Tr0nYx

Tr0nYx — CS2 Stats

JP76561197966945717[U:1:6679989]Steam profile ↗✓ No bans

2,244Tracked matches40%Win rate2020Tracked since
6,334Hours in CS9Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
Premier CS Rating19,384Top 50% of 200,982 CSDB-tracked playersPurple band · top ~10.9% of ranked players (population est.)
CSDB Leaderboard#89786 of 247851 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 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: 19,384 -1,342 1 Jul – 27 Sept · 24 days played
17,28121,901peak 21,9011 Jul27 Sept
22,141Peak Premier in tracked matches
37Days played since 2026-07-01

Premier CS Rating

  • 2,517 below peak (21,901)
  • +1,420 over 30 days · improving
  • -1,342 over 90 days
  • Next: Pink band at 20,000 — 616 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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
Matches28——
Win rate50%——
K/D1.10——
Headshot %53%——

Measured 4 Sep 2026 → 1 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate44.5%44.3%46.9%2.4% short
Shot accuracy16.0%11.9%13.0%above
Kill/death ratio1.141.031.08above
Match win rate44.0%45.2%46.7%2.7% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGTr0nYxPREMIER19,384 · Purple bandcsdb.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

Aim83
Positioning67
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY36–60–4Last 10036%Win rateLLLWLLLWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +6.0pp headshot accuracy · −32ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 27%
  • Avg reaction 637ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 618ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 634ms

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 (+1.5 against its own average).

Aim8.3
Utility6.3
Positioning6.7
Opening Duels5.3
Clutch2.4

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

jL

Plays most like jL 95% playstyle similarity

Most alike: opening-duel success, utility contribution.

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 60% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 625ms 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

Aim8.3
Positioning6.7
Utility6.3
Mechanics8.2
Opening Duels5.2
Win Impact1.7

Composite 6.7/10 (Solid), 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+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time629ms−41ms
first ⅓ avg 670ms → last ⅓ avg 629ms
Headshot accuracy22.6%+1.8%
first ⅓ avg 20.8% → last ⅓ avg 22.6%

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

0.22Best match rating · 13–0 · office, 15 Jul →
46%Best headshot accuracy · 8–13 · inferno, 15 Aug →
398msFastest reaction time · 3–13 · nuke, 21 Aug →
13–0Biggest win · office, 15 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
7–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 41% over 22cacheWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2D4415–2934%0.01
infernoC229–1341%0.00
ancientC177–1041%-0.00
cacheD93–633%-0.01
nuke—30–30%-0.02
anubis—21–150%-0.04
mirage—20–20%-0.04
office—11–0100%0.22

Across the last 100 tracked matches.

Lifetime stats

186,570Lifetime kills
1.14K/D · Top 50% of Purple band
8,300Matches
44.0%Match win rate
44.5%Headshot % · Top 50% of Purple band
16.0%Shot accuracy · Top 25% of Purple band
22,066MVPs
3,588Hours (in match)
6,706Bombs planted
2,086Bombs defused

Most-used weapons

AK-4754,777
AWP43,506
P2502,656
Knife2,244
FAMAS2,087

Lifetime map wins

62,029dust2
5,715inferno
2,450cbble
2,438nuke
550vertigo
519train
177office
39italy

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

Faceit stats

Combat

73Matches
55%Win rate
1.00Avg K/D
75.0ADR
47%Headshot %

Clutches & streaks

32%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21070%1.1616.7
Inferno850%0.9013.8
Anubis683%0.9914.0
Nuke6100%1.2314.3
Ancient40%0.7211.0
Mirage30%0.9723.3
Overpass1100%0.6111.0
Cache1100%0.8315.0

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.

22.7%Headshot accuracy
37.9%Accuracy (enemy spotted)
33.3%Spray accuracy
86.8%Counter-strafing
7.9°Preaim
625msReaction time
42.5%T opening success
59.5%CT opening success
0.64Enemies flashed / flash
7.9%Flash assists
11.18HE damage / grenade
6.98Flashes / match

Recommended for you

Spend your practice time on Cache

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 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis12–16-0.0626%27 Sept →
ancient8–13-0.0131%27 Sept →
dust29–13-0.0028%19 Sept →
dust213–40.0324%19 Sept →
dust28–130.0626%19 Sept →
ancient10–130.0426%11 Sept →
inferno2–13-0.0024%10 Sept →
anubis13–10-0.0122%6 Sept →
cache13–10-0.0318%6 Sept →
ancient16–140.0625%6 Sept →
inferno13–10-0.0410%6 Sept →
inferno4–13-0.018%5 Sept →
mirage3–13-0.0329%5 Sept →
dust213–6-0.0123%5 Sept →
inferno9–130.0322%5 Sept →
inferno13–60.0826%2 Sept →
dust210–130.0412%2 Sept →
dust211–130.1017%2 Sept →
inferno8–13-0.0215%1 Sept →
dust22–130.0027%1 Sept →
inferno13–60.0827%31 Aug →
ancient13–70.047%31 Aug →
ancient9–130.0124%31 Aug →
dust28–130.0331%31 Aug →
ancient5–13-0.0418%30 Aug →
dust213–100.1138%30 Aug →
ancient11–130.0322%30 Aug →
dust28–130.0022%30 Aug →
dust213–9-0.0128%30 Aug →
dust213–110.0424%30 Aug →
inferno10–13-0.0124%29 Aug →
dust210–13-0.0019%29 Aug →
cache7–13-0.0122%29 Aug →
dust216–130.0223%29 Aug →
dust210–13-0.0224%29 Aug →
inferno15–15-0.0314%28 Aug →
inferno13–100.0234%28 Aug →
dust213–90.0530%28 Aug →
dust216–14-0.0225%28 Aug →
dust24–130.0223%28 Aug →
cache7–130.0431%27 Aug →
ancient1–13-0.0715%25 Aug →
inferno3–13-0.0225%25 Aug →
inferno13–80.0424%25 Aug →
cache11–130.0313%24 Aug →
inferno5–13-0.0512%24 Aug →
dust24–130.0420%24 Aug →
cache1–13-0.0139%24 Aug →
inferno5–13-0.059%21 Aug →
nuke3–13-0.076%21 Aug →
dust213–4-0.0214%21 Aug →
dust28–13-0.0120%21 Aug →
dust24–13-0.0230%20 Aug →
dust215–15-0.0311%19 Aug →
ancient9–130.0326%19 Aug →
inferno11–130.0124%18 Aug →
cache4–13-0.0821%18 Aug →
ancient10–13-0.0021%18 Aug →
inferno8–13-0.0246%15 Aug →
inferno4–130.0120%14 Aug →
nuke5–13-0.0114%14 Aug →
ancient10–7-0.0118%14 Aug →
cache10–13-0.0516%14 Aug →
ancient13–70.0119%10 Aug →
dust213–60.0622%10 Aug →
ancient13–8-0.0415%10 Aug →
ancient5–13-0.0418%8 Aug →
mirage7–13-0.0424%8 Aug →
dust29–130.0433%6 Aug →
dust211–13-0.0229%5 Aug →
dust27–13-0.0324%5 Aug →
inferno13–100.0328%5 Aug →
dust26–130.0531%4 Aug →
inferno16–14-0.0426%4 Aug →
dust215–15-0.0613%4 Aug →
dust211–130.0330%28 Jul →
dust28–130.0122%21 Jul →
cache13–100.0114%20 Jul →
dust29–13-0.078%20 Jul →
ancient13–50.0713%20 Jul →
office13–00.2219%15 Jul →
dust210–13-0.0318%12 Jul →
nuke6–130.0216%12 Jul →
inferno13–60.0423%12 Jul →
ancient4–13-0.0611%12 Jul →
dust213–110.0123%12 Jul →
inferno13–3-0.0021%12 Jul →
inferno8–13-0.0214%10 Jul →
dust27–13-0.0115%10 Jul →
ancient16–13-0.0411%9 Jul →
dust215–150.0023%9 Jul →
cache13–60.0419%9 Jul →
dust211–130.0121%8 Jul →
dust24–130.0124%8 Jul →
dust213–70.0821%7 Jul →
dust29–130.0721%7 Jul →
dust213–110.0325%7 Jul →
dust212–30.0524%7 Jul →
dust213–11-0.0015%5 Jul →
dust23–130.0026%1 Jul →

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.