Baitman

Baitman — CS2 Stats

FI76561198259624709[U:1:299358981]Steam profile ↗✓ No bans

114Tracked matches40%Win rate2021Tracked since
CSDB Rating5.2 DevelopingSupport
CSDB Leaderboard#63203 of 234456 tracked
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. 54 days played since 19 Apr 2023. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,049 +5,449 4 May16 Jan · 6 days played
15,47621,369peak 21,3694 May16 Jan
21,369Peak Premier in tracked matches
54Days played since 2023-04-19

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

Performance scores

Aim67
Positioning52
Utility65

0–100 skill scores via Leetify.

Recent form

COLD50464Last 10050%Win rateLLLWLLLLLW

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · −8.1pp headshot accuracy · +35ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 9%
  • Avg reaction 619ms

Last 10

  • 28 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 9%
  • Avg reaction 572ms

Last 20

  • 713 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 554ms

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: SupportUtility contribution stands above the rest of this profile (+1 against its own average).

Aim6.7
Utility6.5
Positioning5.2
Opening Duels4.7

Effective flashes

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

ZywOo

Plays most like ZywOo 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.7
Positioning5.2
Utility6.5
Mechanics4.1
Opening Duels3.5
Win Impact1.7

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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time557ms−14ms
first ⅓ avg 571ms → last ⅓ avg 557ms
Headshot accuracy14.2%+4.2%
first ⅓ avg 10.1% → last ⅓ avg 14.2%

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

0.17Best match rating · 13–1 · ancient, 13 Apr
30%Best headshot accuracy · 11–13 · inferno, 16 Jan
375msFastest reaction time · 2–10 · mirage, 1 Feb
13–1Biggest win · mirage, 3 Apr

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
411In matches decided by ≤2 rounds
29Overtime games

Map breakdown

ancientBest map · 67% over 12nukeWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB28131546%0.01
mirageB28151354%0.00
ancientS128467%0.04
nukeD103730%0.01
overpassA85363%0.00
cacheC83538%-0.01
vertigo32167%-0.02
office110100%0.03
dust21010%0.02
anubis1010%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.4%Headshot accuracy
38.3%Accuracy (enemy spotted)
42.2%Spray accuracy
68.6%Counter-strafing
10.6°Preaim
550msReaction time
37.7%T opening success
50.3%CT opening success
0.75Enemies flashed / flash
7.3%Flash assists
7.20HE damage / grenade
10.34Flashes / 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 14.4093% — below the 15% mark we flag

    Aim Training
  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 37.7155% — below the 40% mark we flag

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.

30% 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
nuke7–130.1119%20 Jul
inferno8–13-0.026%14 Jul
inferno9–13-0.038%29 Mar
inferno13–60.086%29 Mar
mirage10–130.089%23 Mar
inferno10–13-0.043%23 Mar
ancient13–160.0121%23 Mar
inferno11–130.016%23 Mar
mirage4–13-0.007%14 Mar
inferno16–130.0310%6 Feb
overpass13–90.0218%3 Feb
ancient13–70.0113%3 Feb
mirage2–10-0.0115%1 Feb
mirage8–13-0.0217%23 Jan
inferno11–130.0830%16 Jan
mirage11–13-0.0512%16 Jan
inferno5–130.0217%15 Jan
inferno13–5-0.0314%12 Jan
mirage13–60.1426%11 Jan
inferno16–120.0212%11 Jan
inferno8–130.0123%11 Jan
nuke1–13-0.0122%10 Jan
inferno11–130.0615%7 Jan
nuke4–130.0319%7 Jan
mirage8–13-0.0413%5 Jan
inferno13–9-0.0215%5 Jan
office13–110.0321%22 Dec
nuke13–10-0.0517%22 Dec
inferno13–30.0611%22 Dec
ancient13–50.098%22 Dec
inferno8–13-0.0411%22 Dec
overpass13–11-0.0413%21 Dec
nuke13–3-0.0513%21 Dec
inferno13–90.1515%21 Dec
nuke13–50.0225%21 Dec
nuke6–13-0.0520%20 Dec
overpass13–7-0.029%20 Dec
inferno13–70.0614%20 Dec
ancient13–40.0622%20 Dec
mirage2–13-0.087%28 Nov
dust211–130.0225%5 May
nuke14–16-0.0113%4 May
inferno9–13-0.0122%27 Apr
nuke1–13-0.0121%15 Apr
mirage13–90.0212%12 Apr
ancient10–13-0.0528%12 Apr
mirage13–30.0320%11 Apr
ancient13–30.0515%10 Apr
inferno13–40.049%10 Apr
mirage13–6-0.0311%10 Apr
nuke15–150.0717%6 Apr
mirage13–100.0310%6 Apr
ancient10–13-0.0114%4 Apr
vertigo13–4-0.0221%4 Apr
mirage13–10.0810%3 Apr
ancient13–40.0317%10 May
mirage13–100.0517%10 May
mirage12–12-0.0312%6 May
vertigo1–9-0.1123%27 Apr
mirage13–100.0320%24 Apr
ancient13–50.0823%24 Apr
mirage5–130.0322%13 Apr
inferno9–130.0317%13 Apr
ancient13–10.1713%13 Apr
mirage13–5-0.0015%13 Apr
mirage9–13-0.0017%13 Mar
mirage7–13-0.0915%13 Mar
mirage13–7-0.0018%13 Mar
mirage13–20.0712%13 Mar
cache10–16-0.059%19 Jul
cache16–60.0018%13 Jul
cache6–9-0.0211%13 Jul
cache14–160.0116%8 Jul
overpass5–16-0.079%6 Jul
ancient16–40.017%6 Jul
mirage9–16-0.065%6 Jul
overpass7–90.057%5 Jul
cache9–6-0.059%5 Jul
inferno9–3-0.013%5 Jul
mirage16–10-0.0111%4 Jul
inferno14–16-0.055%4 Jul
anubis7–9-0.0210%3 Jul
cache15–15-0.0313%1 Jul
mirage16–9-0.029%1 Jul
inferno8–16-0.005%30 Jun
inferno15–15-0.057%15 Jun
overpass10–160.0111%7 May
inferno16–110.0014%7 May
cache9–160.0217%7 May
ancient12–16-0.007%6 May
inferno16–13-0.0111%1 May
cache16–140.0711%26 Apr
inferno9–16-0.019%25 Apr
overpass16–80.056%25 Apr
mirage16–100.026%25 Apr
mirage14–16-0.0913%23 Apr
mirage9–7-0.0120%20 Apr
overpass16–130.0110%19 Apr
vertigo16–40.068%19 Apr
inferno7–20.009%19 Apr

Match data via Leetify.

Recent teammates

Milestones

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