metravana

metravana — CS2 Stats

LK76561198174163718[U:1:213897990]Steam profile ↗✓ No bans

107Tracked matches57%Win rate2021Tracked since
CSDB Rating3.4 LearningPositional Player
Premier CS Rating7,703Light Blue band · top ~65.9% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 107 tracked matches. Play, then come back: the next observation lands here.

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. 51 days played since 24 Mar 2023. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 7,703 +365 25 May8 Sept · 7 days played
7,3387,703peak 7,70325 May8 Sept
7,888Peak Premier in tracked matches
51Days played since 2023-03-24

Premier CS Rating

  • At peak — 7,703
  • Next: Blue band at 10,000 2,297 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-30

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

Share this profile

CSDB.GGmetravanaPREMIER7,703 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning25
Utility12

0–100 skill scores via Leetify.

Recent form

STEADY45496Last 10045%Win rateLWTWWWLLLL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · +0.4pp headshot accuracy · −84ms reaction

Win rate down 40pp 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

  • 311 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 20%
  • Avg reaction 709ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 23%
  • Avg reaction 724ms

Last 20

  • 1271 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 23%
  • Avg reaction 766ms

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 PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim4.8
Utility1.2
Positioning2.5
Opening Duels0.0

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

iM

Plays most like iM 94% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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.

Reaction time. 752ms 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

Aim4.8
Positioning2.5
Utility1.2
Mechanics6.4
Opening Duels0.0
Win Impact7.4

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.04
first ⅓ avg 0.00 → last ⅓ avg -0.04
Reaction time749ms+18ms
first ⅓ avg 731ms → last ⅓ avg 749ms
Headshot accuracy21.1%+8.9%
first ⅓ avg 12.3% → last ⅓ avg 21.1%

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

0.18Best match rating · 9–1 · poseidon, 30 Jun
60%Best headshot accuracy · 2–9 · vertigo, 8 Dec
500msFastest reaction time · 13–5 · mirage, 6 Jul
13–1Biggest win · mirage, 15 Nov

Across the last 100 tracked matches.

Highlights

4Longest win streak
53In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 67% over 9overpassWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB40182245%-0.02
dust2C1881044%-0.04
infernoA148657%-0.02
cacheS96367%-0.05
overpassD51420%-0.06
nuke42250%-0.04
anubis3030%-0.06
vertigo2020%-0.17
poseidon21150%0.02
italy1010%-0.06
train1010%-0.06
ancient110100%-0.10

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Skill profile

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

21.3%Headshot accuracy
30.0%Accuracy (enemy spotted)
32.2%Spray accuracy
78.8%Counter-strafing
9.3°Preaim
752msReaction time
17.7%T opening success
25.4%CT opening success
0.12Enemies flashed / flash
0.2%Flash assists
6.63HE damage / grenade
1.58Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 751.5791ms — above the 700ms 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 0.1204 — 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 17.7046% — below the 40% mark we flag

Spend your practice time on Overpass

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategyOverpass grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0620%7 Jul
cache13–8-0.0510%7 Jul
anubis12–12-0.0613%6 Jul
dust213–6-0.0129%6 Jul
mirage13–5-0.1026%6 Jul
cache13–8-0.0048%6 Jul
inferno2–13-0.0429%6 Jul
mirage6–13-0.0210%2 Jul
dust28–13-0.0926%2 Jul
vertigo6–9-0.1920%30 Jun
poseidon9–10.1827%30 Jun
inferno9–5-0.0910%30 Jun
mirage13–10-0.0239%28 Jun
dust213–10-0.0220%23 Jun
dust28–13-0.0616%21 Jun
mirage13–7-0.0538%21 Jun
anubis10–13-0.0319%21 Jun
cache13–8-0.0623%19 Jun
cache13–7-0.0713%16 Jun
mirage13–6-0.0122%16 Jun
overpass5–13-0.135%13 Jun
nuke7–13-0.036%13 Jun
cache13–4-0.0820%13 Jun
mirage13–50.0531%9 Jun
mirage8–13-0.0527%4 Jun
mirage1–13-0.1024%3 Jun
mirage7–13-0.1215%28 May
mirage12–12-0.0019%28 May
inferno13–100.0016%26 May
overpass7–13-0.068%25 May
dust213–9-0.0418%25 May
mirage13–20.0524%25 May
inferno13–50.0126%25 May
nuke13–8-0.0225%24 May
dust210–13-0.0120%23 May
mirage10–13-0.0718%23 May
dust23–13-0.0130%23 May
italy8–13-0.0637%23 May
cache13–9-0.0731%23 May
dust213–50.0139%21 May
cache4–13-0.0127%20 May
cache10–13-0.0626%20 May
cache9–13-0.0825%18 May
poseidon3–9-0.1429%17 May
dust29–13-0.1132%3 Jan
mirage2–13-0.0514%31 Dec
overpass13–2-0.0211%21 Dec
inferno4–9-0.2118%21 Dec
dust22–13-0.0726%21 Dec
nuke2–13-0.090%21 Dec
mirage6–13-0.1017%20 Dec
train9–13-0.0621%20 Dec
anubis4–13-0.0917%20 Dec
dust27–13-0.0722%19 Dec
dust210–13-0.0326%9 Dec
dust210–13-0.0743%8 Dec
dust213–6-0.0131%8 Dec
vertigo2–9-0.1460%8 Dec
ancient13–11-0.1027%8 Dec
dust213–5-0.0635%8 Dec
mirage13–11-0.0647%3 Dec
inferno8–8-0.0925%3 Dec
dust213–6-0.0529%3 Dec
dust213–2-0.0228%3 Dec
mirage9–13-0.0847%2 Dec
mirage13–6-0.0120%30 Nov
mirage13–20.0014%30 Nov
mirage13–20.0222%29 Nov
mirage3–13-0.0923%25 Nov
inferno4–130.000%25 Nov
mirage8–13-0.0021%17 Nov
mirage13–110.0313%17 Nov
mirage11–130.0311%15 Nov
mirage13–10.0436%15 Nov
mirage5–13-0.0428%14 Nov
mirage7–13-0.0812%14 Nov
mirage9–7-0.038%22 Aug
inferno5–90.125%20 Aug
inferno7–9-0.050%19 Aug
mirage8–80.0213%19 Aug
mirage2–9-0.0114%19 Aug
inferno9–4-0.0311%19 Aug
mirage3–9-0.0014%15 May
overpass7–9-0.0413%15 May
mirage9–40.1014%11 May
nuke9–4-0.038%23 Apr
mirage9–40.0310%23 Apr
mirage8–8-0.029%23 Apr
mirage1–90.044%22 Apr
dust25–90.006%22 Apr
inferno9–40.0517%20 Apr
inferno9–6-0.0014%19 Apr
inferno9–10.0912%19 Apr
overpass5–9-0.063%18 Apr
mirage9–40.0219%18 Apr
inferno9–50.026%11 Apr
mirage9–7-0.0313%31 Mar
mirage9–60.109%29 Mar
mirage3–9-0.096%24 Mar
mirage8–8-0.0513%24 Mar

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 →