Yiijy

Yiijy — CS2 Stats

AZ76561198060009982[U:1:99744254]Steam profile ↗✓ No bans

1,845Tracked matches37%Win rate2021Tracked since
2,459Hours in CS3Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
CSDB Leaderboard#96810 of 251397 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,891 +311 22 Mar – 16 Jun · 16 days played
17,59019,800peak 19,80022 Mar16 Jun
19,800Peak Premier in tracked matches
1,526Highest Faceit ELO seen on CSDB
35Days played since 2026-03-04

Faceit ELO

  • At peak — 1,526
  • Next: Level 8 at 1,531 — 5 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches7——
Win rate29%——
K/D1.13——
Headshot %56%——

Measured 17 Sep 2026 → 13 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGYiijyPEAK ELO1,526csdb.gg/stats

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Performance scores

Aim68
Positioning69
Utility40

0–100 skill scores via Leetify.

Recent form

COLD44–47–9Last 10044%Win rateLLLLWWLLTW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +0.5pp headshot accuracy · +5ms reaction

Win rate up 20pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 620ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 588ms

Last 20

  • 4–13–3 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 586ms

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 (+2.1 against its own average).

Aim6.8
Utility4.0
Positioning6.9
Opening Duels5.8
Clutch2.6

Strong CT-side openerLimited 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

m0NESY

Plays most like m0NESY 82% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 68% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 589ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.8
Positioning6.9
Utility4.0
Mechanics3.7
Opening Duels6.5
Win Impact0.7

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.01
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time595ms−8ms
first ⅓ avg 604ms → last ⅓ avg 595ms
Headshot accuracy19.9%+0.7%
first ⅓ avg 19.2% → last ⅓ avg 19.9%

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 · 13–10 · dust2, 22 Mar →
80%Best headshot accuracy · 7–0 · train, 27 Apr →
406msFastest reaction time · 13–1 · nuke, 7 Jun →
13–1Biggest win · cache, 22 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L4Current streak
5–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

trainBest map · 60% over 5ancientWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
nukeA1810–856%0.04
anubisC167–944%0.01
dust2B158–753%0.06
ancientD155–1033%0.01
mirageD93–633%0.00
infernoC83–538%0.02
cacheC73–443%0.05
trainA53–260%0.02
vertigo—41–325%0.06
overpass—31–233%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,600Lifetime kills
1.05K/D · Top 50% of tracked players
3,957Matches
45.9%Match win rate · Top 50% of tracked players
48.9%Headshot % · Top 50% of tracked players
7.2%Shot accuracy
8,511MVPs
1,440Hours (in match)
4,267Bombs planted
876Bombs defused

Most-used weapons

AK-4722,078
AWP2,872
FAMAS2,229
MP92,026
MAC-101,065

Lifetime map wins

5,994nuke
5,271inferno
3,561dust2
2,877vertigo
1,621train
11safehouse
10lake
9office

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

Faceit stats

Combat

273Matches
52%Win rate
1.18Avg K/D
86.9ADR
48%Headshot %

Clutches & streaks

33%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient7650%1.1517.4
Anubis5149%1.1416.2
Inferno4856%1.1816.8
Nuke4264%1.3517.4
Mirage2442%1.1414.4
Dust21030%1.2016.5
Train1070%1.2121.3
Vertigo862%1.0814.3

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.

20.3%Headshot accuracy
36.1%Accuracy (enemy spotted)
36.4%Spray accuracy
66.6%Counter-strafing
8.5°Preaim
589msReaction time
44.2%T opening success
67.9%CT opening success
0.42Enemies flashed / flash
5.4%Flash assists
12.55HE damage / grenade
4.66Flashes / 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 0.416 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–130.0427%10 Oct →
nuke3–130.0221%2 Oct →
vertigo11–130.1526%2 Oct →
dust24–13-0.0426%2 Oct →
vertigo2–00.010%2 Oct →
anubis13–70.0115%2 Oct →
ancient9–13-0.0519%2 Oct →
anubis10–130.0215%4 Sept →
dust212–120.0729%4 Sept →
mirage13–80.0617%29 Aug →
anubis12–120.0122%29 Aug →
cache9–130.0724%29 Aug →
cache13–10.0417%22 Aug →
nuke11–130.049%22 Aug →
ancient2–13-0.0510%22 Aug →
cache12–120.0924%7 Aug →
dust23–70.1533%7 Aug →
nuke5–13-0.0424%22 Jul →
ancient7–130.0313%18 Jul →
dust211–130.0415%18 Jul →
anubis13–90.0827%18 Jul →
nuke11–130.0826%18 Jul →
cache13–30.0721%17 Jul →
ancient13–40.0713%17 Jul →
anubis13–60.0827%17 Jul →
nuke4–13-0.0125%17 Jul →
cache10–130.0927%17 Jul →
anubis13–9-0.029%19 Jun →
inferno6–13-0.0218%16 Jun →
ancient13–100.0516%16 Jun →
dust216–140.0526%16 Jun →
nuke8–13-0.0314%14 Jun →
ancient9–130.0124%14 Jun →
nuke13–90.0410%7 Jun →
mirage8–130.0416%7 Jun →
nuke13–10.1124%7 Jun →
anubis12–16-0.0413%7 Jun →
anubis16–130.0624%7 Jun →
ancient13–80.0612%6 Jun →
mirage6–13-0.0614%6 Jun →
ancient7–130.0216%19 May →
inferno13–50.0922%17 May →
dust27–13-0.0320%17 May →
overpass13–70.0225%10 May →
dust213–90.0130%10 May →
ancient6–13-0.029%2 May →
cache11–13-0.0114%2 May →
cache13–20.0418%29 Apr →
mirage11–13-0.0515%28 Apr →
inferno15–150.0113%28 Apr →
overpass9–13-0.0216%28 Apr →
anubis4–13-0.0323%28 Apr →
anubis2–13-0.0615%27 Apr →
mirage5–13-0.0718%27 Apr →
overpass6–130.0626%27 Apr →
nuke13–80.0627%27 Apr →
anubis3–13-0.0617%27 Apr →
inferno13–80.0424%27 Apr →
train7–0-0.0780%27 Apr →
nuke13–8-0.0023%24 Apr →
mirage4–13-0.0517%24 Apr →
nuke13–50.0717%14 Apr →
anubis7–13-0.0020%14 Apr →
inferno16–130.0818%13 Apr →
dust213–40.0818%13 Apr →
anubis9–13-0.0011%13 Apr →
nuke4–13-0.0724%13 Apr →
vertigo12–120.0622%11 Apr →
train12–120.0318%11 Apr →
nuke13–100.1021%11 Apr →
anubis13–40.0818%11 Apr →
dust213–90.0919%11 Apr →
dust212–120.0726%10 Apr →
nuke13–70.1116%10 Apr →
ancient5–130.0824%10 Apr →
ancient13–4-0.0613%4 Apr →
nuke16–14-0.019%4 Apr →
train12–120.0321%22 Mar →
dust213–100.1832%22 Mar →
ancient4–13-0.015%22 Mar →
mirage13–100.0516%22 Mar →
train13–110.0228%20 Mar →
nuke7–130.0327%20 Mar →
anubis13–80.1120%20 Mar →
vertigo12–120.0316%20 Mar →
inferno7–13-0.0329%20 Mar →
dust213–30.0716%20 Mar →
ancient7–13-0.0320%16 Mar →
nuke13–100.0422%16 Mar →
train13–70.0916%15 Mar →
ancient13–110.0321%15 Mar →
dust213–30.0324%15 Mar →
mirage13–40.0823%13 Mar →
nuke13–100.1319%13 Mar →
dust213–70.0516%13 Mar →
inferno6–13-0.0216%8 Mar →
dust29–130.0322%8 Mar →
ancient9–13-0.0217%6 Mar →
anubis11–13-0.0213%6 Mar →
inferno5–130.059%4 Mar →

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 →

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