Brendan Fraser — CS2 Stats

76561197970858466[U:1:10592738]

598Tracked matches52%Win rate2020Tracked since
747Hours in CS
CSDB Rating3.5 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate35.1%42.5%44.2%9.1% short
Shot accuracy16.7%10.9%11.2%above
Kill/death ratio0.960.991.040.08 short
Match win rate44.7%44.2%45.3%meets

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBrendan FraserFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim30
Positioning32
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY48502Last 10048%Win rateWWLLWLWLWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim3.0
Aggression1.0
Utility2.9
Positioning3.2
Opening Duels0.0
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

NiKo

Plays most like NiKo 63% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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. 726ms 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

Aim3.0
Positioning3.2
Utility2.9
Mechanics6.7
Opening Duels0.0
Win Impact5.6

Composite 3.5/10 (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 -0.02 → last ⅓ avg -0.04
Reaction time714ms+39ms
first ⅓ avg 675ms → last ⅓ avg 714ms
Headshot accuracy10.8%−0.3%
first ⅓ avg 11.1% → last ⅓ avg 10.8%

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

0.06Best rating — ancient 13–0
130Biggest win — ancient
7Longest win streak
W2Current streak
96In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 71% over 7nukeWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B1991047%-0.02
ancientB189950%-0.03
overpassB189950%-0.02
mirageB178947%-0.03
nukeC104640%-0.03
anubisS75271%-0.03
infernoC52340%-0.03
trainC52340%-0.02
cache1010%-0.13

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,948Lifetime kills
0.96K/D
2,196Matches
44.7%Match win rate · Top 50% of Level 4 players
35.1%Headshot %
16.7%Shot accuracy · Top 25% of Level 4 players
3,436MVPs
747Hours (in match)
2,222Bombs planted
341Bombs defused

Most-used weapons

AK-478,455
AWP2,411
P901,932
AUG1,519

Lifetime map wins

4,859dust2
1,497nuke
1,386inferno
658train
576vertigo
320cbble
299office
55lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

16Matches
62%Win rate
0.93Avg K/D
81.3ADR
32%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust23100%0.8214.7
Overpass250%1.0915.5
Mirage20%0.709.5
Nuke250%0.7410.0
Ancient250%0.5811.0
Vertigo1100%1.3818.0
Inferno10%0.8012.0

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.

11.0%Headshot accuracy
29.8%Accuracy (enemy spotted)
33.3%Spray accuracy
80.3%Counter-strafing
12.0°Preaim
726msReaction time
18.6%T opening success
29.1%CT opening success
0.48Enemies flashed / flash
0.0%Flash assists
9.10HE damage / grenade
2.60Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.026° — above the 12° mark we flag

    Aim Training
  2. 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 10.9731% — below the 15% mark we flag

    Aim Training
  3. 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 725.7292ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Nuke

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–7-0.0315%8 Aug
dust213–11-0.0412%8 Aug
ancient7–13-0.0416%8 Aug
mirage2–13-0.0419%12 Jul
dust213–20.0215%12 Jul
mirage7–13-0.078%4 Jul
ancient16–13-0.058%28 Jun
nuke10–13-0.024%21 Jun
anubis13–10-0.076%21 Jun
nuke4–13-0.0113%14 Jun
mirage10–13-0.078%14 Jun
dust213–5-0.014%14 Jun
anubis13–3-0.0313%6 Jun
ancient13–11-0.047%6 Jun
overpass8–13-0.038%6 Jun
inferno13–7-0.057%6 Jun
ancient8–13-0.0713%6 Jun
mirage3–13-0.0815%16 May
dust213–5-0.0510%16 May
cache8–13-0.1314%2 May
inferno2–13-0.0614%27 Apr
nuke7–13-0.017%27 Apr
anubis13–100.0115%27 Apr
dust215–15-0.0515%27 Apr
overpass13–50.0118%19 Apr
mirage13–100.0118%12 Apr
overpass13–10.0116%12 Apr
ancient13–9-0.078%12 Apr
mirage12–16-0.054%22 Mar
dust211–130.0011%21 Mar
ancient9–13-0.060%21 Mar
anubis2–13-0.056%21 Mar
overpass7–13-0.0011%21 Mar
ancient6–13-0.098%14 Mar
anubis13–110.039%14 Mar
mirage13–9-0.0011%14 Mar
dust25–13-0.0813%8 Mar
overpass2–13-0.0219%8 Mar
nuke13–80.0117%8 Mar
overpass8–13-0.0810%1 Feb
inferno11–13-0.0211%1 Feb
anubis6–13-0.078%1 Feb
ancient3–13-0.1311%1 Feb
nuke6–13-0.0211%29 Jan
mirage2–13-0.057%29 Jan
ancient13–20.0315%29 Jan
dust211–13-0.0315%29 Jan
anubis3–0-0.04100%29 Jan
mirage7–13-0.0618%11 Jan
overpass10–13-0.0812%11 Jan
mirage11–13-0.0317%11 Jan
ancient13–40.0312%11 Jan
dust213–7-0.018%11 Jan
overpass8–130.006%10 Jan
dust27–13-0.0514%10 Jan
dust213–40.0121%4 Jan
mirage13–11-0.019%4 Jan
ancient13–6-0.009%4 Jan
overpass4–13-0.044%4 Jan
nuke13–3-0.047%1 Jan
overpass13–5-0.084%1 Jan
mirage13–9-0.0117%1 Jan
dust29–13-0.0417%1 Jan
ancient13–00.0623%1 Jan
overpass11–130.0112%21 Dec
ancient5–13-0.107%21 Dec
dust213–70.0614%21 Dec
mirage10–13-0.0612%21 Dec
train13–5-0.0219%21 Dec
overpass4–13-0.0616%21 Dec
ancient13–100.049%19 Dec
dust20–4-0.090%14 Dec
ancient4–13-0.0413%14 Dec
train13–9-0.049%14 Dec
overpass4–00.000%14 Dec
train14–16-0.050%12 Dec
mirage13–10.0012%12 Dec
nuke13–10-0.075%2 Nov
nuke15–15-0.0911%27 Oct
inferno5–13-0.0313%6 Oct
overpass13–110.036%4 Oct
dust27–13-0.0015%4 Oct
overpass13–8-0.029%4 Oct
inferno13–90.023%3 Oct
dust213–110.0118%30 Sept
overpass13–5-0.049%27 Sept
dust213–3-0.018%27 Sept
mirage13–5-0.0511%27 Sept
nuke13–11-0.0411%27 Sept
dust27–13-0.056%27 Sept
overpass16–140.0110%27 Sept
train8–13-0.019%26 Sept
ancient12–16-0.0516%21 Sept
train7–130.0122%19 Sept
overpass13–80.0014%19 Sept
ancient13–20.0412%19 Sept
nuke8–13-0.0313%18 Sept
mirage13–110.0312%12 Sept
ancient2–13-0.0818%12 Sept
dust27–13-0.0424%12 Sept

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 →