brandon

brandon — CS2 Stats

CA76561198991363288[U:1:1031097560]Steam profile ↗✓ No bans

259Tracked matches57%Win rate2020Tracked since
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating22,518Top 25% of 175,286 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#43870 of 222351 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 47 days played since 2 Jun 2023. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 22,518 +9,014 9 Mar17 Sept · 13 days played
13,50422,607peak 22,6079 Mar17 Sept
22,607Peak Premier in tracked matches
47Days played since 2023-06-02

Premier CS Rating

  • 89 below peak (22,607)
  • +29 over 30 days · steady
  • +2,938 over 90 days
  • Next: Red band at 25,000 2,482 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-17
  • Purple band first seen 2026-09-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGbrandonFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER22,518 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim46
Positioning54
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY54433Last 10054%Win rateWTLWWWWLWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +0.4pp headshot accuracy · +2ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 311 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 605ms

Last 10

  • 631 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 620ms

Last 20

  • 1361 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 619ms

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 PlayerPositioning stands above the rest of this profile (+2.1 against its own average).

Aim4.6
Utility2.7
Positioning5.4
Opening Duels1.7

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

jL

Plays most like jL 77% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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 40% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 642ms 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

Aim4.6
Positioning5.4
Utility2.7
Mechanics5.7
Opening Duels1.2
Win Impact7.4

Composite 4.7/10 (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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time635ms+72ms
first ⅓ avg 563ms → last ⅓ avg 635ms
Headshot accuracy19.0%+4.8%
first ⅓ avg 14.1% → last ⅓ avg 19.0%

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

0.15Best match rating · 13–3 · ancient, 28 Sept
30%Best headshot accuracy · 9–13 · dust2, 14 Aug
422msFastest reaction time · 13–3 · inferno, 13 Aug
13–1Biggest win · nuke, 28 Sept

Across the last 100 tracked matches.

Highlights

8Longest win streak
46In matches decided by ≤2 rounds
26Overtime games

Map breakdown

cacheBest map · 80% over 5infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB28141450%-0.02
ancientA2213959%0.01
dust2S1510567%-0.01
infernoC135838%-0.03
overpassB84450%0.00
cacheS54180%-0.03
anubis41325%-0.05
nuke43175%0.04
vertigo1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

73Matches
49%Win rate
0.93Avg K/D
ADR
34%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWL

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.

19.5%Headshot accuracy
28.5%Accuracy (enemy spotted)
28.9%Spray accuracy
75.5%Counter-strafing
10.2°Preaim
642msReaction time
22.5%T opening success
39.6%CT opening success
0.45Enemies flashed / flash
8.5%Flash assists
6.81HE damage / grenade
3.09Flashes / 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 0.4539 — 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 22.5331% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0122%7 Sept
mirage15–15-0.0511%7 Sept
dust29–13-0.0130%14 Aug
inferno13–3-0.0413%13 Aug
dust213–70.0223%13 Aug
cache13–70.0120%1 Aug
mirage13–11-0.0520%1 Aug
dust210–13-0.0124%1 Aug
mirage13–7-0.0115%24 Jul
ancient5–13-0.0123%24 Jul
ancient13–8-0.0218%22 Jul
cache13–9-0.0224%22 Jul
dust216–14-0.0420%21 Jul
mirage7–13-0.0119%21 Jul
ancient11–6-0.0211%21 Jul
dust213–6-0.0226%21 Jul
mirage13–5-0.0015%19 Jul
inferno9–13-0.0530%19 Jul
cache9–13-0.0518%9 Jul
mirage13–8-0.0316%9 Jul
ancient7–13-0.0319%5 Jul
mirage15–15-0.0314%5 Jul
overpass13–80.0226%30 Jun
ancient2–13-0.0614%29 Jun
mirage3–130.0429%28 Jun
mirage8–13-0.0710%28 Jun
mirage13–8-0.0624%15 Jun
ancient5–13-0.0910%12 Jun
inferno8–13-0.1128%19 May
ancient13–30.0411%19 May
mirage13–8-0.0113%19 May
mirage6–13-0.0311%13 May
dust210–130.0418%13 May
mirage1–13-0.0712%13 May
ancient13–80.0623%13 May
mirage13–30.0824%11 May
ancient13–20.1215%11 May
mirage10–13-0.0717%7 May
ancient13–30.0017%7 May
dust213–60.0119%7 May
overpass13–30.0517%7 May
cache13–4-0.0426%30 Apr
cache13–5-0.0418%30 Apr
ancient10–13-0.0713%20 Mar
anubis6–13-0.0422%20 Mar
dust27–13-0.0322%19 Mar
dust213–50.0119%18 Feb
anubis13–10-0.109%18 Feb
dust210–13-0.0323%17 Dec
dust213–90.0115%19 Aug
mirage5–13-0.0518%19 Aug
ancient13–30.0119%19 Aug
nuke13–80.0315%19 Aug
dust213–60.0211%24 May
inferno15–15-0.0112%24 May
ancient13–40.0713%13 Apr
mirage3–13-0.0616%13 Apr
mirage11–130.0427%12 Apr
ancient7–13-0.0218%14 Mar
inferno13–7-0.0011%11 Mar
ancient13–40.0710%9 Mar
anubis11–13-0.0017%9 Mar
vertigo11–13-0.0416%8 Mar
ancient3–13-0.0320%8 Mar
mirage10–13-0.0217%14 Nov
nuke13–100.0720%29 Sept
ancient13–11-0.0614%28 Sept
ancient6–13-0.019%28 Sept
inferno13–16-0.0610%28 Sept
overpass4–130.0417%28 Sept
overpass1–130.0424%28 Sept
mirage13–80.0421%28 Sept
ancient13–80.0115%28 Sept
inferno13–8-0.0224%28 Sept
nuke13–10.1123%28 Sept
ancient13–30.1520%28 Sept
inferno13–60.0310%27 Sept
mirage9–3-0.0429%17 Sept
mirage16–13-0.0213%7 Sept
inferno7–90.045%6 Sept
mirage16–90.0011%4 Aug
ancient9–16-0.0316%4 Aug
inferno11–16-0.0417%9 Jun
mirage8–16-0.036%9 Jun
anubis13–16-0.0712%8 Jun
overpass16–13-0.0312%6 Jun
mirage16–100.0214%6 Jun
ancient16–100.0811%6 Jun
nuke2–16-0.0515%6 Jun
inferno16–13-0.0114%5 Jun
mirage7–16-0.058%5 Jun
inferno12–16-0.088%4 Jun
overpass14–16-0.0711%4 Jun
dust216–14-0.0516%4 Jun
dust219–150.0017%3 Jun
inferno14–160.0211%3 Jun
overpass6–16-0.0310%2 Jun
overpass16–120.0010%2 Jun
mirage16–50.0013%2 Jun
mirage16–6-0.0015%2 Jun

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 →