Agrajag

Agrajag — CS2 Stats

YE76561198031654444[U:1:71388716]Steam profile ↗✓ No bans

2,360Tracked matches45%Win rate2020Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating5,698Light Blue band · top ~75.5% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (2 days ago). 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: 5,698 -2,914 24 May – 16 Oct · 14 days played
5,3018,971peak 8,97124 May16 Oct
8,971Peak Premier in tracked matches
894Highest Faceit ELO seen on CSDB
36Days played since 2026-05-23

Faceit ELO

  • At peak — 894
  • Next: Level 4 at 901 — 7 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • 3,273 below peak (8,971)
  • Next: Blue band at 10,000 — 4,302 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGAgrajagPREMIER5,698 · Light Blue bandPEAK ELO894csdb.gg/stats

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Performance scores

Aim72
Positioning59
Utility52

0–100 skill scores via Leetify.

Recent form

HOT34–53–13Last 10034%Win rateWLWWLWWWLW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −1.2pp headshot accuracy · +102ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 674ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 731ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 680ms

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 (+1.8 against its own average).

Aim7.2
Utility5.2
Positioning5.9
Opening Duels2.1
Clutch3.0

Strong CT-side opener

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 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 639ms 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

Aim7.2
Positioning5.9
Utility5.2
Mechanics6.7
Opening Duels3.6
Win Impact3.3

Composite 5.2/10 (Developing), 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-0.00+0.04
first ⅓ avg -0.04 → last ⅓ avg -0.00
Reaction time678ms−44ms
first ⅓ avg 722ms → last ⅓ avg 678ms
Headshot accuracy14.7%−5.2%
first ⅓ avg 19.9% → last ⅓ avg 14.7%

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

0.12Best match rating · 9–6 · inferno, 31 May →
50%Best headshot accuracy · 1–9 · inferno, 7 Jun →
406msFastest reaction time · 3–9 · inferno, 28 Sept →
13–1Biggest win · nuke, 12 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
8–9In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 60% over 10ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoD4113–2832%-0.04
nukeD155–1033%-0.01
dust2C135–838%-0.00
cacheA106–460%0.00
ancientD71–614%-0.03
vertigoD51–420%0.01
mirage—41–325%-0.02
overpass—31–233%0.01
anubis—21–150%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

44Matches
43%Win rate
1.01Avg K/D
72.3ADR
42%Headshot %

Clutches & streaks

35%1v1 clutch win
25%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1346%1.0613.5
Inferno850%1.0617.6
Dust2812%0.8411.4
Nuke540%1.0718.0
Cache2100%1.3619.0
Ancient250%0.8013.5
Anubis250%1.1214.5
Train1100%1.5711.0

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.

15.2%Headshot accuracy
38.9%Accuracy (enemy spotted)
40.6%Spray accuracy
80.3%Counter-strafing
9.5°Preaim
639msReaction time
38.3%T opening success
50.3%CT opening success
0.63Enemies flashed / flash
4.2%Flash assists
8.39HE damage / grenade
6.54Flashes / 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 38.3437% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–60.0510%16 Oct →
inferno1–9-0.1713%16 Oct →
dust213–70.0116%16 Oct →
inferno9–10.1217%16 Oct →
dust211–13-0.008%15 Oct →
inferno9–40.0118%15 Oct →
dust216–120.0118%14 Oct →
cache13–80.0416%14 Oct →
nuke11–13-0.0716%12 Oct →
nuke13–10-0.047%12 Oct →
dust29–13-0.039%12 Oct →
nuke13–10.0720%12 Oct →
nuke10–130.0211%12 Oct →
cache13–80.0414%12 Oct →
inferno13–70.0715%12 Oct →
inferno5–9-0.187%12 Oct →
cache13–110.0422%11 Oct →
ancient4–13-0.0219%11 Oct →
dust28–13-0.0120%11 Oct →
mirage8–130.0516%11 Oct →
inferno11–13-0.0411%11 Oct →
cache8–13-0.0319%10 Oct →
ancient9–130.0211%10 Oct →
mirage7–13-0.0614%10 Oct →
cache13–70.0014%9 Oct →
dust211–130.0315%8 Oct →
cache13–80.0523%8 Oct →
inferno7–9-0.0218%7 Oct →
ancient15–15-0.0211%7 Oct →
nuke9–70.0810%7 Oct →
inferno8–8-0.036%6 Oct →
inferno13–110.0217%5 Oct →
inferno6–9-0.0725%5 Oct →
inferno13–7-0.0217%4 Oct →
dust213–4-0.038%4 Oct →
dust211–130.0620%4 Oct →
nuke9–130.0411%4 Oct →
inferno9–70.0215%4 Oct →
inferno2–9-0.0411%4 Oct →
inferno9–130.0012%1 Oct →
dust25–13-0.0134%1 Oct →
inferno8–8-0.0411%30 Sept →
ancient11–13-0.0033%30 Sept →
dust211–13-0.0516%29 Sept →
inferno0–9-0.190%29 Sept →
inferno13–11-0.1121%29 Sept →
anubis5–13-0.0311%29 Sept →
dust213–80.0341%29 Sept →
inferno8–130.0127%29 Sept →
dust213–90.0221%29 Sept →
nuke8–80.0221%28 Sept →
inferno3–9-0.1114%28 Sept →
nuke3–9-0.1113%17 Sept →
anubis13–4-0.0118%17 Sept →
inferno6–9-0.0628%13 Sept →
nuke13–90.0234%12 Sept →
inferno13–30.0330%12 Sept →
inferno6–90.0721%11 Sept →
inferno8–80.0635%11 Sept →
overpass8–80.0423%10 Sept →
cache8–130.0615%10 Sept →
nuke6–9-0.0422%31 Jul →
overpass7–9-0.0126%31 Jul →
cache4–13-0.0414%18 Jul →
inferno6–9-0.1211%17 Jul →
ancient10–13-0.0411%12 Jul →
vertigo5–9-0.0422%12 Jul →
nuke8–8-0.0814%12 Jul →
inferno8–8-0.1412%21 Jun →
inferno8–8-0.1325%21 Jun →
inferno3–9-0.119%14 Jun →
inferno6–9-0.0818%14 Jun →
inferno2–9-0.1621%14 Jun →
inferno9–70.0410%14 Jun →
dust22–13-0.0522%14 Jun →
inferno9–7-0.0821%14 Jun →
mirage10–13-0.0323%12 Jun →
overpass13–70.0114%12 Jun →
inferno9–60.0616%11 Jun →
nuke8–80.0324%11 Jun →
ancient10–13-0.1015%7 Jun →
mirage13–11-0.0317%7 Jun →
cache13–5-0.0518%7 Jun →
inferno1–9-0.2250%7 Jun →
inferno1–13-0.0029%31 May →
vertigo8–8-0.0419%31 May →
inferno5–9-0.1211%31 May →
inferno9–60.1216%31 May →
inferno5–9-0.036%31 May →
cache7–13-0.0720%30 May →
inferno4–13-0.0329%26 May →
nuke9–20.1022%26 May →
vertigo6–90.0420%26 May →
ancient13–8-0.0321%25 May →
inferno8–80.0613%25 May →
vertigo9–30.0221%25 May →
nuke5–9-0.1325%24 May →
inferno4–13-0.0318%24 May →
vertigo8–80.0733%24 May →
nuke4–9-0.1321%23 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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