tr0nic

tr0nic — CS2 Stats

IQ76561199090527950[U:1:1130262222]Steam profile ↗✓ No bans

1,674Tracked matches43%Win rate2023Tracked since
3,932Hours in CS31Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating16,490Purple band · top ~22.5% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 2026 (8 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: 16,490 -1,516 10 Sept – 7 Nov · 30 days played
15,89718,638peak 18,63810 Sept7 Nov
18,697Peak Premier in tracked matches
48Days played since 2026-09-10

Premier CS Rating

  • 2,148 below peak (18,638)
  • -66 over 30 days · steady
  • Next: Pink band at 20,000 — 3,510 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-10
  • Blue band first seen 2026-09-10

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

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 rate48.3%44.4%46.9%above
Shot accuracy1.3%11.9%13.0%11.7% short
Kill/death ratio0.901.031.080.18 short
Match win rate45.7%45.2%46.7%1.0% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGtr0nicPREMIER16,490 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning62
Utility32

0–100 skill scores via Leetify.

Recent form

COLD45–46–9Last 10045%Win rateLTWLLWLLWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −0.9pp headshot accuracy · −32ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 480ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 528ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 544ms

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 (+1.4 against its own average).

Aim7.5
Utility3.2
Positioning6.2
Opening Duels5.0

Limited utility dependence

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

donk

Plays most like donk 90% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 553ms 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

Aim7.5
Positioning6.2
Utility3.2
Mechanics7.5
Opening Duels6.0
Win Impact2.6

Composite 6.0/10 (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 0.00 → last ⅓ avg 0.01
Reaction time547ms−3ms
first ⅓ avg 550ms → last ⅓ avg 547ms
Headshot accuracy17.5%+1.4%
first ⅓ avg 16.1% → last ⅓ avg 17.5%

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

0.20Best match rating · 13–10 · cache, 22 Oct →
47%Best headshot accuracy · 13–4 · inferno, 13 Oct →
391msFastest reaction time · 13–9 · dust2, 1 Oct →
13–1Biggest win · nuke, 8 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 51% over 35anubisWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B3518–1751%0.00
mirageB157–847%-0.01
infernoB147–750%0.01
anubisC114–736%0.00
cacheC104–640%0.04
nukeC104–640%0.00
ancient—41–325%-0.01
office—10–10%-0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,748Lifetime kills
0.90K/D
5,169Matches
45.7%Match win rate · Top 50% of Purple band
48.3%Headshot % · Top 50% of Purple band
1.3%Shot accuracy
12,642MVPs
1,503Hours (in match)
4,411Bombs planted
1,257Bombs defused

Most-used weapons

AK-4718,521
AWP5,847
MP93,324
MAC-101,888
MAG-71,609

Lifetime map wins

8,129inferno
8,062dust2
7,046nuke
4,142vertigo
879train
716office
81cbble
42lake

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

Skill profile

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

17.2%Headshot accuracy
34.0%Accuracy (enemy spotted)
36.6%Spray accuracy
83.6%Counter-strafing
9.1°Preaim
553msReaction time
51.3%T opening success
56.3%CT opening success
0.57Enemies flashed / flash
3.4%Flash assists
5.09HE damage / grenade
4.33Flashes / match

Recommended for you

Spend your practice time on Anubis

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis8–13-0.0113%13 Nov →
inferno8–80.1014%12 Nov →
mirage13–20.0519%11 Nov →
dust211–130.0110%11 Nov →
anubis11–13-0.0113%8 Nov →
dust213–60.0620%8 Nov →
dust212–16-0.0314%7 Nov →
cache10–13-0.0626%7 Nov →
mirage13–60.1016%7 Nov →
nuke3–13-0.0231%7 Nov →
office12–12-0.0924%5 Nov →
mirage12–16-0.048%5 Nov →
mirage13–20.0024%5 Nov →
inferno2–130.1037%5 Nov →
dust211–13-0.0613%5 Nov →
nuke16–130.0321%4 Nov →
cache6–130.0310%2 Nov →
mirage13–9-0.0124%1 Nov →
dust29–13-0.0413%1 Nov →
anubis9–13-0.0211%1 Nov →
dust22–13-0.0630%1 Nov →
inferno13–16-0.0315%30 Oct →
inferno13–60.0513%30 Oct →
dust213–90.0515%29 Oct →
inferno4–9-0.0213%29 Oct →
anubis13–60.0412%29 Oct →
cache5–13-0.0319%29 Oct →
dust23–120.0117%29 Oct →
dust215–150.0017%28 Oct →
mirage13–4-0.0223%28 Oct →
dust213–110.0213%28 Oct →
cache5–10.1119%27 Oct →
nuke6–130.0113%26 Oct →
ancient15–15-0.0223%24 Oct →
cache13–100.2016%22 Oct →
mirage2–13-0.069%22 Oct →
nuke8–13-0.0314%21 Oct →
nuke1–13-0.0118%21 Oct →
ancient9–13-0.0216%20 Oct →
inferno13–70.0212%18 Oct →
anubis11–13-0.048%18 Oct →
dust213–6-0.079%17 Oct →
cache13–110.0114%16 Oct →
inferno11–13-0.0015%16 Oct →
dust28–130.0520%16 Oct →
inferno5–13-0.0414%16 Oct →
cache10–130.0613%16 Oct →
ancient13–60.0016%14 Oct →
mirage11–13-0.0321%14 Oct →
inferno13–40.0147%13 Oct →
dust215–15-0.0216%12 Oct →
anubis16–120.0219%11 Oct →
inferno13–11-0.0412%10 Oct →
nuke10–9-0.034%9 Oct →
nuke12–120.0522%8 Oct →
dust213–40.035%8 Oct →
nuke13–10.0712%8 Oct →
dust213–30.0326%7 Oct →
mirage13–80.0112%6 Oct →
dust22–13-0.0218%6 Oct →
dust213–50.0017%5 Oct →
dust213–10.0716%4 Oct →
dust213–40.0612%4 Oct →
anubis13–70.0412%3 Oct →
anubis9–13-0.0623%2 Oct →
nuke13–9-0.0714%2 Oct →
dust213–9-0.0424%1 Oct →
inferno6–13-0.1031%1 Oct →
mirage10–130.0220%1 Oct →
mirage8–13-0.0619%30 Sept →
mirage6–13-0.0513%30 Sept →
nuke8–80.0110%29 Sept →
inferno13–10-0.0517%29 Sept →
dust212–120.0132%28 Sept →
inferno13–11-0.0413%28 Sept →
dust213–100.0620%27 Sept →
inferno13–40.1715%27 Sept →
dust213–30.0726%26 Sept →
dust213–8-0.070%26 Sept →
dust213–4-0.0230%24 Sept →
dust213–20.0411%24 Sept →
dust26–13-0.0112%23 Sept →
anubis3–13-0.0817%23 Sept →
ancient9–130.0217%23 Sept →
dust213–30.0224%22 Sept →
cache13–6-0.0222%21 Sept →
cache13–160.017%21 Sept →
dust29–130.0621%21 Sept →
dust213–9-0.0716%21 Sept →
anubis13–60.0213%21 Sept →
dust26–13-0.0413%21 Sept →
dust212–12-0.0214%20 Sept →
mirage13–50.1614%20 Sept →
anubis6–130.1523%19 Sept →
mirage7–13-0.063%18 Sept →
dust216–130.0417%18 Sept →
dust211–13-0.0019%18 Sept →
dust26–130.039%18 Sept →
mirage0–13-0.090%16 Sept →
cache4–130.0615%16 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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