:1:242845969]Steam profile ↗

1,580Tracked matches45%Win rate2020Tracked since
CSDB Rating5.4 Developing
Premier CS Rating22,156Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#11470 of 42374 tracked
FaceitLevel 7 · 1,362 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGTheBrettWayFACEITLevel 7 · 1,362 ELOSTANDINGTop 42.3% of rankedPREMIER22,156 · Pink bandcsdb.gg/stats

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Performance scores

Aim56
Positioning56
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY41563Last 10041%Win rateLWLWWWLLWL

Last 10 vs previous 10: +20pp win rate · -0.05 avg rating

Player DNA

Aim5.6
Aggression9.3
Utility6.0
Positioning5.6
Opening Duels4.9
Clutch6.0

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

sh1ro

Plays most like sh1ro 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

T-side openings. Opening success drops from 60% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 557ms 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

Aim5.6
Positioning5.6
Utility6.0
Mechanics5.1
Opening Duels4.9
Win Impact3.3

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time553ms−57ms
first ⅓ avg 610ms → last ⅓ avg 553ms
Headshot accuracy12.9%+0.7%
first ⅓ avg 12.2% → last ⅓ avg 12.9%

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

0.12Best rating — mirage 13–5
133Biggest win — ancient
4Longest win streak
104In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 58% over 12cacheWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA27151256%0.00
anubisD1861233%-0.01
ancientD1751229%-0.02
infernoA127558%-0.01
nukeC114736%0.00
dust2C83538%-0.03
cacheD71614%-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

49Matches
55%Win rate
0.99Avg K/D
80.4ADR
31%Headshot %

Clutches & streaks

50%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1867%1.1016.8
Ancient1145%0.8313.2
Inferno667%0.9416.3
Dust2650%0.9413.7
Nuke650%1.2017.2
Overpass10%0.5310.0
Train10%0.6911.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.4%Headshot accuracy
32.2%Accuracy (enemy spotted)
37.0%Spray accuracy
72.8%Counter-strafing
9.8°Preaim
557msReaction time
39.1%T opening success
59.7%CT opening success
0.64Enemies flashed / flash
10.1%Flash assists
11.40HE damage / grenade
10.44Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.4262% — below the 15% mark we flag

    Aim Training
  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 39.1265% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.086%30 Aug
nuke13–11-0.0129%30 Aug
dust26–13-0.0612%29 Aug
anubis13–100.0322%29 Aug
inferno13–100.0110%29 Aug
cache13–8-0.028%29 Aug
nuke4–13-0.093%29 Aug
anubis9–13-0.038%29 Aug
dust213–10-0.0122%29 Aug
mirage7–13-0.0717%29 Aug
ancient13–30.048%28 Aug
mirage6–130.0913%28 Aug
dust215–15-0.069%27 Aug
mirage13–110.0115%22 Aug
ancient3–13-0.098%22 Aug
mirage14–16-0.0210%22 Aug
mirage9–130.0811%22 Aug
anubis4–130.0314%22 Aug
anubis13–100.057%20 Aug
ancient10–130.0112%18 Aug
mirage4–13-0.063%18 Aug
mirage13–60.0120%18 Aug
dust211–13-0.0414%16 Aug
nuke13–70.0115%15 Aug
mirage14–16-0.0212%15 Aug
ancient13–11-0.0220%15 Aug
mirage8–13-0.0410%15 Aug
mirage13–40.0111%15 Aug
inferno2–13-0.048%15 Aug
ancient13–110.0411%15 Aug
anubis9–130.028%15 Aug
anubis4–13-0.0712%15 Aug
mirage13–6-0.0239%15 Aug
ancient4–130.0315%15 Aug
nuke15–15-0.0113%14 Aug
nuke6–130.0110%14 Aug
ancient5–13-0.0415%11 Aug
inferno2–13-0.058%10 Aug
dust21–13-0.0919%9 Aug
nuke13–90.0011%9 Aug
mirage13–11-0.034%9 Aug
anubis13–11-0.0612%9 Aug
dust213–11-0.0210%9 Aug
anubis3–13-0.039%9 Aug
mirage13–10-0.087%9 Aug
inferno13–8-0.028%9 Aug
anubis13–7-0.0111%8 Aug
inferno13–80.0132%8 Aug
mirage7–13-0.0114%8 Aug
ancient10–130.0312%8 Aug
anubis9–130.0218%8 Aug
ancient4–13-0.058%8 Aug
anubis8–13-0.0511%8 Aug
mirage13–80.0311%8 Aug
anubis4–13-0.054%8 Aug
inferno8–30.0213%8 Aug
cache7–130.0110%7 Aug
anubis13–110.085%7 Aug
mirage13–40.0721%7 Aug
anubis9–13-0.0311%7 Aug
mirage9–0-0.1320%7 Aug
mirage13–7-0.0014%6 Aug
inferno13–70.0711%6 Aug
mirage16–13-0.026%6 Aug
anubis9–13-0.007%5 Aug
ancient7–13-0.083%5 Aug
mirage13–60.1214%5 Aug
cache7–13-0.069%4 Aug
ancient15–15-0.019%4 Aug
mirage3–13-0.067%4 Aug
ancient13–9-0.0216%3 Aug
nuke9–130.0517%2 Aug
inferno13–30.0418%2 Aug
cache4–13-0.057%2 Aug
ancient8–130.009%2 Aug
ancient6–13-0.048%1 Aug
ancient13–160.029%1 Aug
inferno7–13-0.0010%1 Aug
anubis13–110.0110%1 Aug
mirage13–160.029%1 Aug
ancient13–6-0.027%30 Jul
anubis6–13-0.047%19 Jul
cache14–160.0415%18 Jul
cache4–130.0214%18 Jul
mirage13–50.126%18 Jul
nuke2–130.0116%18 Jul
nuke5–130.0117%18 Jul
cache4–13-0.0514%11 Jul
mirage13–50.0212%11 Jul
dust213–100.0917%11 Jul
nuke13–100.0310%11 Jul
mirage7–13-0.0211%10 Jul
inferno8–13-0.0018%5 Jul
inferno13–10-0.0013%4 Jul
mirage10–130.0124%3 Jul
nuke7–13-0.016%29 Jun
inferno4–9-0.2013%28 Jun
mirage13–110.0519%26 Jun
ancient8–13-0.078%26 Jun
dust27–13-0.0319%25 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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