574N

574N — CS2 Stats

AU76561197982393727[U:1:22127999]Steam profile ↗✓ No bans

521Tracked matches45%Win rate2020Tracked since
CSDB Rating5.1 DevelopingSupport
Premier CS Rating20,322Top 50% of 215,386 CSDB-tracked playersPink band · top ~8.1% of ranked players (population est.)
CSDB Leaderboard#79894 of 261506 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 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: 20,322 +885 21 May – 11 Nov · 31 days played
18,31921,877peak 21,87721 May11 Nov
22,033Peak Premier in tracked matches
40Days played since 2026-05-21

Premier CS Rating

  • 1,555 below peak (21,877)
  • -773 over 30 days · declining
  • -191 over 90 days
  • Next: Red band at 25,000 — 4,678 to go
  • Reached: Pink band · Purple band · Blue band · 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.GG574NPREMIER20,322 · Pink bandcsdb.gg/stats

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Performance scores

Aim51
Positioning56
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateLLWWLTWWWL

Last 10 vs previous 10: +30pp win rate · +0.06 avg rating · +5.0pp headshot accuracy · −3ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 644ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 634ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 636ms

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 (+2.1 against its own average).

Aim5.1
Utility6.7
Positioning5.6
Opening Duels1.5

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

iM

Plays most like iM 68% 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. 623ms 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

Aim5.1
Positioning5.6
Utility6.7
Mechanics5.5
Opening Duels2.3
Win Impact3.3

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time632ms+11ms
first ⅓ avg 620ms → last ⅓ avg 632ms
Headshot accuracy20.6%−0.5%
first ⅓ avg 21.1% → last ⅓ avg 20.6%

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

0.14Best match rating · 8–0 · inferno, 17 Jul →
39%Best headshot accuracy · 13–6 · dust2, 1 Oct →
414msFastest reaction time · 13–9 · inferno, 1 Oct →
13–1Biggest win · nuke, 1 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
4–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 57% over 21nukeWeakest map · 40% over 25
MapGradePlayedRecordWin rateAvg rating
nukeC2510–1540%0.00
infernoA2112–957%0.01
dust2B178–947%0.01
ancientB136–746%-0.01
anubisC73–443%-0.01
mirageC73–443%0.02
cache—42–250%0.02
overpass—41–325%-0.00
vertigo—11–0100%0.06
office—11–0100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 25). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.7%Headshot accuracy
31.0%Accuracy (enemy spotted)
34.1%Spray accuracy
74.7%Counter-strafing
12.0°Preaim
623msReaction time
41.3%T opening success
37.1%CT opening success
0.65Enemies flashed / flash
6.1%Flash assists
11.29HE damage / grenade
10.76Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0347° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Nuke

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

40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0232%11 Nov →
dust28–130.0019%11 Nov →
nuke13–70.0225%11 Nov →
anubis13–20.1121%4 Nov →
ancient13–160.0122%29 Oct →
nuke15–150.0418%29 Oct →
inferno13–70.0415%28 Oct →
nuke6–2-0.0118%28 Oct →
anubis13–80.0226%28 Oct →
nuke11–130.0620%23 Oct →
inferno11–13-0.0316%21 Oct →
cache3–13-0.0813%21 Oct →
nuke8–13-0.0311%21 Oct →
mirage7–13-0.0529%14 Oct →
inferno13–10-0.0122%14 Oct →
anubis5–13-0.0610%14 Oct →
nuke5–13-0.0617%7 Oct →
mirage7–130.0723%7 Oct →
ancient3–13-0.0910%2 Oct →
dust213–9-0.0418%2 Oct →
inferno13–90.0221%1 Oct →
dust26–13-0.0216%1 Oct →
dust213–60.0439%1 Oct →
dust29–130.0020%1 Oct →
cache13–50.0521%24 Sept →
dust26–130.0232%24 Sept →
inferno13–11-0.0415%12 Sept →
nuke13–9-0.0230%12 Sept →
nuke7–130.0320%9 Sept →
ancient13–7-0.0020%9 Sept →
nuke16–12-0.0118%9 Sept →
inferno9–13-0.0322%4 Sept →
dust25–13-0.0319%4 Sept →
anubis9–13-0.0915%4 Sept →
nuke13–10-0.0017%28 Aug →
dust213–70.0024%28 Aug →
inferno13–50.1032%28 Aug →
ancient13–100.0418%27 Aug →
nuke12–16-0.0017%27 Aug →
inferno11–130.0222%27 Aug →
mirage13–40.0525%26 Aug →
ancient15–150.0123%26 Aug →
mirage9–13-0.0120%19 Aug →
nuke8–130.0124%19 Aug →
ancient15–15-0.0624%19 Aug →
dust213–40.1020%19 Aug →
ancient5–130.0021%5 Aug →
inferno13–80.0420%5 Aug →
nuke6–130.0131%5 Aug →
inferno13–7-0.0422%31 Jul →
anubis11–130.0227%31 Jul →
cache13–40.1338%31 Jul →
nuke1–13-0.0715%31 Jul →
dust25–13-0.0921%29 Jul →
ancient9–13-0.0317%29 Jul →
anubis13–11-0.0521%29 Jul →
nuke13–10-0.0334%23 Jul →
anubis11–13-0.0017%17 Jul →
inferno8–00.1421%17 Jul →
nuke11–13-0.0126%17 Jul →
dust26–130.0211%14 Jul →
inferno15–150.0227%14 Jul →
ancient13–80.0215%10 Jul →
nuke13–80.0516%10 Jul →
inferno10–130.0125%9 Jul →
dust213–20.0634%9 Jul →
nuke11–130.0225%9 Jul →
vertigo13–100.0625%8 Jul →
cache12–12-0.0122%8 Jul →
office13–110.0220%8 Jul →
mirage13–60.1019%3 Jul →
overpass2–130.0131%3 Jul →
inferno6–13-0.0525%3 Jul →
ancient13–110.0130%3 Jul →
dust213–6-0.0925%2 Jul →
nuke13–5-0.0114%2 Jul →
nuke8–13-0.0116%1 Jul →
nuke13–10.0310%1 Jul →
mirage13–40.0123%18 Jun →
overpass11–13-0.0213%18 Jun →
nuke11–130.0717%17 Jun →
inferno9–13-0.0222%17 Jun →
inferno13–30.0522%12 Jun →
dust213–60.059%12 Jun →
nuke7–30.0519%12 Jun →
inferno13–6-0.039%11 Jun →
ancient13–60.0432%11 Jun →
nuke3–13-0.0716%11 Jun →
inferno13–5-0.0019%11 Jun →
ancient10–13-0.0119%10 Jun →
mirage2–130.0030%10 Jun →
ancient13–9-0.0239%5 Jun →
overpass13–16-0.0315%28 May →
inferno9–130.0224%28 May →
overpass13–100.0315%27 May →
dust213–50.1129%27 May →
dust21–70.000%22 May →
nuke8–13-0.0238%22 May →
inferno13–2-0.0324%22 May →
dust211–130.0427%21 May →

Match data via Leetify.

Recent teammates

Milestones

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

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