JT

JT — CS2 Stats

DK76561199107579795[U:1:1147314067]Steam profile ↗✓ No bans

5,282Tracked matches60%Win rate2021Tracked since
3,410Hours in CS
CSDB Rating4.8 DevelopingSupport
Premier CS Rating14,326Blue band · top ~32% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,326 -16 3 Sept – 25 Oct · 38 days played
11,24514,999peak 14,9993 Sept25 Oct
14,999Peak Premier in tracked matches
1,306Highest Faceit ELO seen on CSDB
38Days played since 2026-09-03

Premier CS Rating

  • 673 below peak (14,999)
  • -40 over 30 days · steady
  • Next: Purple band at 15,000 — 674 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-03
  • Light Blue band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 rate32.0%43.8%44.8%12.8% short
Shot accuracy12.6%12.0%12.4%meets
Kill/death ratio0.961.021.030.08 short
Match win rate36.8%44.7%45.2%8.4% 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.GGJTFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,326 · Blue bandPEAK ELO1,306csdb.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

Aim51
Positioning47
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY46–53–1Last 10046%Win rateLLLWWWWLWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −0.4pp headshot accuracy · −23ms 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 -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 616ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 579ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 591ms

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 (+1.8 against its own average).

Aim5.1
Utility5.7
Positioning4.7
Opening Duels1.5
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

iM

Plays most like iM 76% 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

Reaction time. 610ms 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

Aim5.1
Positioning4.7
Utility5.7
Mechanics4.5
Opening Duels2.1
Win Impact8.3

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time600ms+37ms
first ⅓ avg 563ms → last ⅓ avg 600ms
Headshot accuracy10.3%−1.8%
first ⅓ avg 12.1% → last ⅓ avg 10.3%

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.

Personal bests

0.12Best match rating · 13–0 · nuke, 23 Oct →
30%Best headshot accuracy · 10–13 · mirage, 7 Oct →
367msFastest reaction time · 1–13 · mirage, 8 Oct →
13–0Biggest win · nuke, 23 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
6–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 68% over 25dust2Weakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
infernoS2517–868%0.01
nukeS1812–667%-0.00
dust2D152–1313%-0.02
ancientC156–940%-0.03
mirageD122–1017%-0.02
cacheC94–544%-0.00
anubisC52–340%-0.00
vertigo—11–0100%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

166,571Lifetime kills
0.96K/D
9,559Matches
36.8%Match win rate
32.0%Headshot %
12.6%Shot accuracy · Top 50% of Level 5 players
14,453MVPs
3,410Hours (in match)
9,382Bombs planted
1,684Bombs defused

Most-used weapons

AK-4731,340
AWP24,706
MAC-108,601
MP97,723
AUG7,148

Lifetime map wins

20,086inferno
19,860nuke
6,050vertigo
2,601dust2
1,348train
372lake
304safehouse
195ar_shoots

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

Faceit stats

Combat

489Matches
51%Win rate
0.92Avg K/D
75.3ADR
27%Headshot %

Clutches & streaks

39%1v1 clutch win
12%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno5456%1.1115.7
Nuke5262%1.1815.2
Ancient4347%1.0115.4
Vertigo3155%0.8714.1
Anubis1346%0.9012.8
Mirage1118%0.7812.2
Dust21155%0.8012.2
Cache1145%0.8813.0

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.

10.8%Headshot accuracy
37.6%Accuracy (enemy spotted)
40.0%Spray accuracy
70.2%Counter-strafing
11.7°Preaim
610msReaction time
31.0%T opening success
45.6%CT opening success
0.49Enemies flashed / flash
6.9%Flash assists
8.62HE damage / grenade
8.46Flashes / 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 10.8134% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4893 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 30.9524% — below the 40% mark we flag

Spend your practice time on Dust 2

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

13% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0313%25 Oct →
nuke6–13-0.079%24 Oct →
dust27–13-0.0513%24 Oct →
mirage13–9-0.0112%23 Oct →
nuke16–120.0712%23 Oct →
nuke13–00.1210%23 Oct →
dust213–50.0310%23 Oct →
ancient5–13-0.089%23 Oct →
cache13–10-0.019%23 Oct →
inferno6–20.0210%23 Oct →
dust25–130.0314%23 Oct →
mirage7–13-0.058%23 Oct →
inferno11–130.0610%23 Oct →
inferno13–9-0.0110%23 Oct →
inferno16–14-0.039%23 Oct →
inferno16–120.0211%22 Oct →
nuke7–13-0.0224%22 Oct →
cache13–11-0.013%22 Oct →
mirage11–13-0.0411%22 Oct →
mirage13–60.0110%22 Oct →
nuke13–70.0522%21 Oct →
ancient13–11-0.039%21 Oct →
dust213–50.026%19 Oct →
nuke11–130.028%19 Oct →
vertigo13–80.0516%19 Oct →
ancient13–110.0617%19 Oct →
ancient7–13-0.086%19 Oct →
inferno13–90.0010%18 Oct →
mirage10–130.023%18 Oct →
ancient13–50.0514%16 Oct →
dust27–13-0.104%15 Oct →
dust24–13-0.053%15 Oct →
inferno5–13-0.026%15 Oct →
nuke13–40.064%14 Oct →
dust28–130.0113%13 Oct →
dust210–130.0217%13 Oct →
nuke13–80.0010%12 Oct →
inferno15–15-0.024%11 Oct →
cache8–130.0010%11 Oct →
nuke13–3-0.0613%11 Oct →
anubis13–40.0613%11 Oct →
dust24–13-0.089%11 Oct →
nuke7–13-0.0314%10 Oct →
nuke9–13-0.078%10 Oct →
anubis7–13-0.027%9 Oct →
anubis11–13-0.0013%8 Oct →
inferno13–8-0.026%8 Oct →
inferno13–6-0.0319%8 Oct →
inferno9–13-0.065%8 Oct →
mirage1–13-0.0718%8 Oct →
nuke13–7-0.037%7 Oct →
inferno13–4-0.054%7 Oct →
mirage10–130.0130%7 Oct →
ancient13–70.0013%7 Oct →
mirage13–16-0.008%7 Oct →
ancient8–13-0.078%7 Oct →
dust22–13-0.0613%6 Oct →
dust211–130.0110%6 Oct →
mirage8–130.0111%4 Oct →
cache8–13-0.0111%2 Oct →
inferno11–13-0.0011%30 Sept →
dust29–13-0.0316%29 Sept →
nuke13–110.0212%27 Sept →
inferno13–90.0119%27 Sept →
inferno8–130.0313%26 Sept →
mirage3–130.0311%26 Sept →
cache5–13-0.034%26 Sept →
ancient10–13-0.0218%25 Sept →
inferno13–100.026%24 Sept →
inferno5–13-0.0610%24 Sept →
mirage1–13-0.1217%24 Sept →
anubis13–10-0.0112%23 Sept →
mirage7–13-0.0013%23 Sept →
inferno13–20.1116%23 Sept →
dust213–16-0.0313%23 Sept →
cache13–100.103%22 Sept →
inferno13–70.0611%21 Sept →
anubis8–13-0.058%21 Sept →
inferno13–60.0517%20 Sept →
ancient8–13-0.027%19 Sept →
inferno13–20.034%19 Sept →
nuke13–110.0213%18 Sept →
ancient13–9-0.0312%18 Sept →
nuke13–9-0.028%18 Sept →
nuke9–13-0.047%18 Sept →
cache7–13-0.0113%17 Sept →
dust27–130.029%17 Sept →
ancient2–13-0.0418%17 Sept →
cache3–13-0.067%17 Sept →
ancient13–10-0.0413%17 Sept →
nuke13–4-0.0320%17 Sept →
cache13–60.0127%14 Sept →
inferno13–10-0.0219%14 Sept →
nuke13–90.0011%14 Sept →
inferno13–50.1220%13 Sept →
inferno13–60.0418%13 Sept →
ancient0–13-0.060%12 Sept →
inferno10–130.0611%11 Sept →
ancient7–13-0.065%9 Sept →
ancient0–13-0.0515%9 Sept →

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 →

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