Vertecx

Vertecx — CS2 Stats

DE76561198804444277[U:1:844178549]Steam profile ↗✓ No bans

2,407Tracked matches47%Win rate2020Tracked since
4,219Hours in CS11Hrs last 2 wks
CSDB Rating5.7 SolidSupport
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,044 → 2,044
+14Tracked matches · now 2,407
−15.4ppWin rate · 62.1% → 46.7%

Rating over time

Faceit ELO: 2,044 +0 9 Sept – 18 Sept · 2 observations
2,0442,044peak 2,0449 Sept18 Sept
20,619Peak Premier in tracked matches
2,044Highest Faceit ELO seen on CSDB
32Days played since 2026-06-10

Faceit ELO

  • At peak — 2,044
  • Next: 2,500 ELO at 2,500 — 456 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-09
  • Level 9 first seen 2026-09-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGVertecxPEAK ELO2,044csdb.gg/stats

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Performance scores

Aim65
Positioning54
Utility57

0–100 skill scores via Leetify.

Recent form

COLD53–42–5Last 10053%Win rateLWLWLWLLLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −2.1pp headshot accuracy · −115ms reaction

Win rate down 30pp 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 -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 507ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 511ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 568ms

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: Support — Utility contribution stands above the rest of this profile (+1.1 against its own average).

Aim6.5
Utility5.7
Positioning5.4
Opening Duels4.0
Clutch3.2

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 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

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

Reaction time. 557ms 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

Aim6.5
Positioning5.4
Utility5.7
Mechanics7.2
Opening Duels3.0
Win Impact3.9

Composite 5.7/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time569ms−46ms
first ⅓ avg 615ms → last ⅓ avg 569ms
Headshot accuracy16.3%−3.0%
first ⅓ avg 19.4% → last ⅓ avg 16.3%

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

0.21Best match rating · 13–6 · shelter, 1 Aug →
50%Best headshot accuracy · 0–13 · vertigo, 31 Jul →
406msFastest reaction time · 13–10 · office, 3 Sept →
13–0Biggest win · fachwerk, 5 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

boulderBest map · 80% over 5dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
vertigoC167–944%0.00
fachwerkS118–373%0.03
cacheB105–550%-0.01
nukeB105–550%0.01
dust2D82–625%-0.02
officeA74–357%0.02
infernoS64–267%0.00
shelterC52–340%0.04
anubisC52–340%-0.00
boulderS54–180%-0.02
train—43–175%-0.00
overpass—31–233%0.01
alpine—32–167%0.04
ancient—22–0100%0.04
italy—22–0100%0.04
poseidon—20–20%-0.10
stronghold—10–10%0.16

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

137,150Lifetime kills
1.45K/D · Top 5% of tracked players
14,260Matches
77.6%Match win rate · Top 1% of tracked players
41.9%Headshot %
14.7%Shot accuracy · Top 50% of tracked players
15,020MVPs
2,635Hours (in match)
5,934Bombs planted
1,979Bombs defused

Most-used weapons

AK-4745,853
AWP8,247
Negev5,816
MP93,980
MAC-103,678
P902,845

Lifetime map wins

8,997inferno
7,469vertigo
7,098dust2
5,483nuke
1,591train
1,533office
618cbble
383italy

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

Faceit stats

Combat

566Matches
54%Win rate
1.10Avg K/D
74.1ADR
39%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient6758%1.0414.8
Dust24854%0.9314.2
Inferno4363%1.0714.1
Anubis2532%0.7713.3
Mirage2143%0.9513.9
Nuke1861%1.0115.3
Overpass1354%1.0614.6
Train1136%1.0314.4

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.

16.6%Headshot accuracy
32.1%Accuracy (enemy spotted)
35.2%Spray accuracy
82.5%Counter-strafing
10.6°Preaim
557msReaction time
42.8%T opening success
41.2%CT opening success
0.47Enemies flashed / flash
9.0%Flash assists
9.35HE damage / grenade
7.90Flashes / 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 0.471 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo9–13-0.0022%30 Sept →
shelter13–30.027%30 Sept →
shelter9–130.0114%30 Sept →
vertigo13–5-0.033%30 Sept →
cache1–13-0.1121%27 Sept →
cache13–9-0.0213%27 Sept →
vertigo6–130.0320%27 Sept →
vertigo6–13-0.0314%26 Sept →
vertigo4–13-0.0729%25 Sept →
vertigo6–130.0113%25 Sept →
cache11–13-0.068%25 Sept →
vertigo5–13-0.0517%25 Sept →
vertigo13–9-0.0220%25 Sept →
nuke8–80.0615%19 Sept →
cache13–70.0631%10 Sept →
inferno13–6-0.0119%8 Sept →
nuke13–80.0123%8 Sept →
nuke9–40.0613%8 Sept →
ancient13–50.0215%8 Sept →
cache4–130.0214%4 Sept →
office13–10-0.029%3 Sept →
inferno13–10-0.057%3 Sept →
office13–40.0816%3 Sept →
vertigo10–130.1026%2 Sept →
nuke13–60.1418%2 Sept →
nuke13–4-0.0017%28 Aug →
inferno9–13-0.0615%28 Aug →
anubis3–13-0.0735%24 Aug →
anubis2–90.000%19 Aug →
dust213–5-0.0519%17 Aug →
dust27–13-0.0514%7 Aug →
fachwerk7–13-0.0312%6 Aug →
anubis16–13-0.0122%6 Aug →
cache6–13-0.0023%6 Aug →
nuke9–130.0623%6 Aug →
fachwerk9–13-0.0427%5 Aug →
fachwerk13–00.0212%5 Aug →
boulder5–13-0.0411%5 Aug →
fachwerk13–80.0819%5 Aug →
overpass13–60.0333%5 Aug →
boulder13–5-0.079%4 Aug →
fachwerk13–30.0720%4 Aug →
fachwerk13–100.0516%4 Aug →
fachwerk12–120.0118%4 Aug →
inferno13–50.0224%4 Aug →
overpass5–13-0.0516%4 Aug →
boulder13–110.0113%3 Aug →
train13–90.0124%3 Aug →
nuke3–13-0.0429%3 Aug →
boulder13–9-0.0323%2 Aug →
fachwerk13–100.0219%2 Aug →
cache11–130.0014%2 Aug →
dust25–130.0020%1 Aug →
office1–13-0.053%1 Aug →
fachwerk13–70.1716%1 Aug →
anubis15–150.0319%1 Aug →
shelter13–60.2116%1 Aug →
ancient13–60.0719%1 Aug →
office13–40.1228%1 Aug →
vertigo13–2-0.0738%1 Aug →
vertigo1–10-0.1133%1 Aug →
vertigo13–9-0.0111%31 Jul →
vertigo0–13-0.0750%31 Jul →
italy13–110.0022%27 Jul →
vertigo13–30.1318%27 Jul →
train13–7-0.0124%27 Jul →
dust213–30.0627%27 Jul →
dust24–10-0.0613%27 Jul →
dust28–13-0.0218%27 Jul →
anubis13–90.0522%27 Jul →
cache13–7-0.0025%27 Jul →
shelter4–13-0.019%23 Jul →
fachwerk13–5-0.0527%23 Jul →
cache13–11-0.0642%23 Jul →
shelter1–13-0.0013%14 Jul →
fachwerk13–10-0.028%13 Jul →
boulder13–60.0220%13 Jul →
dust25–13-0.0610%21 Jun →
nuke13–90.0614%21 Jun →
nuke5–9-0.1517%21 Jun →
inferno7–90.0320%21 Jun →
overpass8–80.0622%21 Jun →
nuke4–9-0.1113%21 Jun →
inferno9–30.0824%21 Jun →
vertigo9–10.1730%21 Jun →
poseidon3–9-0.1610%21 Jun →
alpine11–13-0.0413%19 Jun →
train7–13-0.0321%19 Jun →
train13–70.0111%19 Jun →
poseidon6–9-0.0418%19 Jun →
dust29–13-0.0033%19 Jun →
alpine13–100.0420%13 Jun →
office8–13-0.0130%12 Jun →
stronghold5–130.1616%12 Jun →
cache13–110.1012%12 Jun →
vertigo13–50.0426%11 Jun →
office12–120.0414%11 Jun →
alpine13–20.1438%11 Jun →
italy13–100.0715%11 Jun →
office13–80.0214%10 Jun →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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