♕braz mogpeek — CS2 Stats

76561198091717331[U:1:131451603]

914Tracked matches59%Win rate2020Tracked since
2,936Hours in CS1Hrs last 2 wks
CSDB Rating6.1 SolidAggressive Rifler
FaceitLevel 6 · 1,381 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=862), 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 6 medianLevel 7 medianvs Level 7
Headshot rate36.5%44.9%46.2%9.8% short
Shot accuracy19.4%11.8%12.5%above
Kill/death ratio1.071.041.06meets
Match win rate42.4%45.3%45.9%3.5% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG♕braz mogpeekFACEITLevel 6 · 1,381 ELOSTANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning71
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY48484Last 10048%Win rateWLWLWWLWWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.4
Aggression10.0
Utility4.6
Positioning7.1
Opening Duels5.3
Clutch1.2

Strong CT-side openerLimited 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.

Your pro match

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 59% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms 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

Aim7.4
Positioning7.1
Utility4.6
Mechanics7.4
Opening Duels5.3
Win Impact7.9

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time597ms−40ms
first ⅓ avg 637ms → last ⅓ avg 597ms
Headshot accuracy13.5%−3.7%
first ⅓ avg 17.2% → last ⅓ avg 13.5%

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

0.15Best rating — nuke 13–2
131Biggest win — train
5Longest win streak
128In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 64% over 22infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B28151354%-0.01
ancientA2214864%0.00
nukeC104640%0.01
mirageD92722%-0.03
cacheA85363%0.02
anubisB84450%0.02
infernoD81713%-0.01
overpassC52340%-0.00
train21150%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

81,374Lifetime kills
1.07K/D · Top 50% of Level 6 players
3,737Matches
42.4%Match win rate
36.5%Headshot %
19.4%Shot accuracy · Top 5% of Level 6 players
10,444MVPs
1,720Hours (in match)
3,019Bombs planted
1,335Bombs defused

Most-used weapons

AK-4731,202
AWP11,915
UMP-451,909
SG 5531,442
FAMAS1,207

Lifetime map wins

7,876inferno
7,243dust2
2,588nuke
1,226vertigo
1,081train
742cbble
235office
88lake

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

Faceit stats

Combat

482Matches
45%Win rate
1.32Avg K/D
77.9ADR
34%Headshot %

Clutches & streaks

26%1v1 clutch win
11%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2978%1.1116.8
Ancient729%1.1116.7
Mirage617%0.9615.5
Anubis425%1.2314.8
Inferno450%1.1120.0
Train1100%0.898.0
Nuke1100%1.0017.0

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.

13.6%Headshot accuracy
36.7%Accuracy (enemy spotted)
37.2%Spray accuracy
83.2%Counter-strafing
8.2°Preaim
586msReaction time
42.9%T opening success
59.2%CT opening success
0.46Enemies flashed / flash
13.8%Flash assists
6.64HE damage / grenade
4.04Flashes / 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 13.5832% — below the 15% 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 0.4638 — below the 0.5 mark we flag

    Grenade Lineups
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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–110.0215%20 Aug
cache4–130.029%3 Aug
ancient13–110.0418%3 Aug
dust27–13-0.0013%27 Jul
ancient13–8-0.017%14 Jul
anubis13–60.0020%11 Jul
cache10–130.058%11 Jul
ancient16–14-0.049%11 Jul
dust213–90.022%11 Jul
ancient12–160.0420%4 Jul
nuke11–13-0.0417%1 Jul
overpass3–13-0.035%27 Jun
mirage4–13-0.074%27 Jun
inferno13–60.1125%27 Jun
inferno3–9-0.0613%18 Jun
overpass13–60.0320%7 Jun
dust213–110.0112%7 Jun
dust213–6-0.0618%7 Jun
ancient16–140.029%6 Jun
dust26–13-0.0821%6 Jun
anubis13–70.0212%6 Jun
ancient13–11-0.0116%6 Jun
dust213–160.0216%3 Jun
mirage10–13-0.0824%3 Jun
ancient16–13-0.0113%3 Jun
anubis6–13-0.0016%2 Jun
anubis13–100.0611%2 Jun
cache12–120.0314%28 May
nuke13–16-0.056%28 May
cache13–50.0817%27 May
cache13–110.0114%5 May
cache13–30.0120%5 May
cache13–5-0.013%5 May
dust216–120.0315%28 Apr
anubis7–130.0521%28 Apr
ancient16–130.0521%28 Apr
dust213–50.1022%28 Apr
overpass11–13-0.0316%27 Apr
inferno9–13-0.0113%27 Apr
dust215–150.0713%21 Apr
dust213–5-0.0626%21 Apr
ancient13–9-0.0121%20 Apr
dust213–9-0.0312%19 Apr
ancient4–13-0.0222%17 Apr
anubis11–13-0.0416%17 Apr
dust27–13-0.0410%11 Apr
ancient13–100.0213%11 Apr
ancient10–13-0.005%8 Apr
dust213–11-0.0428%8 Apr
nuke13–20.1514%7 Apr
dust213–60.0214%7 Apr
mirage11–13-0.0111%7 Apr
mirage14–16-0.0229%7 Apr
dust21–13-0.0511%5 Apr
mirage10–13-0.027%24 Mar
inferno15–150.0515%24 Mar
nuke13–110.0719%18 Mar
nuke13–40.0715%18 Mar
nuke10–13-0.0123%11 Mar
mirage13–11-0.0618%10 Mar
dust213–100.0116%10 Mar
inferno7–130.0121%5 Mar
dust24–13-0.0114%2 Mar
dust211–13-0.0613%4 Feb
nuke8–1-0.020%4 Feb
dust216–140.0018%4 Feb
nuke3–10-0.0438%3 Feb
dust25–00.0517%3 Feb
dust213–60.0529%2 Feb
anubis4–13-0.029%2 Feb
anubis13–80.0817%29 Jan
ancient6–13-0.0311%29 Jan
overpass6–130.0114%27 Jan
ancient13–9-0.0111%27 Jan
dust21–13-0.0410%22 Jan
ancient2–13-0.0616%19 Jan
dust27–13-0.015%19 Jan
overpass13–90.0114%17 Jan
inferno7–13-0.0520%17 Jan
dust213–60.0220%17 Jan
ancient9–13-0.0118%15 Jan
dust23–13-0.0610%15 Jan
train7–130.1022%14 Jan
dust27–13-0.0217%11 Jan
ancient11–13-0.0823%10 Jan
dust210–13-0.0526%10 Jan
mirage10–13-0.0123%9 Jan
ancient13–90.0014%9 Jan
inferno6–13-0.0523%7 Jan
ancient13–110.0420%7 Jan
mirage13–9-0.0111%6 Jan
inferno4–13-0.0913%5 Jan
ancient7–130.0117%4 Jan
ancient13–30.1423%3 Jan
nuke15–15-0.0116%30 Dec
train13–10.0260%30 Dec
nuke10–13-0.0117%29 Dec
dust213–60.025%29 Dec
ancient16–130.0211%28 Dec
mirage11–130.026%28 Dec

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 →