vadjaina

vadjaina — CS2 Stats

EE76561198078931002[U:1:118665274]Steam profile ↗✓ No bans

1,659Tracked matches66%Win rate2020Tracked since
3,415Hours in CS47Hrs last 2 wks
CSDB Rating7.6 StrongPositional Player
Premier CS Rating18,792Top 50% of 209,427 CSDB-tracked playersPurple band · top ~13.3% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 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: 18,792 +29 3 Aug – 23 Oct · 26 days played
18,13220,980peak 20,9803 Aug23 Oct
21,295Peak Premier in tracked matches
33Days played since 2026-08-03

Premier CS Rating

  • 2,188 below peak (20,980)
  • -2,039 over 30 days · declining
  • +29 over 90 days
  • Next: Pink band at 20,000 — 1,208 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-11
  • Blue band first seen 2026-09-11

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

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,220), 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 7 medianLevel 8 medianvs Level 8
Headshot rate38.4%45.7%46.8%8.4% short
Shot accuracy17.6%12.7%13.0%above
Kill/death ratio0.911.051.060.15 short
Match win rate48.4%45.7%46.3%above

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGvadjainaFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER18,792 · 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
Positioning67
Utility57

0–100 skill scores via Leetify.

Recent form

HOT51–43–6Last 10051%Win rateWWWWLWLWWL

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · +2.1pp headshot accuracy · −18ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 15%
  • Avg reaction 602ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 536ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 545ms

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 (+1.4 against its own average).

Aim8.3
Utility5.7
Positioning6.7
Opening Duels5.6
Clutch3.4

Excellent counter-strafing

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: opening-duel success, utility contribution.

Where you differ: 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

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 574ms 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

Aim8.3
Positioning6.7
Utility5.7
Mechanics8.5
Opening Duels6.7
Win Impact10.0

Composite 7.6/10 (Strong), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time560ms−51ms
first ⅓ avg 611ms → last ⅓ avg 560ms
Headshot accuracy14.4%+1.8%
first ⅓ avg 12.6% → last ⅓ avg 14.4%

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

0.25Best match rating · 13–0 · mirage, 23 Oct →
35%Best headshot accuracy · 13–7 · vertigo, 11 Oct →
398msFastest reaction time · 2–13 · inferno, 15 Sept →
13–0Biggest win · mirage, 23 Oct →

Across the last 100 tracked matches.

Highlights

12Longest win streak
W4Current streak
5–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 75% over 12cacheWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB2110–1148%0.03
infernoC167–944%-0.00
dust2B126–650%0.01
ancientS129–375%0.01
nukeC114–736%0.00
cacheD93–633%-0.01
vertigoS64–267%0.01
anubisA53–260%-0.03
office—42–250%-0.00
train—22–0100%0.02
overpass—11–0100%0.01
fachwerk—10–10%-0.05

Across the last 100 tracked matches.

Lifetime stats

82,118Lifetime kills
0.91K/D
4,147Matches
48.4%Match win rate · Top 50% of Level 7 players
38.4%Headshot %
17.6%Shot accuracy · Top 25% of Level 7 players
8,857MVPs
2,366Hours (in match)
3,543Bombs planted
980Bombs defused

Most-used weapons

AK-4724,227
AWP10,874
Knife2,322
MP92,083
FAMAS1,894
MAC-101,776

Lifetime map wins

9,518inferno
8,968office
5,047dust2
3,347nuke
1,395vertigo
1,029train
30cbble
28lake

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

Faceit stats

Combat

1,973Matches
50%Win rate
1.01Avg K/D
69.0ADR
35%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage9355%0.9413.5
Ancient5643%0.8112.2
Dust24749%1.1214.6
Inferno2952%0.8812.9
Vertigo2143%0.7411.8
Nuke2055%0.9312.5
Anubis1765%0.7912.9
Overpass540%0.6312.0

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.

13.5%Headshot accuracy
41.7%Accuracy (enemy spotted)
43.5%Spray accuracy
88.4%Counter-strafing
10.1°Preaim
574msReaction time
54.5%T opening success
59.3%CT opening success
0.59Enemies flashed / flash
10.0%Flash assists
11.74HE damage / grenade
6.73Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.5457% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–00.2518%23 Oct →
inferno13–60.0111%23 Oct →
vertigo13–20.0011%23 Oct →
mirage13–20.0628%23 Oct →
cache12–16-0.048%23 Oct →
dust213–110.0913%23 Oct →
mirage5–13-0.0113%23 Oct →
ancient13–11-0.0312%22 Oct →
ancient13–10-0.0112%22 Oct →
dust21–70.000%22 Oct →
cache13–16-0.0210%21 Oct →
dust29–130.0417%20 Oct →
vertigo5–13-0.0311%16 Oct →
nuke12–120.086%16 Oct →
vertigo9–13-0.054%16 Oct →
cache7–50.0512%16 Oct →
anubis11–4-0.0314%16 Oct →
ancient13–80.0110%16 Oct →
inferno1–13-0.0910%16 Oct →
dust210–13-0.0010%16 Oct →
inferno11–130.0216%16 Oct →
dust213–0-0.0014%15 Oct →
train13–60.0416%15 Oct →
ancient13–70.0122%14 Oct →
vertigo13–3-0.0022%14 Oct →
dust213–40.0029%13 Oct →
anubis13–8-0.0616%12 Oct →
vertigo13–80.0610%12 Oct →
train13–70.0118%11 Oct →
overpass8–10.0112%11 Oct →
vertigo13–70.0835%11 Oct →
anubis13–5-0.0614%11 Oct →
dust213–80.0221%11 Oct →
inferno5–130.0119%11 Oct →
mirage7–130.0533%7 Oct →
inferno8–13-0.0327%5 Oct →
nuke8–10.064%5 Oct →
dust213–100.0118%5 Oct →
inferno13–90.015%5 Oct →
anubis12–120.0318%5 Oct →
mirage9–130.0318%4 Oct →
cache10–13-0.0310%3 Oct →
mirage12–120.039%2 Oct →
inferno6–13-0.0525%18 Sept →
dust210–13-0.0412%18 Sept →
ancient13–11-0.086%16 Sept →
mirage6–13-0.0612%16 Sept →
mirage8–13-0.0516%15 Sept →
office11–130.0518%15 Sept →
inferno2–13-0.0513%15 Sept →
mirage16–140.0223%15 Sept →
inferno13–90.0822%15 Sept →
mirage7–130.0512%3 Sept →
mirage13–80.079%3 Sept →
office13–8-0.089%20 Aug →
office4–13-0.0333%19 Aug →
office13–50.0514%19 Aug →
fachwerk6–13-0.0517%19 Aug →
inferno15–15-0.0215%19 Aug →
ancient6–130.0414%19 Aug →
ancient11–130.0112%18 Aug →
cache3–13-0.0411%18 Aug →
nuke5–13-0.016%18 Aug →
dust23–130.018%18 Aug →
inferno7–130.0724%18 Aug →
mirage9–13-0.0130%18 Aug →
nuke13–30.0114%17 Aug →
nuke4–13-0.063%17 Aug →
mirage13–40.0524%13 Aug →
ancient13–30.004%13 Aug →
nuke7–13-0.0511%11 Aug →
inferno13–5-0.0118%11 Aug →
mirage13–7-0.048%11 Aug →
mirage13–10-0.028%10 Aug →
mirage10–130.0012%10 Aug →
mirage13–9-0.0216%10 Aug →
cache9–13-0.0417%10 Aug →
cache13–10-0.0114%10 Aug →
anubis2–12-0.059%9 Aug →
inferno16–130.0216%9 Aug →
nuke5–13-0.0110%9 Aug →
ancient13–10-0.0413%9 Aug →
dust213–40.0421%9 Aug →
cache13–2-0.0015%9 Aug →
inferno13–10-0.0217%8 Aug →
dust27–13-0.044%8 Aug →
nuke13–60.0113%8 Aug →
inferno13–50.0414%8 Aug →
mirage15–150.0213%8 Aug →
mirage13–6-0.0317%7 Aug →
nuke11–13-0.0415%6 Aug →
ancient13–100.1814%6 Aug →
mirage13–40.1611%6 Aug →
nuke13–100.069%5 Aug →
ancient13–40.0515%5 Aug →
mirage15–150.1112%4 Aug →
inferno6–13-0.0310%4 Aug →
nuke10–13-0.038%4 Aug →
cache9–130.0114%4 Aug →
ancient10–130.0213%3 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches12-Win Streak
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.