v1trage

v1trage — CS2 Stats

LV76561198313371437[U:1:353105709]Steam profile ↗✓ No bans

3,948Tracked matches57%Win rate2020Tracked since
11,343Hours in CS48Hrs last 2 wks
CSDB Rating6.4 SolidSupport
CSDB Leaderboard#40568 of 257797 tracked
FaceitLevel 10 · 3,124 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (36 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,124 → 3,124
+70Tracked matches · now 3,948
−3.3ppWin rate · 60.0% → 56.7%

Rating over time

Premier CS Rating: 23,239 -4,294 25 Dec – 21 Sept · 12 days played
22,78227,533peak 27,53325 Dec21 Sept
Faceit ELO: 3,124 +0 29 Aug – 21 Sept · 5 observations
3,1243,124peak 3,12429 Aug21 Sept
27,637Peak Premier in tracked matches
3,124Highest Faceit ELO seen on CSDB
58Days played since 2025-12-07

Faceit ELO

  • At peak — 3,124
  • 0 over 30 days · steady
  • Next: 3,500 ELO at 3,500 — 376 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-29
  • 2,500 ELO first seen 2026-08-29

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 playerLevel 10 median
Headshot rate49.9%50.9%
Shot accuracy12.4%13.7%
Kill/death ratio1.151.09
Match win rate47.4%48.4%

Share this profile

CSDB.GGv1trageFACEITLevel 10 · 3,124 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO3,124csdb.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

Aim74
Positioning59
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateLWWWLLWWLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −1.8pp headshot accuracy · +11ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 29%
  • Avg reaction 497ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 565ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 559ms

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 (+1.6 against its own average).

Aim7.4
Utility6.3
Positioning5.9
Opening Duels2.4
Clutch4.0

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

ZywOo

Plays most like ZywOo 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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

Reaction time. 578ms 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

Aim7.4
Positioning5.9
Utility6.3
Mechanics5.1
Opening Duels2.6
Win Impact7.2

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time589ms+10ms
first ⅓ avg 578ms → last ⅓ avg 589ms
Headshot accuracy21.6%−3.0%
first ⅓ avg 24.7% → last ⅓ avg 21.6%

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

0.29Best match rating · 9–5 · nuke, 28 Jan →
60%Best headshot accuracy · 0–13 · mirage, 22 Feb →
313msFastest reaction time · 13–2 · anubis, 22 Sept →
13–1Biggest win · anubis, 1 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–3In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 100% over 8ancientWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B2613–1350%0.03
mirageB178–947%0.00
ancientD164–1225%-0.01
anubisA106–460%-0.02
infernoA85–363%0.04
cacheS88–0100%0.05
nukeB84–450%0.04
vertigo—42–250%0.03
office—10–10%-0.07
overpass—11–0100%0.13
train—10–10%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

400,959Lifetime kills
1.15K/D · Top 50% of Level 10 players
12,029Matches
47.4%Match win rate
49.9%Headshot %
12.4%Shot accuracy
51,263MVPs
8,325Hours (in match)
9,955Bombs planted
6,561Bombs defused

Most-used weapons

AK-47148,912
AWP66,903
Glock-1814,981
Knife5,620
MP95,542
FAMAS5,055

Lifetime map wins

31,035dust2
18,128inferno
11,003vertigo
10,086nuke
4,995train
964cbble
190office
103lake

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

Faceit stats

Combat

3,983Matches
54%Win rate
1.17Avg K/D
75.7ADR
48%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient58359%1.1615.6
Mirage53851%1.1315.3
Dust239857%1.1315.2
Anubis34954%1.1114.9
Nuke22646%1.0515.3
Inferno14647%1.1014.7
Vertigo10056%1.1416.0
Overpass4957%1.1015.3

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.

22.1%Headshot accuracy
34.0%Accuracy (enemy spotted)
43.9%Spray accuracy
72.7%Counter-strafing
9.9°Preaim
578msReaction time
36.1%T opening success
44.8%CT opening success
0.64Enemies flashed / flash
6.1%Flash assists
10.57HE damage / grenade
13.56Flashes / 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. 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 36.0569% — below the 40% mark we flag

Spend your practice time on Ancient

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 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–130.0331%23 Sept →
dust216–140.0127%23 Sept →
ancient13–60.0420%22 Sept →
anubis13–2-0.0131%22 Sept →
dust29–130.0135%21 Sept →
ancient2–13-0.0421%21 Sept →
anubis13–11-0.0113%18 Sept →
inferno13–110.0221%16 Sept →
mirage8–13-0.0311%13 Sept →
dust29–13-0.0215%13 Sept →
anubis5–13-0.0416%13 Sept →
ancient16–19-0.0118%13 Sept →
dust222–20-0.0118%13 Sept →
dust213–9-0.0225%3 Sept →
ancient4–13-0.0545%2 Sept →
cache13–90.1420%1 Sept →
cache9–10.1221%1 Sept →
ancient13–60.0332%18 Aug →
mirage13–60.0326%11 Aug →
dust213–30.0223%5 Aug →
cache13–80.0325%5 Aug →
anubis19–17-0.0422%23 Jul →
dust213–160.0222%22 Jul →
anubis13–2-0.069%22 Jul →
dust21–50.0229%19 Jul →
dust26–130.0214%5 Jul →
cache13–80.0321%5 Jul →
mirage7–13-0.0711%9 Jun →
inferno11–00.0824%31 May →
nuke9–130.0230%21 May →
cache13–70.0111%18 May →
cache13–40.0714%18 May →
mirage5–13-0.0614%18 May →
dust213–90.0129%18 May →
cache13–80.0223%12 May →
cache13–9-0.0128%6 May →
dust210–130.0726%20 Apr →
dust213–80.0429%16 Apr →
inferno9–13-0.0430%13 Apr →
anubis13–10-0.0024%13 Apr →
ancient0–6-0.100%8 Apr →
vertigo8–130.0534%8 Apr →
ancient8–100.0331%3 Apr →
ancient1–30.0836%3 Apr →
nuke3–120.0125%3 Apr →
ancient5–12-0.0735%3 Apr →
anubis13–10.0434%1 Apr →
mirage1–13-0.0045%1 Apr →
nuke13–40.0229%30 Mar →
dust29–13-0.0625%26 Mar →
dust213–40.0033%26 Mar →
inferno9–70.2026%24 Mar →
mirage13–8-0.0125%24 Mar →
nuke7–130.018%19 Mar →
mirage13–20.0357%19 Mar →
ancient0–4-0.100%7 Mar →
office3–13-0.0723%6 Mar →
dust24–13-0.0328%6 Mar →
mirage13–60.0428%5 Mar →
mirage0–4-0.050%23 Feb →
anubis5–13-0.0323%22 Feb →
mirage0–13-0.1060%22 Feb →
dust213–30.1530%22 Feb →
anubis7–13-0.0325%21 Feb →
ancient13–100.0023%21 Feb →
dust26–130.0225%21 Feb →
inferno5–13-0.0521%17 Feb →
nuke13–10-0.0515%14 Feb →
ancient15–150.0522%12 Feb →
mirage13–90.1319%12 Feb →
ancient13–80.0018%7 Feb →
ancient10–13-0.0818%5 Feb →
nuke9–50.2931%28 Jan →
mirage13–40.0324%27 Jan →
dust29–130.0725%26 Jan →
inferno13–40.1023%25 Jan →
nuke13–9-0.0124%20 Jan →
ancient12–120.0825%20 Jan →
dust213–110.0122%13 Jan →
mirage12–12-0.0636%8 Jan →
mirage8–13-0.0626%7 Jan →
nuke10–130.0024%7 Jan →
inferno13–90.1023%7 Jan →
overpass13–20.1326%7 Jan →
dust213–110.0617%7 Jan →
ancient3–13-0.0831%3 Jan →
mirage13–110.0937%3 Jan →
train3–13-0.0635%3 Jan →
mirage13–160.0627%25 Dec →
dust213–60.1333%25 Dec →
dust25–13-0.0220%25 Dec →
vertigo13–110.0115%20 Dec →
dust213–20.1927%17 Dec →
vertigo13–20.0631%17 Dec →
vertigo11–130.0117%17 Dec →
anubis9–130.0020%16 Dec →
dust213–50.1316%15 Dec →
dust27–13-0.0224%7 Dec →
inferno8–13-0.0618%7 Dec →
mirage13–100.0745%7 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.