retaaaard

retaaaard — CS2 Stats

76561199555523175[U:1:1595257447]Steam profile ↗✓ No bans

528Tracked matches45%Win rate2024Tracked since
CSDB Rating3.8 LearningPositional Player
Premier CS Rating11,633Blue band · top ~46.2% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 528 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,633 -414 12 Feb – 18 Sept · 34 days played
10,41913,237peak 13,23712 Feb18 Sept
13,237Peak Premier in tracked matches
38Days played since 2026-02-10

Premier CS Rating

  • 1,604 below peak (13,237)
  • Next: Purple band at 15,000 — 3,367 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-04
  • Light Blue band first seen 2026-09-04

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

Share this profile

CSDB.GGretaaaardFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER11,633 · Blue bandcsdb.gg/stats

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Performance scores

Aim55
Positioning32
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateTLWLWWWWLL

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −0.5pp headshot accuracy · −18ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 616ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 631ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 640ms

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 (+1.5 against its own average).

Aim5.5
Utility1.9
Positioning3.2
Opening Duels0.0

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

jL

Plays most like jL 93% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 40% on CT to 12% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms 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

Aim5.5
Positioning3.2
Utility1.9
Mechanics6.4
Opening Duels1.3
Win Impact3.3

Composite 3.8/10 (Learning), 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 rating-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time632ms+3ms
first ⅓ avg 629ms → last ⅓ avg 632ms
Headshot accuracy17.5%+2.7%
first ⅓ avg 14.9% → last ⅓ avg 17.5%

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

0.11Best match rating · 13–6 · dust2, 5 Mar →
38%Best headshot accuracy · 6–1 · train, 18 May →
406msFastest reaction time · 0–7 · inferno, 13 Mar →
13–1Biggest win · ancient, 10 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
12–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 75% over 8anubisWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC3011–1937%-0.01
dust2C219–1243%-0.02
anubisC114–736%0.00
ancientC104–640%-0.01
infernoB84–450%-0.07
nukeS86–275%-0.00
overpassB63–350%-0.03
cache—30–30%-0.03
office—21–150%-0.07
train—11–0100%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

13Matches
38%Win rate
0.78Avg K/D
—ADR
37%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno667%0.8913.5
Vertigo30%0.8313.7
Nuke250%0.5210.0
Ancient20%0.6611.0

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.

16.9%Headshot accuracy
32.8%Accuracy (enemy spotted)
35.9%Spray accuracy
78.9%Counter-strafing
11.0°Preaim
644msReaction time
12.4%T opening success
40.3%CT opening success
0.31Enemies flashed / flash
1.0%Flash assists
5.02HE damage / grenade
3.42Flashes / 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 0.3112 — below the 0.5 mark we flag

    Grenade Lineups →
  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 12.402% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient12–12-0.019%6 Jul →
cache9–13-0.0417%5 Jul →
inferno9–5-0.0921%18 May →
office6–13-0.0710%18 May →
office13–11-0.0716%18 May →
train6–10.0438%18 May →
inferno13–70.0016%16 May →
inferno13–11-0.077%10 May →
overpass9–13-0.0521%10 May →
nuke7–90.0719%1 May →
cache8–130.0318%1 May →
cache9–13-0.0720%1 May →
anubis8–13-0.0116%25 Apr →
ancient13–40.0325%18 Apr →
mirage13–100.0215%8 Apr →
dust213–110.0118%6 Apr →
dust28–13-0.0023%6 Apr →
overpass7–13-0.065%5 Apr →
dust213–60.0622%5 Apr →
anubis13–40.0817%5 Apr →
mirage10–130.0122%22 Mar →
nuke13–10-0.0023%22 Mar →
mirage8–13-0.0031%22 Mar →
mirage14–16-0.026%22 Mar →
mirage13–16-0.0126%18 Mar →
mirage7–13-0.0319%17 Mar →
dust29–13-0.076%15 Mar →
nuke13–110.0217%15 Mar →
mirage1–13-0.0620%15 Mar →
dust27–13-0.0213%15 Mar →
mirage13–90.0513%14 Mar →
dust213–11-0.0119%13 Mar →
inferno0–7-0.0813%13 Mar →
mirage13–110.0411%12 Mar →
anubis13–80.0613%11 Mar →
nuke13–50.0018%11 Mar →
mirage13–11-0.0322%11 Mar →
anubis10–130.019%10 Mar →
ancient13–1-0.039%10 Mar →
overpass13–7-0.0518%10 Mar →
anubis7–130.028%9 Mar →
dust25–13-0.0927%9 Mar →
inferno13–11-0.0418%9 Mar →
mirage12–160.0310%9 Mar →
inferno8–8-0.1024%9 Mar →
mirage1–13-0.0411%5 Mar →
dust210–13-0.0516%5 Mar →
dust213–60.1119%5 Mar →
overpass13–11-0.0018%5 Mar →
mirage13–11-0.0211%5 Mar →
mirage11–130.008%5 Mar →
anubis6–13-0.0623%5 Mar →
inferno2–9-0.1214%3 Mar →
dust26–13-0.0630%3 Mar →
ancient4–13-0.0212%3 Mar →
mirage5–13-0.0210%3 Mar →
dust213–8-0.0115%3 Mar →
mirage14–16-0.0115%3 Mar →
dust29–13-0.0017%2 Mar →
mirage13–3-0.049%2 Mar →
dust213–20.089%2 Mar →
overpass9–13-0.049%1 Mar →
dust213–7-0.0122%27 Feb →
ancient14–160.0418%27 Feb →
mirage13–50.0222%27 Feb →
mirage6–13-0.0128%25 Feb →
nuke11–2-0.0010%25 Feb →
dust213–110.0322%25 Feb →
anubis1–13-0.1022%24 Feb →
dust28–13-0.0026%24 Feb →
mirage13–40.0222%24 Feb →
mirage14–16-0.0614%20 Feb →
dust210–13-0.027%19 Feb →
dust25–13-0.098%19 Feb →
anubis10–13-0.029%18 Feb →
ancient6–13-0.0419%18 Feb →
mirage15–150.0415%17 Feb →
ancient4–13-0.0512%17 Feb →
anubis9–13-0.0019%17 Feb →
mirage12–160.0418%17 Feb →
dust22–13-0.0836%17 Feb →
ancient13–4-0.0310%15 Feb →
dust216–13-0.0620%14 Feb →
mirage13–9-0.0011%13 Feb →
mirage3–13-0.0313%13 Feb →
inferno5–13-0.037%12 Feb →
nuke13–8-0.0714%12 Feb →
anubis13–6-0.0016%12 Feb →
mirage9–13-0.0610%12 Feb →
overpass13–9-0.0112%12 Feb →
ancient11–13-0.0115%12 Feb →
mirage13–50.017%11 Feb →
nuke13–90.0314%11 Feb →
nuke6–13-0.0812%11 Feb →
mirage13–10-0.0612%11 Feb →
anubis13–100.0620%11 Feb →
mirage5–13-0.0315%10 Feb →
dust24–13-0.087%10 Feb →
mirage5–13-0.0410%10 Feb →
ancient13–110.0018%10 Feb →

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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