MasterBaiter — CS2 Stats

76561198123335856[U:1:163070128]✓ No bans

993Tracked matches43%Win rate2020Tracked since
3,676Hours in CS14Hrs last 2 wks
CSDB Rating4.8 DevelopingHybrid Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 medianLevel 6 medianvs Level 6
Headshot rate36.9%44.0%44.7%7.9% short
Shot accuracy12.4%11.6%11.9%above
Kill/death ratio0.951.031.040.09 short
Match win rate42.7%45.1%45.2%2.5% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMasterBaiterFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning53
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY53443Last 10053%Win rateWWWLLLLTWL

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression7.5
Utility3.6
Positioning5.3
Opening Duels2.7
Clutch3.6

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.

Your pro match

b1t

Plays most like b1t 86% playstyle similarity

Most alike: opening-fight frequency, 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

Reaction time. 553ms 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

Aim6.4
Positioning5.3
Utility3.6
Mechanics5.2
Opening Duels2.7
Win Impact2.6

Composite 4.8/10 (Developing), 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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time550ms−48ms
first ⅓ avg 598ms → last ⅓ avg 550ms
Headshot accuracy17.3%+0.6%
first ⅓ avg 16.7% → last ⅓ avg 17.3%

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.

Highlights

0.22Best rating — mirage 13–9
130Biggest win — overpass
8Longest win streak
W3Current streak
811In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 63% over 24ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA2415963%0.02
mirageA23131057%0.03
dust2A1912763%0.02
nukeB105550%-0.00
ancientD61517%0.03
cacheD62433%-0.02
anubisC52340%0.00
overpass41325%0.04
vertigo21150%0.06
train110100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

86,996Lifetime kills
0.95K/D
4,687Matches
42.7%Match win rate
36.9%Headshot %
12.4%Shot accuracy · Top 50% of Level 5 players
10,012MVPs
2,062Hours (in match)
3,817Bombs planted
1,126Bombs defused

Most-used weapons

AK-4720,803
AWP11,576
Negev2,865
P902,840
P2502,684
MAC-102,241

Lifetime map wins

13,773dust2
8,865inferno
1,907nuke
1,159office
1,092train
681cbble
607vertigo
156safehouse

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

Faceit stats

Combat

46Matches
48%Win rate
0.96Avg K/D
71.3ADR
41%Headshot %

Clutches & streaks

38%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient667%1.2215.3
Anubis560%0.9512.4
Inferno475%0.8314.5
Mirage333%0.6611.7
Nuke250%1.5816.5
Train250%1.1613.0
Dust21100%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.

17.1%Headshot accuracy
32.0%Accuracy (enemy spotted)
37.1%Spray accuracy
73.5%Counter-strafing
9.6°Preaim
553msReaction time
38.2%T opening success
43.8%CT opening success
0.43Enemies flashed / flash
3.0%Flash assists
7.53HE damage / grenade
2.78Flashes / 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 0.4322 — 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 38.1728% — below the 40% mark we flag

Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–80.0116%29 Aug
inferno13–60.0523%29 Aug
nuke13–11-0.0119%29 Aug
mirage14–160.0221%29 Aug
ancient1–13-0.0215%29 Aug
mirage10–13-0.0310%20 Aug
inferno6–130.0020%20 Aug
anubis15–150.0112%20 Aug
dust213–9-0.0111%20 Aug
mirage4–13-0.0015%19 Aug
anubis13–100.0211%19 Aug
anubis13–16-0.0516%18 Aug
mirage13–70.0216%18 Aug
inferno10–13-0.0617%18 Aug
nuke2–13-0.0224%17 Aug
nuke3–13-0.1021%15 Aug
inferno12–16-0.059%15 Aug
inferno13–2-0.0223%13 Aug
cache11–13-0.0418%13 Aug
vertigo12–120.0528%6 Jul
cache13–70.0315%6 Jul
mirage13–90.1024%4 Jul
overpass13–00.1521%4 Jul
nuke6–13-0.0114%4 Jul
dust213–20.0914%4 Jul
mirage16–14-0.0211%3 Jul
overpass0–40.040%3 Jul
ancient4–60.0330%3 Jul
nuke8–13-0.0221%3 Jul
dust21–13-0.0519%2 Jul
dust216–130.0211%2 Jul
inferno13–7-0.0324%2 Jul
dust213–6-0.0019%2 Jul
overpass12–160.037%30 Jun
inferno13–11-0.0015%30 Jun
mirage13–90.2218%28 Jun
dust23–130.0316%28 Jun
mirage2–130.0336%28 Jun
nuke13–100.0215%25 Jun
inferno13–60.0929%25 Jun
ancient11–13-0.0016%25 Jun
dust213–60.0927%25 Jun
ancient11–130.0313%24 Jun
inferno5–130.0717%24 Jun
mirage7–13-0.0213%24 Jun
mirage13–100.0616%24 Jun
dust25–130.0422%24 Jun
mirage6–13-0.0216%23 Jun
dust213–90.0114%22 Jun
nuke5–130.0114%22 Jun
inferno13–20.0417%22 Jun
dust210–13-0.0118%20 Jun
mirage7–13-0.0317%20 Jun
nuke13–110.0219%15 Jun
mirage13–40.036%15 Jun
dust213–80.0718%14 Jun
ancient13–90.1122%14 Jun
dust213–90.0414%14 Jun
dust213–40.0319%14 Jun
inferno13–50.1119%14 Jun
mirage13–70.0713%12 Jun
mirage11–13-0.0716%8 Jun
mirage13–80.0115%8 Jun
mirage13–90.0614%8 Jun
anubis6–130.0016%8 Jun
nuke13–60.0419%30 May
dust25–13-0.0213%30 May
inferno16–130.0317%30 May
inferno13–110.0328%30 May
dust213–90.0620%30 May
mirage13–110.008%29 May
ancient11–130.0218%26 May
inferno11–130.0617%25 May
inferno11–130.0224%25 May
nuke13–100.0518%25 May
inferno9–13-0.0715%25 May
cache9–130.0117%18 May
mirage10–130.0417%18 May
dust213–70.0520%16 May
mirage6–130.0117%16 May
inferno11–130.0522%16 May
inferno13–80.0912%12 May
dust25–13-0.0213%12 May
mirage13–110.0729%11 May
inferno13–30.047%11 May
cache12–12-0.0711%7 May
mirage13–60.1023%4 May
dust211–130.0726%4 May
inferno10–130.0216%4 May
cache9–13-0.039%4 May
inferno13–90.0711%3 May
inferno13–70.0215%3 May
cache13–7-0.0311%30 Apr
vertigo9–20.0721%25 Apr
inferno16–140.0212%25 Apr
anubis13–30.0518%25 Apr
train13–40.0523%22 Apr
overpass2–13-0.077%22 Apr
dust213–7-0.0514%22 Apr
inferno13–80.0112%21 Apr

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 →