Jaiteezy

Jaiteezy — CS2 Stats

76561198181902895[U:1:221637167]Steam profile ↗✓ No bans

595Tracked matches55%Win rate2020Tracked since
CSDB Rating5.0 DevelopingSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 15,601 +143 30 Sept – 9 Nov · 23 days played
14,68116,980peak 16,98030 Sept9 Nov
17,393Peak Premier in tracked matches
27Days played since 2025-09-30

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

Performance scores

Aim52
Positioning51
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateWLLWWLWWWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −1.5pp headshot accuracy · +34ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 16%
  • Avg reaction 572ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 592ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 575ms

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

Aim5.2
Utility5.4
Positioning5.1
Opening Duels2.7

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

Twistzz

Plays most like Twistzz 81% 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 44% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 562ms 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

Aim5.2
Positioning5.1
Utility5.4
Mechanics5.1
Opening Duels1.7
Win Impact6.7

Composite 5.0/10 (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 time561ms−22ms
first ⅓ avg 583ms → last ⅓ avg 561ms
Headshot accuracy15.7%−2.4%
first ⅓ avg 18.1% → last ⅓ avg 15.7%

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

0.16Best match rating · 13–1 · cache, 15 Sept →
38%Best headshot accuracy · 13–5 · inferno, 1 Nov →
438msFastest reaction time · 13–9 · office, 24 Oct →
13–1Biggest win · cache, 15 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

officeBest map · 71% over 7ancientWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
infernoA2514–1156%-0.01
nukeB168–850%-0.01
ancientD153–1220%-0.02
overpassA149–564%0.01
dust2A95–456%-0.02
officeS75–271%-0.02
mirageA53–260%-0.00
trainC52–340%-0.03
vertigo—20–20%-0.02
cache—11–0100%0.16
golden—10–10%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Ancient 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.

15.4%Headshot accuracy
32.2%Accuracy (enemy spotted)
31.8%Spray accuracy
72.9%Counter-strafing
11.0°Preaim
562msReaction time
25.3%T opening success
43.6%CT opening success
0.58Enemies flashed / flash
6.8%Flash assists
8.56HE damage / grenade
6.45Flashes / 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 25.3341% — 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.

20% 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
nuke13–80.0721%25 Sept →
mirage4–13-0.0214%15 Sept →
inferno0–13-0.0510%15 Sept →
cache13–10.1618%15 Sept →
mirage8–10.0518%15 Sept →
train10–13-0.028%9 Nov →
dust213–20.0032%7 Nov →
overpass13–7-0.0216%4 Nov →
office13–4-0.026%3 Nov →
dust213–16-0.0323%3 Nov →
ancient11–13-0.034%1 Nov →
nuke13–9-0.0315%1 Nov →
inferno13–80.0213%1 Nov →
mirage13–6-0.0014%1 Nov →
nuke10–13-0.0320%1 Nov →
inferno13–50.0138%1 Nov →
inferno13–9-0.0126%1 Nov →
overpass13–5-0.0316%1 Nov →
inferno9–13-0.0217%1 Nov →
office12–12-0.0416%31 Oct →
office13–11-0.0314%31 Oct →
ancient10–13-0.0114%29 Oct →
inferno13–10.0310%29 Oct →
nuke13–80.0314%29 Oct →
overpass10–130.007%29 Oct →
ancient11–13-0.0622%29 Oct →
ancient11–130.0312%27 Oct →
inferno10–13-0.0119%26 Oct →
inferno9–13-0.074%26 Oct →
ancient13–30.015%26 Oct →
nuke13–110.0220%26 Oct →
nuke16–12-0.0116%25 Oct →
overpass13–9-0.0218%25 Oct →
overpass9–130.0111%25 Oct →
ancient13–6-0.0211%25 Oct →
train10–13-0.049%25 Oct →
nuke7–130.0413%25 Oct →
ancient4–13-0.0216%25 Oct →
inferno13–11-0.0418%25 Oct →
inferno3–13-0.0121%25 Oct →
vertigo8–13-0.0224%24 Oct →
office13–9-0.0211%24 Oct →
office13–6-0.0011%24 Oct →
nuke10–13-0.0422%24 Oct →
vertigo8–13-0.0221%22 Oct →
dust25–13-0.0129%21 Oct →
inferno5–13-0.0721%21 Oct →
inferno13–50.0316%21 Oct →
overpass16–130.016%21 Oct →
nuke10–13-0.0617%19 Oct →
inferno7–130.0418%19 Oct →
nuke6–13-0.069%18 Oct →
train16–12-0.0311%18 Oct →
dust25–13-0.025%18 Oct →
overpass13–7-0.025%18 Oct →
dust216–14-0.0219%18 Oct →
overpass13–50.0617%18 Oct →
inferno13–100.0317%18 Oct →
office8–13-0.0410%17 Oct →
inferno6–130.0012%17 Oct →
overpass13–40.0025%17 Oct →
overpass11–130.0111%17 Oct →
overpass10–130.0513%17 Oct →
inferno13–9-0.0227%17 Oct →
inferno13–10-0.0219%17 Oct →
ancient9–13-0.1113%17 Oct →
inferno13–10-0.0413%17 Oct →
dust213–11-0.0313%16 Oct →
ancient10–130.0115%16 Oct →
train13–11-0.0121%16 Oct →
overpass13–4-0.0115%16 Oct →
ancient8–13-0.0217%16 Oct →
nuke13–11-0.0218%16 Oct →
inferno12–60.0319%16 Oct →
nuke5–13-0.099%16 Oct →
inferno9–130.0330%14 Oct →
nuke13–70.0214%13 Oct →
overpass13–90.0017%13 Oct →
mirage9–13-0.0520%6 Oct →
inferno8–13-0.0627%5 Oct →
ancient8–13-0.0713%4 Oct →
dust213–110.0119%4 Oct →
inferno13–7-0.0526%4 Oct →
nuke13–70.0116%4 Oct →
ancient14–160.0523%4 Oct →
ancient13–100.0116%4 Oct →
nuke7–13-0.0019%4 Oct →
ancient7–13-0.0224%3 Oct →
dust213–100.0113%3 Oct →
train11–13-0.0417%3 Oct →
office13–8-0.0116%3 Oct →
golden8–130.0317%3 Oct →
nuke9–130.0618%3 Oct →
inferno16–130.0212%3 Oct →
mirage13–8-0.0014%3 Oct →
dust28–13-0.0717%3 Oct →
ancient9–13-0.0626%3 Oct →
overpass11–130.0321%2 Oct →
inferno13–110.0314%2 Oct →
inferno15–15-0.0318%30 Sept →

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 →

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