tr0nic (50% packetloss)

tr0nic (50% packetloss) — CS2 Stats

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

1,579Tracked matches59%Win rate2023Tracked since
3,787Hours in CS27Hrs last 2 wks
CSDB Rating6.6 SolidOpening Duellist
Premier CS Rating16,627Purple band · top ~21.9% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−1379Premier CS Rating · 18,006 → 16,627
+5Tracked matches · now 1,579
−3.4ppWin rate · 62.1% → 58.6%
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. 31 days played since 6 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 16,627 +1,628 6 Aug18 Sept · 16 days played
14,19518,374peak 18,3746 Aug18 Sept
18,374Peak Premier in tracked matches
31Days played since 2026-08-06

Premier CS Rating

  • 1,747 below peak (18,374)
  • -802 over 30 days · declining
  • Next: Pink band at 20,000 3,373 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.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches229+13
Win rate45%67%−21pp
K/D1.261.43−0.16
Headshot %43%43%+0pp

Measured 10 Sep 202618 Sep 2026; previous 6 Sep 2026 → 10 Sep 2026.

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=35,214), 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 rate48.5%44.3%47.0%above
Shot accuracy1.4%11.8%13.0%11.6% short
Kill/death ratio0.891.031.080.19 short
Match win rate45.5%45.2%46.7%1.1% 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.GGtr0nic (50% packetloss)PREMIER16,627 · 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
Positioning56
Utility27

0–100 skill scores via Leetify.

Recent form

COLD58375Last 10058%Win rateWLLLLWWLLL

Last 10 vs previous 10: −50pp win rate · −0.01 avg rating · −3.8pp headshot accuracy · +29ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 586ms

Last 10

  • 37 · 30% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 17%
  • Avg reaction 572ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 19%
  • Avg reaction 557ms

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: Opening DuellistWinning opening duels is what stands out in this profile (+1.3 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.3
Utility2.7
Positioning5.6
Opening Duels6.1

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

s1mple

Plays most like s1mple 88% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning 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.

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
Positioning5.6
Utility2.7
Mechanics8.1
Opening Duels6.0
Win Impact7.9

Composite 6.6/10 (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 rating0.05+0.04
first ⅓ avg 0.00 → last ⅓ avg 0.05
Reaction time524ms−74ms
first ⅓ avg 598ms → last ⅓ avg 524ms
Headshot accuracy18.0%−6.0%
first ⅓ avg 24.0% → last ⅓ avg 18.0%

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

0.23Best match rating · 9–0 · inferno, 6 Sept
67%Best headshot accuracy · 13–3 · cache, 19 Aug
328msFastest reaction time · 7–0 · cache, 2 Sept
13–1Biggest win · nuke, 3 Sept

Across the last 100 tracked matches.

Highlights

11Longest win streak
98In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 70% over 10dust2Weakest map · 55% over 31
MapGradePlayedRecordWin rateAvg rating
dust2A31171455%0.02
mirageA2011955%0.03
infernoA1610663%0.06
nukeS107370%-0.00
cacheS96367%0.02
vertigo41325%-0.08
office43175%0.01
ancient32167%-0.05
anubis2020%0.01
overpass110100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (55% over 31). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,881Lifetime kills
0.89K/D
4,993Matches
45.5%Match win rate · Top 50% of Purple band
48.5%Headshot % · Top 50% of Purple band
1.4%Shot accuracy
12,155MVPs
1,435Hours (in match)
4,191Bombs planted
1,194Bombs defused

Most-used weapons

AK-4717,268
AWP5,527
MP93,242
MAC-101,858
MAG-71,597

Lifetime map wins

7,873inferno
7,404dust2
6,917nuke
4,094vertigo
875train
704office
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.

16.8%Headshot accuracy
37.0%Accuracy (enemy spotted)
33.3%Spray accuracy
86.5%Counter-strafing
7.5°Preaim
530msReaction time
53.2%T opening success
55.1%CT opening success
0.40Enemies flashed / flash
2.4%Flash assists
6.09HE damage / grenade
3.31Flashes / 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. 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 0.4011 — below the 0.5 mark we flag

    Grenade Lineups

Recent matches

MapScoreRatingHS%Date
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
mirage13–100.1127%16 Sept
mirage13–70.1827%14 Sept
dust26–130.0925%13 Sept
vertigo6–9-0.0120%11 Sept
anubis2–130.1013%7 Sept
dust213–20.1122%7 Sept
inferno9–00.2340%6 Sept
inferno9–40.1017%6 Sept
dust211–13-0.0314%5 Sept
inferno9–40.1229%4 Sept
inferno9–50.0624%4 Sept
office6–50.0324%4 Sept
dust213–6-0.006%4 Sept
ancient13–7-0.047%4 Sept
nuke5–130.0728%4 Sept
vertigo9–4-0.0810%3 Sept
overpass9–60.0411%3 Sept
nuke9–7-0.0211%3 Sept
nuke13–10.0120%3 Sept
cache13–30.1216%3 Sept
inferno9–30.1214%3 Sept
inferno9–7-0.0013%3 Sept
inferno9–30.1233%3 Sept
inferno9–60.0917%3 Sept
inferno9–30.0321%3 Sept
office13–110.0416%2 Sept
office12–12-0.0518%2 Sept
inferno4–13-0.0513%2 Sept
mirage13–30.0925%2 Sept
vertigo8–8-0.1510%2 Sept
inferno9–40.0916%2 Sept
inferno7–9-0.0230%2 Sept
office13–50.0421%2 Sept
cache7–0-0.0313%2 Sept
mirage1–13-0.0414%2 Sept
dust213–110.0717%1 Sept
nuke2–0-0.060%30 Aug
dust22–130.0122%30 Aug
nuke13–1-0.0213%25 Aug
mirage12–20.0216%25 Aug
dust27–130.0011%25 Aug
mirage7–130.1520%25 Aug
dust213–30.0718%25 Aug
cache6–13-0.0914%23 Aug
dust28–13-0.1021%22 Aug
cache13–10-0.0320%22 Aug
dust213–50.0226%22 Aug
dust26–130.0427%21 Aug
nuke13–20.0316%21 Aug
dust25–130.0525%21 Aug
dust213–7-0.0335%20 Aug
cache13–30.0567%19 Aug
inferno4–90.0619%19 Aug
ancient2–13-0.0442%19 Aug
cache11–130.0920%19 Aug
cache2–00.000%19 Aug
dust213–50.0619%19 Aug
dust213–100.0325%18 Aug
dust213–8-0.0942%18 Aug
dust211–13-0.0632%18 Aug
dust213–20.0215%18 Aug
mirage11–3-0.0519%17 Aug
mirage12–120.0125%17 Aug
cache13–11-0.0218%16 Aug
dust216–120.0123%16 Aug
dust29–13-0.0350%16 Aug
dust213–100.0125%16 Aug
dust211–13-0.0030%16 Aug
dust213–5-0.0532%15 Aug
ancient13–11-0.085%15 Aug
mirage13–8-0.0413%15 Aug
mirage13–100.1124%15 Aug
inferno15–15-0.0422%14 Aug
mirage13–7-0.0139%14 Aug
mirage4–130.0542%14 Aug
mirage13–7-0.0223%14 Aug
nuke13–10-0.0023%12 Aug
dust213–70.0931%12 Aug
vertigo4–9-0.0730%12 Aug
dust211–130.0325%12 Aug
dust213–60.1022%12 Aug
inferno8–130.0418%12 Aug
mirage10–130.0523%12 Aug
dust26–130.0620%11 Aug
anubis10–13-0.0815%10 Aug
mirage8–13-0.0512%10 Aug
inferno11–130.0111%9 Aug
nuke12–12-0.0111%9 Aug
nuke8–13-0.0842%8 Aug
mirage13–160.0316%7 Aug
dust213–90.0322%7 Aug
mirage9–13-0.0822%7 Aug
nuke13–70.0421%6 Aug
mirage13–5-0.0018%6 Aug
mirage13–70.1137%6 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →