MayorOfJtown

MayorOfJtown — CS2 Stats

76561198931376149[U:1:971110421]Steam profile ↗✓ No bans

1,335Tracked matches52%Win rate2020Tracked since
CSDB Rating5.3 DevelopingPositional Player
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,335 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 46 days played since 8 Mar 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,447 +4,939 24 Jul22 Apr · 6 days played
15,50820,447peak 20,44724 Jul22 Apr
20,556Peak Premier in tracked matches
46Days played since 2024-03-08

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

Share this profile

CSDB.GGMayorOfJtownFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning43
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY55423Last 10055%Win rateTLLLWWLWWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −5.0pp headshot accuracy · +49ms reaction

Win rate 0pp 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

  • 131 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 709ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 695ms

Last 20

  • 8111 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 670ms

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 PlayerPositioning stands above the rest of this profile (+1.2 against its own average).

Aim6.5
Utility4.1
Positioning4.3
Opening Duels0.4
Clutch3.8

Strong CT-side opener

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

sh1ro

Plays most like sh1ro 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 40% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 646ms 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

Aim6.5
Positioning4.3
Utility4.1
Mechanics7.7
Opening Duels1.2
Win Impact5.6

Composite 5.3/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time653ms+19ms
first ⅓ avg 634ms → last ⅓ avg 653ms
Headshot accuracy24.9%+8.7%
first ⅓ avg 16.3% → last ⅓ avg 24.9%

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

0.15Best match rating · 13–9 · dust2, 9 Aug
50%Best headshot accuracy · 13–10 · anubis, 8 Apr
438msFastest reaction time · 13–9 · nuke, 8 Apr
13–0Biggest win · dust2, 6 Jun

Across the last 100 tracked matches.

Highlights

7Longest win streak
1013In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 70% over 27infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
nukeS2719870%0.00
infernoD1551033%-0.03
ancientA148657%-0.01
anubisA138562%-0.01
dust2A127558%0.01
mirageC73443%-0.01
vertigoA53260%-0.03
overpass31233%0.01
cache2020%-0.03
train21150%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,212Matches
50%Win rate
0.95Avg K/D
71.4ADR
36%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke6866%1.0213.9
Ancient5942%0.8912.7
Anubis3949%0.8312.7
Mirage3746%0.9513.9
Dust22227%0.9514.9
Inferno2133%0.8313.4
Vertigo1136%0.8313.1
Overpass729%0.8914.1

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.

25.2%Headshot accuracy
32.2%Accuracy (enemy spotted)
34.5%Spray accuracy
84.5%Counter-strafing
12.0°Preaim
646msReaction time
15.4%T opening success
39.9%CT opening success
0.51Enemies flashed / flash
9.6%Flash assists
7.27HE damage / grenade
6.19Flashes / 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 15.3744% — below the 40% mark we flag

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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache12–12-0.0217%9 May
cache11–13-0.0519%9 May
inferno2–13-0.0610%9 May
inferno11–13-0.0318%22 Apr
nuke13–70.1028%22 Apr
anubis13–10-0.0350%8 Apr
nuke12–16-0.0120%8 Apr
nuke13–9-0.0628%8 Apr
nuke13–90.0430%28 Mar
inferno0–13-0.0617%28 Mar
overpass3–130.0226%27 Mar
anubis13–50.0324%27 Mar
ancient9–13-0.0717%27 Mar
mirage9–13-0.0229%26 Mar
nuke7–13-0.0444%25 Mar
inferno7–13-0.0623%25 Mar
nuke13–100.0130%25 Mar
inferno7–13-0.0329%22 Mar
mirage16–120.0129%22 Mar
nuke13–100.0334%15 Mar
inferno10–13-0.0618%15 Mar
inferno13–5-0.0414%6 Mar
anubis13–70.0033%2 Mar
inferno13–90.0322%11 Aug
dust213–8-0.0625%11 Aug
inferno9–13-0.0124%11 Aug
dust213–30.0527%11 Aug
nuke11–13-0.0422%11 Aug
inferno13–6-0.0121%30 Jul
nuke13–70.0123%30 Jul
mirage11–13-0.0426%30 Jul
ancient13–50.0332%30 Jul
nuke6–12-0.0615%29 May
anubis8–13-0.0438%29 May
train13–5-0.0016%29 May
nuke7–13-0.1032%21 Apr
ancient13–11-0.0334%21 Apr
anubis13–5-0.0119%21 Apr
nuke8–8-0.0511%27 Mar
anubis13–50.0121%22 Mar
dust213–110.0226%22 Mar
nuke11–13-0.0027%22 Mar
inferno8–13-0.0617%21 Mar
train3–13-0.0712%21 Mar
inferno14–160.049%9 Aug
vertigo4–4-0.0310%9 Aug
dust213–90.1527%9 Aug
mirage6–13-0.0310%9 Aug
anubis13–110.048%9 Aug
mirage6–13-0.0512%9 Aug
ancient7–130.0411%31 Jul
dust211–13-0.0428%31 Jul
anubis3–13-0.0624%31 Jul
inferno13–11-0.0615%30 Jul
nuke13–30.1524%30 Jul
dust213–60.0418%30 Jul
mirage13–100.0317%30 Jul
anubis11–130.0511%24 Jul
nuke13–80.1015%23 Jul
nuke13–100.0118%23 Jul
ancient13–60.0629%22 Jul
dust214–16-0.0216%8 Jul
dust26–13-0.0415%6 Jul
ancient14–16-0.0512%30 Jun
mirage16–14-0.0018%18 Jun
dust211–130.0213%15 Jun
vertigo16–14-0.0218%14 Jun
dust25–130.0018%14 Jun
vertigo4–13-0.099%11 Jun
ancient6–0-0.0729%11 Jun
nuke7–13-0.0925%10 Jun
dust213–0-0.0038%6 Jun
nuke13–30.0124%30 May
nuke13–20.0415%30 May
nuke13–10-0.0218%30 May
nuke19–150.0218%30 May
ancient13–11-0.0224%29 May
nuke13–20.088%29 May
vertigo12–12-0.0312%26 May
overpass13–7-0.0110%26 May
nuke13–60.0215%14 May
ancient11–13-0.0612%14 May
ancient4–130.0110%14 May
ancient13–60.0713%12 May
nuke13–9-0.0015%12 May
anubis13–11-0.093%8 May
dust216–140.0218%6 May
ancient13–40.0125%6 May
vertigo13–9-0.005%29 Apr
ancient7–13-0.0426%17 Apr
anubis11–130.0018%13 Apr
nuke16–13-0.0620%11 Apr
nuke13–7-0.017%11 Apr
nuke16–13-0.0322%11 Apr
inferno6–12-0.027%8 Apr
anubis9–130.0118%8 Apr
overpass13–160.0214%8 Mar
inferno13–90.0217%8 Mar
ancient13–100.0213%8 Mar
anubis13–7-0.0311%8 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 →