Very happy old lad

Very happy old lad — CS2 Stats

76561198042801684[U:1:82535956]Steam profile ↗✓ No bans

548Tracked matches60%Win rate2020Tracked since
CSDB Rating6.7 SolidSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 548 tracked matches. Play, then come back: the next observation lands here.

Rating over time

44Days played since 2022-04-24

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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CSDB.GGVery happy old ladFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning51
Utility87

0–100 skill scores via Leetify.

Recent form

STEADY59–41Last 10059%Win rateLLWWLLWWWW

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −5.9pp headshot accuracy · +26ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 545ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 560ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 547ms

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 (+3.1 against its own average).

Aim8.1
Utility8.7
Positioning5.1
Opening Duels3.0

High utility contribution

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 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Utility. Utility score of 87 — grenade impact well above the norm.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.5° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 49% on CT to 0% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.1
Positioning5.1
Utility8.7
Mechanics5.7
Opening Duels2.3
Win Impact8.3

Composite 6.7/10 (Solid), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time551ms+14ms
first ⅓ avg 538ms → last ⅓ avg 551ms
Headshot accuracy17.7%−0.6%
first ⅓ avg 18.3% → last ⅓ avg 17.7%

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

0.15Best match rating · 16–5 · dust2, 7 Nov →
32%Best headshot accuracy · 12–16 · inferno, 25 Aug →
387msFastest reaction time · 16–13 · vertigo, 24 Apr →
16–2Biggest win · inferno, 7 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
6–2In matches decided by ≤2 rounds
99Overtime games

Map breakdown

vertigoBest map · 67% over 15dust2Weakest map · 55% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA3822–1658%0.02
infernoA1610–663%0.02
vertigoS1510–567%0.01
dust2A116–555%0.01
overpassA106–460%0.01
nukeA85–363%0.01
train—10–10%0.07
ancient—10–10%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (55% over 11). Start with the 6 essential Dust 2 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.

18.0%Headshot accuracy
42.1%Accuracy (enemy spotted)
42.3%Spray accuracy
75.6%Counter-strafing
10.5°Preaim
540msReaction time
0.0%T opening success
48.8%CT opening success
0.59Enemies flashed / flash
12.4%Flash assists
14.00HE damage / grenade
11.31Flashes / 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 0% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
overpass10–16-0.0213%2 Dec →
nuke12–17-0.0419%2 Dec →
nuke16–90.0114%1 Dec →
dust216–140.0217%1 Dec →
vertigo1–16-0.0419%30 Nov →
overpass4–16-0.0519%30 Nov →
mirage16–130.0213%29 Nov →
inferno16–14-0.017%29 Nov →
nuke16–60.0515%16 Nov →
vertigo16–12-0.0220%16 Nov →
inferno16–130.0012%7 Nov →
nuke10–160.0026%7 Nov →
dust216–50.1530%7 Nov →
mirage16–19-0.0626%20 Oct →
inferno16–90.0519%20 Oct →
mirage16–90.0118%20 Oct →
mirage19–160.0525%19 Oct →
inferno18–220.0328%19 Oct →
nuke16–130.0715%19 Oct →
inferno13–160.0119%13 Oct →
mirage16–190.0916%3 Oct →
inferno16–70.0816%30 Sept →
inferno13–160.0516%30 Sept →
inferno19–160.0219%28 Sept →
mirage16–110.0315%25 Sept →
mirage16–130.0515%25 Sept →
dust25–16-0.0110%25 Sept →
vertigo5–16-0.059%22 Sept →
overpass16–60.0731%22 Sept →
inferno16–40.0313%22 Sept →
mirage19–220.0121%21 Sept →
vertigo15–30.0712%21 Sept →
mirage2–16-0.0421%21 Sept →
overpass13–20.0225%21 Sept →
inferno10–16-0.088%18 Sept →
mirage28–260.0421%17 Sept →
vertigo16–14-0.0423%17 Sept →
mirage16–60.0316%17 Sept →
inferno16–60.1325%16 Sept →
vertigo16–100.019%16 Sept →
inferno16–130.0319%16 Sept →
mirage16–14-0.0119%15 Sept →
vertigo11–160.0527%15 Sept →
mirage16–80.1330%15 Sept →
mirage11–16-0.0411%15 Sept →
mirage6–160.0113%15 Sept →
dust216–60.0717%14 Sept →
overpass16–9-0.0320%14 Sept →
mirage16–40.0411%14 Sept →
mirage13–160.0530%13 Sept →
mirage16–130.0217%12 Sept →
mirage16–120.0522%8 Sept →
mirage11–160.0222%8 Sept →
mirage14–160.0218%8 Sept →
mirage11–160.0215%8 Sept →
vertigo12–160.0221%7 Sept →
inferno16–2-0.0117%7 Sept →
vertigo16–90.0817%7 Sept →
mirage16–130.0026%6 Sept →
mirage16–70.0012%6 Sept →
inferno16–130.0123%6 Sept →
train6–160.0721%6 Sept →
overpass16–130.0623%25 Aug →
overpass16–60.0721%25 Aug →
inferno12–16-0.0232%25 Aug →
dust25–16-0.0716%24 Aug →
mirage11–16-0.0122%24 Aug →
vertigo14–16-0.0119%23 Aug →
mirage16–110.0219%23 Aug →
dust216–12-0.0623%23 Aug →
dust216–9-0.0129%22 Aug →
inferno13–16-0.078%15 Aug →
mirage16–40.1115%3 Aug →
nuke2–16-0.0219%3 Aug →
vertigo16–8-0.0211%29 Jul →
nuke16–8-0.0116%29 Jul →
overpass11–16-0.0220%8 Jul →
mirage19–240.0618%8 Jul →
mirage16–12-0.069%7 Jul →
mirage16–30.0513%16 Jun →
dust219–160.0024%14 Jun →
mirage6–16-0.0026%14 Jun →
mirage16–110.0225%14 Jun →
dust28–160.0027%1 Jun →
mirage11–16-0.0313%27 May →
dust212–16-0.0019%25 May →
overpass9–16-0.0413%25 May →
mirage16–190.0520%25 May →
vertigo16–120.0121%25 May →
mirage19–170.0223%22 May →
mirage16–100.0519%15 May →
overpass16–70.0529%15 May →
dust213–16-0.0218%30 Apr →
mirage16–19-0.0511%30 Apr →
vertigo22–18-0.0213%30 Apr →
mirage16–130.0019%30 Apr →
nuke16–80.0323%27 Apr →
vertigo16–110.0314%27 Apr →
vertigo16–130.0118%24 Apr →
ancient12–160.0213%24 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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