Trance

Trance — CS2 Stats

76561199810728232[U:1:1850462504]Steam profile ↗✓ No bans

253Tracked matches37%Win rate2025Tracked since
407Hours in CS45Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
Premier CS Rating18,644Top 50% of 209,427 CSDB-tracked playersPurple band · top ~13.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (yesterday). 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: 18,644 +12,706 14 Dec – 22 Oct · 25 days played
5,60219,933peak 19,93314 Dec22 Oct
19,933Peak Premier in tracked matches
903Highest Faceit ELO seen on CSDB
42Days played since 2025-12-14

Faceit ELO

  • At peak — 903
  • Next: Level 5 at 1,051 — 148 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 1,289 below peak (19,933)
  • -365 over 30 days · steady
  • Next: Pink band at 20,000 — 1,356 to go
  • Reached: 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
Matches496+43
Win rate24%67%−42pp
K/D0.791.77−0.99
Headshot %52%56%−3pp

Measured 23 Sep 2026 → 23 Oct 2026; previous 29 Aug 2026 → 23 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=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 rate51.5%44.3%46.9%above
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio0.841.031.080.24 short
Match win rate40.0%45.2%46.7%6.7% 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.GGTrancePREMIER18,644 · Purple bandPEAK ELO903csdb.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

Aim85
Positioning66
Utility54

0–100 skill scores via Leetify.

Recent form

COLD50–47–3Last 10050%Win rateWLLLWLLLLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −5.0pp headshot accuracy · −39ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 530ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 533ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 552ms

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 (+2 against its own average).

Aim8.5
Utility5.4
Positioning6.6
Opening Duels4.7
Clutch1.8

Sharp aimer

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

m0NESY

Plays most like m0NESY 95% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success.

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

Aim8.5
Positioning6.6
Utility5.4
Mechanics6.8
Opening Duels5.6
Win Impact0.6

Composite 6.3/10 (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 rating0.04+0.04
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time546ms−99ms
first ⅓ avg 646ms → last ⅓ avg 546ms
Headshot accuracy23.3%+3.2%
first ⅓ avg 20.1% → last ⅓ avg 23.3%

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

0.20Best match rating · 13–1 · mirage, 4 Aug →
60%Best headshot accuracy · 13–3 · nuke, 2 Sept →
391msFastest reaction time · 10–13 · mirage, 15 Oct →
13–0Biggest win · dust2, 1 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–11In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 70% over 10infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA3520–1557%0.05
dust2C156–940%0.02
anubisC135–838%0.03
nukeS107–370%0.04
infernoD61–517%0.01
ancientS64–267%0.02
cacheA53–260%0.09
overpass—43–175%0.01
vertigo—30–30%0.06
train—31–233%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,931Lifetime kills
0.84K/D
423Matches
40.0%Match win rate
51.5%Headshot % · Top 25% of Purple band
0.0%Shot accuracy
801MVPs
164Hours (in match)
280Bombs planted
118Bombs defused

Most-used weapons

Lifetime map wins

463dust2
433inferno
345nuke
159train
76vertigo
31office

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

Faceit stats

Combat

111Matches
46%Win rate
0.86Avg K/D
68.7ADR
45%Headshot %

Clutches & streaks

29%1v1 clutch win
13%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3152%0.9413.7
Inferno2040%0.7010.8
Ancient1844%0.8313.5
Dust21540%0.8513.5
Overpass1040%0.8212.8
Nuke1060%1.0414.0
Train450%1.0413.5
Anubis20%0.6610.5

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.

23.6%Headshot accuracy
36.0%Accuracy (enemy spotted)
39.3%Spray accuracy
80.4%Counter-strafing
8.6°Preaim
547msReaction time
54.6%T opening success
50.1%CT opening success
0.55Enemies flashed / flash
8.3%Flash assists
7.47HE damage / grenade
9.77Flashes / match

Recommended for you

Spend your practice time on Inferno

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–10-0.0328%22 Oct →
inferno2–11-0.074%20 Oct →
anubis3–13-0.046%16 Oct →
mirage10–130.0640%15 Oct →
cache13–110.0710%14 Oct →
mirage10–130.0431%14 Oct →
mirage7–13-0.0120%14 Oct →
nuke14–16-0.0022%14 Oct →
anubis10–13-0.0610%14 Oct →
ancient9–130.0920%13 Oct →
dust211–130.0924%13 Oct →
anubis7–13-0.0321%13 Oct →
mirage13–90.029%13 Oct →
dust27–130.0119%13 Oct →
dust21–10-0.1033%13 Oct →
ancient13–90.0940%12 Oct →
anubis10–130.1223%12 Oct →
mirage13–100.0635%12 Oct →
anubis13–2-0.0124%12 Oct →
dust25–13-0.0213%11 Oct →
mirage13–70.0628%11 Oct →
inferno7–90.0220%11 Oct →
cache7–130.1627%11 Oct →
anubis4–70.0720%9 Oct →
mirage16–130.1923%4 Oct →
mirage10–130.1913%26 Sept →
anubis4–130.1039%10 Sept →
mirage13–90.0721%10 Sept →
mirage10–130.0929%2 Sept →
nuke13–30.1560%2 Sept →
anubis13–70.0420%26 Aug →
mirage13–9-0.0414%25 Aug →
nuke13–50.0624%25 Aug →
mirage13–70.0733%25 Aug →
anubis5–130.0329%24 Aug →
cache13–110.1026%24 Aug →
nuke4–130.0139%24 Aug →
mirage4–130.0633%24 Aug →
anubis13–11-0.0410%15 Aug →
mirage13–10.2030%4 Aug →
nuke13–110.0525%4 Aug →
nuke4–13-0.0221%3 Aug →
dust210–130.0230%3 Aug →
inferno13–90.0628%3 Aug →
mirage13–80.0419%31 Jul →
cache13–100.1320%31 Jul →
nuke9–10.0821%27 Jul →
dust213–160.0615%27 Jul →
nuke13–110.0316%21 Jul →
mirage13–50.0416%21 Jul →
mirage13–90.0425%20 Jul →
anubis11–130.1019%20 Jul →
inferno9–13-0.0014%11 Jul →
mirage13–70.0922%11 Jul →
mirage6–130.0235%9 Jul →
cache11–130.0240%1 Jul →
vertigo12–120.1144%1 Jul →
dust213–00.0918%1 Jul →
dust213–110.1226%14 Jun →
mirage13–100.1026%14 Jun →
dust27–130.0826%14 Jun →
anubis13–90.1029%31 May →
train13–60.1224%31 May →
dust213–40.0330%31 May →
mirage13–40.0320%7 Feb →
mirage13–80.0722%23 Jan →
dust29–130.0119%7 Jan →
mirage8–13-0.0230%6 Jan →
inferno13–160.0321%5 Jan →
mirage11–13-0.0027%5 Jan →
mirage13–100.0722%3 Jan →
mirage15–15-0.0230%2 Jan →
ancient16–130.0423%2 Jan →
ancient13–100.0111%2 Jan →
dust213–7-0.0214%1 Jan →
overpass13–8-0.0315%1 Jan →
train1–13-0.0119%1 Jan →
dust213–7-0.0322%1 Jan →
mirage11–13-0.0211%1 Jan →
train6–13-0.0539%1 Jan →
vertigo12–120.0126%1 Jan →
mirage5–13-0.0215%1 Jan →
dust213–50.0027%24 Dec →
mirage13–50.0817%24 Dec →
mirage7–13-0.019%24 Dec →
nuke13–60.0618%23 Dec →
ancient4–13-0.056%23 Dec →
overpass13–10-0.0219%18 Dec →
dust211–13-0.0710%18 Dec →
inferno13–16-0.0028%17 Dec →
overpass11–130.0916%17 Dec →
mirage13–50.006%17 Dec →
mirage5–130.0123%17 Dec →
mirage11–130.0520%17 Dec →
vertigo11–130.0727%16 Dec →
nuke13–30.0124%16 Dec →
overpass16–13-0.0017%16 Dec →
mirage13–80.0537%16 Dec →
ancient13–6-0.0214%14 Dec →
mirage13–30.0021%14 Dec →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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