Yard

Yard — CS2 Stats

ZM76561198098404258[U:1:138138530]Steam profile ↗✓ No bans

1,281Tracked matches63%Win rate2020Tracked since
1,575Hours in CS
CSDB Rating5.4 DevelopingSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 1,281 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 53 days played since 1 Oct 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 18,611 +638 1 Oct – 27 Jun · 41 days played
17,47119,540peak 19,5401 Oct27 Jun
19,633Peak Premier in tracked matches
53Days played since 2025-10-01

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 4 among CSDB-tracked players (n=13,676), 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 4 medianLevel 5 medianvs Level 5
Headshot rate36.7%42.7%43.8%7.1% short
Shot accuracy14.0%11.3%12.1%above
Kill/death ratio1.150.991.02above
Match win rate46.0%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGYardFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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

Aim64
Positioning38
Utility60

0–100 skill scores via Leetify.

Recent form

HOT56–43–1Last 10056%Win rateWWWWLWWLWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · −2.0pp headshot accuracy · +10ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 649ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 634ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 629ms

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 (+2.9 against its own average).

Aim6.4
Utility6.0
Positioning3.8
Opening Duels0.0
Clutch2.6

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

Twistzz

Plays most like Twistzz 84% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 651ms 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

Aim6.4
Positioning3.8
Utility6.0
Mechanics5.6
Opening Duels0.0
Win Impact9.4

Composite 5.4/10 (Developing), 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-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time649ms−35ms
first ⅓ avg 683ms → last ⅓ avg 649ms
Headshot accuracy14.9%−2.0%
first ⅓ avg 16.9% → last ⅓ avg 14.9%

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

0.14Best match rating · 13–10 · anubis, 7 Mar →
32%Best headshot accuracy · 3–13 · dust2, 11 Nov →
438msFastest reaction time · 9–13 · anubis, 21 Mar →
13–0Biggest win · mirage, 11 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
10–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 73% over 15anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A2514–1156%0.01
infernoS1511–473%0.01
mirageA149–564%0.01
ancientB147–750%-0.01
overpassA138–562%0.01
nukeC94–544%-0.02
anubisC83–538%0.01
office—10–10%-0.02
train—10–10%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

74,198Lifetime kills
1.15K/D · Top 25% of Level 4 players
3,628Matches
46.0%Match win rate · Top 50% of Level 4 players
36.7%Headshot %
14.0%Shot accuracy · Top 50% of Level 4 players
8,643MVPs
1,575Hours (in match)
4,397Bombs planted
727Bombs defused

Most-used weapons

Lifetime map wins

10,104inferno
6,890dust2
6,358office
1,446nuke
859vertigo
454cbble
305train
86aztec

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

Faceit stats

Combat

75Matches
53%Win rate
1.15Avg K/D
80.7ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2152%1.0516.4
Inferno1533%1.3916.8
Anubis1155%0.9514.8
Ancient1070%0.9713.9
Vertigo771%1.5917.1
Nuke560%1.1416.6
Dust2560%1.2814.8
Overpass10%0.436.0

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.

13.8%Headshot accuracy
36.9%Accuracy (enemy spotted)
37.6%Spray accuracy
75.1%Counter-strafing
8.0°Preaim
651msReaction time
18.3%T opening success
28.3%CT opening success
0.69Enemies flashed / flash
5.3%Flash assists
7.70HE damage / grenade
6.25Flashes / 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 13.8052% — below the 15% mark we flag

    Aim Training →
  2. 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 18.3246% — below the 40% mark we flag

Spend your practice time on Anubis

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–40.0817%17 Jul →
inferno13–10-0.039%17 Jul →
dust213–80.0414%27 Jun →
mirage13–60.0512%19 May →
anubis8–130.0214%3 May →
ancient13–7-0.0515%3 May →
dust213–20.0617%3 May →
nuke6–130.0110%3 May →
inferno13–4-0.0012%3 May →
overpass13–110.0111%12 Apr →
dust211–13-0.0513%12 Apr →
ancient13–100.0220%12 Apr →
dust21–13-0.0524%12 Apr →
dust24–13-0.0523%7 Apr →
overpass13–20.0215%7 Apr →
anubis13–8-0.027%6 Apr →
inferno8–13-0.0610%6 Apr →
mirage13–90.0113%6 Apr →
nuke10–13-0.0511%5 Apr →
inferno13–10-0.0117%5 Apr →
anubis13–60.008%4 Apr →
ancient13–9-0.0211%4 Apr →
ancient10–130.0615%4 Apr →
dust24–2-0.0829%4 Apr →
ancient10–13-0.0318%3 Apr →
dust213–40.0713%29 Mar →
dust213–70.0712%28 Mar →
inferno6–13-0.0215%22 Mar →
nuke13–5-0.018%22 Mar →
office4–13-0.0218%21 Mar →
anubis9–13-0.0514%21 Mar →
dust213–10-0.0023%21 Mar →
nuke12–160.0224%16 Mar →
inferno13–110.0217%9 Mar →
ancient11–13-0.0012%9 Mar →
anubis13–100.1431%7 Mar →
mirage4–13-0.0530%7 Mar →
mirage4–13-0.0726%26 Feb →
dust210–13-0.0910%23 Feb →
anubis11–13-0.0321%19 Feb →
ancient13–100.0319%19 Feb →
dust213–110.0114%12 Feb →
inferno13–40.0120%12 Feb →
inferno13–8-0.0120%10 Feb →
overpass8–13-0.0522%10 Feb →
overpass10–130.076%6 Feb →
anubis11–130.0013%31 Jan →
overpass3–13-0.0710%31 Jan →
anubis7–130.028%25 Jan →
mirage13–90.0415%25 Jan →
inferno13–11-0.0012%25 Jan →
dust213–90.0825%25 Jan →
inferno15–150.079%18 Jan →
nuke0–9-0.2318%18 Jan →
overpass13–80.0414%18 Jan →
overpass11–130.0225%11 Jan →
ancient10–13-0.0219%11 Jan →
ancient10–13-0.0312%3 Jan →
mirage13–50.0220%3 Jan →
mirage14–16-0.027%3 Jan →
dust29–130.0117%3 Jan →
ancient13–11-0.0312%31 Dec →
dust213–110.0115%31 Dec →
train8–13-0.038%30 Dec →
dust213–100.0516%30 Dec →
dust213–7-0.0223%28 Dec →
ancient9–130.0512%28 Dec →
mirage13–60.0018%23 Dec →
overpass13–70.008%23 Dec →
dust211–130.0712%22 Dec →
inferno13–100.0211%22 Dec →
overpass13–20.1014%27 Nov →
nuke13–60.0520%27 Nov →
nuke4–13-0.0420%20 Nov →
mirage5–13-0.0713%15 Nov →
mirage13–90.0113%14 Nov →
mirage1–120.0119%11 Nov →
ancient13–9-0.018%11 Nov →
mirage13–00.0713%11 Nov →
dust23–13-0.0032%11 Nov →
dust29–130.0319%10 Nov →
ancient13–6-0.059%10 Nov →
ancient5–13-0.0524%9 Nov →
inferno13–100.068%1 Nov →
dust27–130.0529%27 Oct →
overpass13–30.0619%26 Oct →
mirage13–110.0610%22 Oct →
overpass14–160.0114%17 Oct →
inferno13–70.0515%16 Oct →
inferno13–40.0723%13 Oct →
dust213–70.0222%13 Oct →
dust213–50.0822%12 Oct →
dust27–13-0.0318%12 Oct →
nuke16–140.0523%11 Oct →
dust213–100.0222%6 Oct →
dust27–13-0.0313%4 Oct →
nuke13–70.0024%4 Oct →
inferno7–13-0.0218%2 Oct →
overpass13–10-0.025%2 Oct →
overpass13–110.0020%1 Oct →

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 →