brendan905

brendan905 — CS2 Stats

CA76561198890078237[U:1:929812509]Steam profile ↗✓ No bans

525Tracked matches32%Win rate2025Tracked since
CSDB Rating3.8 LearningPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 32 days played since 17 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

2,535Peak Premier in tracked matches
32Days played since 2026-02-17

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

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CSDB.GGbrendan905FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim61
Positioning32
Utility14

0–100 skill scores via Leetify.

Recent form

COLD33607Last 10033%Win rateLWTLLWLLWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +5.1pp headshot accuracy · +37ms 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

  • 131 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 23%
  • Avg reaction 692ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 702ms

Last 20

  • 7112 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 683ms

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).

Aim6.1
Utility1.4
Positioning3.2
Opening Duels0.0
Clutch0.0

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 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 707ms 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

Aim6.1
Positioning3.2
Utility1.4
Mechanics7.3
Opening Duels0.0
Win Impact0.0

Composite 3.8/10 (Learning), 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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time701ms−56ms
first ⅓ avg 757ms → last ⅓ avg 701ms
Headshot accuracy16.3%+2.4%
first ⅓ avg 13.9% → last ⅓ avg 16.3%

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

0.28Best match rating · 9–4 · overpass, 19 Feb
40%Best headshot accuracy · 5–13 · dust2, 21 May
406msFastest reaction time · 1–13 · inferno, 1 Mar
13–2Biggest win · anubis, 21 May

Across the last 100 tracked matches.

Highlights

5Longest win streak
48In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 60% over 10infernoWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C2281436%-0.05
infernoD1421214%-0.07
nukeC145936%-0.05
ancientA106460%-0.02
mirageD92722%-0.04
vertigoD93633%-0.00
cacheD61517%-0.06
anubisC52340%-0.06
train41325%0.01
overpass43175%0.06
office1010%-0.08
sanctum1010%-0.13
poseidon1010%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7Matches
43%Win rate
0.50Avg K/D
50.4ADR
59%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.497.0
Inferno250%0.5410.0
Anubis1100%0.578.0
Nuke10%0.356.0

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.

17.6%Headshot accuracy
34.4%Accuracy (enemy spotted)
39.7%Spray accuracy
82.7%Counter-strafing
10.1°Preaim
707msReaction time
15.8%T opening success
25.8%CT opening success
0.18Enemies flashed / flash
5.0%Flash assists
7.74HE damage / grenade
1.51Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 706.9213ms — above the 700ms mark we flag

    Aim Training
  2. 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 0.1815 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 15.8197% — 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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0916%22 Sept
dust216–12-0.0329%22 Sept
cache12–12-0.0428%22 Sept
mirage10–13-0.0627%21 Sept
vertigo9–13-0.0117%21 Sept
dust213–10-0.0339%21 Sept
train7–130.039%20 Sept
ancient2–13-0.0426%3 Sept
dust213–6-0.105%8 Aug
dust26–13-0.0422%15 Jul
office4–13-0.0821%3 Jul
vertigo2–13-0.117%3 Jul
cache5–13-0.0715%3 Jul
mirage12–120.0319%13 Jun
dust26–13-0.0219%13 Jun
ancient16–12-0.0010%21 May
ancient8–1-0.020%21 May
anubis13–20.0011%21 May
nuke13–90.0324%21 May
dust25–13-0.0140%21 May
ancient8–13-0.062%21 May
ancient13–10-0.0915%20 May
mirage3–13-0.1020%20 May
inferno9–13-0.0118%20 May
dust27–13-0.0611%20 May
mirage11–13-0.106%17 May
cache9–13-0.066%17 May
dust211–13-0.0724%17 May
dust24–13-0.0613%17 May
cache13–6-0.0112%17 May
nuke12–12-0.045%17 May
overpass13–20.1010%17 May
ancient11–13-0.0711%17 May
dust210–13-0.0612%15 May
anubis3–13-0.076%15 May
mirage13–5-0.0615%11 May
dust213–5-0.055%11 May
dust213–11-0.0128%11 May
nuke12–12-0.038%11 May
cache8–13-0.0719%11 May
inferno4–13-0.1020%9 May
dust212–12-0.0526%9 May
cache0–13-0.0815%9 May
inferno12–12-0.0512%26 Apr
inferno7–9-0.0511%24 Apr
vertigo4–9-0.1413%24 Apr
train8–13-0.0515%23 Apr
dust20–13-0.1325%21 Apr
mirage6–13-0.0116%20 Apr
anubis9–13-0.1211%19 Apr
dust24–13-0.0717%18 Apr
mirage4–130.0214%17 Apr
nuke13–7-0.038%16 Apr
mirage13–30.029%12 Apr
dust213–9-0.0621%12 Apr
dust210–13-0.0912%1 Mar
dust23–13-0.0523%1 Mar
nuke4–13-0.1027%1 Mar
ancient13–40.078%1 Mar
inferno1–13-0.1021%1 Mar
dust213–11-0.0618%28 Feb
nuke13–6-0.0516%28 Feb
inferno10–13-0.0423%28 Feb
ancient13–100.0515%28 Feb
dust211–13-0.1113%28 Feb
anubis4–130.0132%28 Feb
train8–130.0424%27 Feb
dust212–120.0316%27 Feb
ancient10–13-0.0410%27 Feb
train13–50.048%26 Feb
dust213–11-0.0913%26 Feb
anubis13–7-0.108%26 Feb
nuke13–8-0.0115%26 Feb
inferno13–100.0515%24 Feb
mirage4–13-0.0711%24 Feb
ancient13–7-0.0418%24 Feb
inferno6–9-0.1014%20 Feb
nuke9–40.1517%20 Feb
vertigo9–40.1617%20 Feb
overpass3–9-0.1712%20 Feb
nuke2–9-0.1713%20 Feb
inferno7–9-0.1313%20 Feb
sanctum1–9-0.130%19 Feb
vertigo9–60.009%19 Feb
overpass9–40.2824%19 Feb
nuke4–9-0.1012%19 Feb
inferno2–9-0.0613%19 Feb
overpass9–70.0219%19 Feb
nuke2–9-0.0522%19 Feb
inferno9–20.108%19 Feb
vertigo2–9-0.1125%19 Feb
vertigo9–30.1422%17 Feb
poseidon6–90.0317%17 Feb
inferno0–9-0.2115%17 Feb
nuke5–9-0.0221%17 Feb
vertigo5–9-0.036%17 Feb
nuke6–9-0.056%17 Feb
inferno2–9-0.1714%17 Feb
vertigo7–90.089%17 Feb
nuke1–9-0.1618%17 Feb

Match data via Leetify.

Recent teammates

Milestones

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