Master Baiter

Master Baiter — CS2 Stats

US76561198172125775[U:1:211860047]Steam profile ↗✓ No bans

1,385Tracked matches48%Win rate2023Tracked since
1,736Hours in CS1Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 1,385
−3.4ppWin rate · 51.7% → 48.3%

Rating over time

Premier CS Rating: 19,736 -163 5 Mar – 21 Jun · 37 days played
17,22820,889peak 20,8895 Mar21 Jun
20,889Peak Premier in tracked matches
56Days played since 2026-03-05

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches2——
Win rate50%——
K/D1.11——
Headshot %43%——

Measured 21 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,220), 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 7 medianLevel 8 medianvs Level 8
Headshot rate34.7%45.7%46.8%12.1% short
Shot accuracy11.7%12.7%13.0%1.3% short
Kill/death ratio0.941.051.060.12 short
Match win rate45.5%45.7%46.3%meets

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMaster BaiterFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.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

Aim68
Positioning56
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateWLWLLWLLWL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +1.2pp headshot accuracy · +25ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 627ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 627ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 614ms

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 Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim6.8
Utility4.0
Positioning5.6
Opening Duels2.4
Clutch3.2

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.

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

donk

Plays most like donk 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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 48% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms 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

Aim6.8
Positioning5.6
Utility4.0
Mechanics5.3
Opening Duels2.3
Win Impact4.4

Composite 5.2/10 (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 rating-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time613ms−9ms
first ⅓ avg 621ms → last ⅓ avg 613ms
Headshot accuracy16.2%−5.5%
first ⅓ avg 21.7% → last ⅓ avg 16.2%

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

0.13Best match rating · 13–5 · nuke, 11 Apr →
45%Best headshot accuracy · 13–8 · dust2, 13 Mar →
438msFastest reaction time · 9–13 · inferno, 5 Apr →
13–1Biggest win · mirage, 31 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 50% over 22ancientWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB2211–1150%0.02
dust2B2210–1245%-0.01
nukeB199–1047%-0.00
ancientC156–940%0.01
infernoB115–645%0.01
cache—41–325%0.00
overpass—30–30%-0.06
office—20–20%-0.05
anubis—22–0100%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,381Lifetime kills
0.94K/D
2,682Matches
45.5%Match win rate
34.7%Headshot %
11.7%Shot accuracy
5,144MVPs
1,030Hours (in match)
2,451Bombs planted
709Bombs defused

Most-used weapons

Lifetime map wins

9,852dust2
2,227nuke
2,102inferno
522vertigo
169office
125train
40cbble
7assault

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

Faceit stats

Combat

55Matches
53%Win rate
1.03Avg K/D
72.0ADR
37%Headshot %

Clutches & streaks

36%1v1 clutch win
24%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust21250%0.8713.4
Mirage1060%1.2116.2
Nuke888%1.4716.8
Ancient825%1.0217.0
Cache560%1.0015.0
Inferno333%0.7511.7
Overpass333%0.719.3
Anubis250%1.1914.5

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.

16.5%Headshot accuracy
35.1%Accuracy (enemy spotted)
38.5%Spray accuracy
74.0%Counter-strafing
8.6°Preaim
599msReaction time
29.6%T opening success
48.5%CT opening success
0.65Enemies flashed / flash
7.0%Flash assists
5.43HE damage / grenade
4.40Flashes / 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

    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 29.6446% — 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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–14-0.0314%7 Oct →
inferno14–160.0217%23 Sept →
mirage13–10.0625%31 Aug →
ancient4–130.0014%18 Aug →
nuke2–13-0.0816%18 Aug →
inferno13–110.0829%17 Aug →
dust27–13-0.0513%31 Jul →
mirage5–130.0711%31 Jul →
ancient13–10.0627%22 Jul →
dust25–13-0.056%13 Jul →
mirage15–15-0.0010%9 Jul →
cache7–130.0318%9 Jul →
dust216–14-0.0523%21 Jun →
dust23–13-0.0727%21 Jun →
dust213–40.0013%17 Jun →
nuke13–80.025%13 Jun →
mirage13–110.0113%5 Jun →
mirage13–10-0.0116%4 Jun →
dust211–13-0.0221%31 May →
nuke10–130.0114%21 May →
overpass10–130.0117%20 May →
ancient4–13-0.029%19 May →
dust213–9-0.0121%19 May →
mirage13–50.0919%19 May →
ancient1–13-0.087%7 May →
dust213–110.0118%5 May →
cache10–13-0.0115%4 May →
overpass8–13-0.160%2 May →
nuke13–11-0.0121%1 May →
nuke13–100.0424%1 May →
mirage13–100.0723%30 Apr →
cache16–120.0619%30 Apr →
cache11–13-0.0711%29 Apr →
ancient13–110.0817%29 Apr →
ancient9–130.0419%29 Apr →
nuke13–80.0126%28 Apr →
nuke13–3-0.0011%28 Apr →
dust211–13-0.038%28 Apr →
ancient7–130.0118%28 Apr →
dust212–16-0.098%28 Apr →
ancient12–16-0.0122%18 Apr →
dust213–11-0.0131%16 Apr →
mirage13–20.0118%14 Apr →
nuke8–13-0.0129%14 Apr →
mirage5–130.079%13 Apr →
mirage9–130.0523%12 Apr →
dust210–130.0327%11 Apr →
nuke13–50.1310%11 Apr →
ancient13–100.0729%11 Apr →
dust27–13-0.0530%10 Apr →
ancient6–13-0.0426%10 Apr →
mirage6–13-0.0232%9 Apr →
inferno4–13-0.0314%8 Apr →
dust213–11-0.0510%8 Apr →
office8–13-0.0320%7 Apr →
nuke5–13-0.0319%7 Apr →
inferno9–130.0615%5 Apr →
inferno7–13-0.0535%5 Apr →
ancient13–90.0323%3 Apr →
anubis13–10-0.0114%3 Apr →
anubis13–90.0215%3 Apr →
mirage13–30.0530%3 Apr →
dust213–60.0640%2 Apr →
dust22–13-0.0625%2 Apr →
dust213–50.0328%2 Apr →
inferno13–6-0.0617%1 Apr →
mirage13–40.0616%1 Apr →
overpass14–16-0.0215%24 Mar →
nuke11–13-0.0636%24 Mar →
ancient13–10-0.0119%23 Mar →
dust213–6-0.033%23 Mar →
inferno7–13-0.0230%23 Mar →
mirage13–10-0.0229%22 Mar →
nuke16–140.0033%22 Mar →
nuke13–100.0217%22 Mar →
nuke13–70.0024%21 Mar →
ancient14–160.0133%20 Mar →
mirage15–150.0227%20 Mar →
inferno13–11-0.0117%19 Mar →
nuke15–15-0.0215%19 Mar →
office9–13-0.0624%18 Mar →
mirage5–13-0.0328%18 Mar →
mirage7–130.0016%17 Mar →
dust212–120.0725%17 Mar →
mirage6–13-0.054%16 Mar →
nuke7–130.0017%16 Mar →
inferno13–30.1023%16 Mar →
nuke7–13-0.0331%15 Mar →
nuke13–160.0329%15 Mar →
nuke5–13-0.067%14 Mar →
dust210–13-0.0119%14 Mar →
mirage11–13-0.0521%13 Mar →
dust213–80.1145%13 Mar →
dust25–13-0.0633%12 Mar →
mirage10–13-0.048%12 Mar →
mirage13–60.009%11 Mar →
ancient13–10-0.0116%10 Mar →
inferno7–130.0217%10 Mar →
ancient10–13-0.0222%5 Mar →
mirage13–100.0025%5 Mar →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.