luckyducky69

luckyducky69 — CS2 Stats

CR76561198738391495[U:1:778125767]Steam profile ↗✓ No bans

377Tracked matches41%Win rate2026Tracked since
CSDB Rating2.2 LearningPositional Player
Premier CS Rating1,634Grey band · top ~93.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 1,634 → 1,634
+1Tracked matches · now 377
−3.4ppWin rate · 44.8% → 41.4%
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. 34 days played since 1 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 1,634 -754 1 Jul7 Sept · 3 days played
1,6342,388peak 2,3881 Jul7 Sept
2,388Peak Premier in tracked matches
34Days played since 2026-07-01

Premier CS Rating

  • 754 below peak (2,388)
  • Next: Light Blue band at 5,000 3,366 to go

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

Share this profile

CSDB.GGluckyducky69PREMIER1,634 · Grey bandcsdb.gg/stats

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Performance scores

Aim23
Positioning44
Utility24

0–100 skill scores via Leetify.

Recent form

COLD42562Last 10042%Win rateLWLWLLLLWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +0.2pp headshot accuracy · −35ms reaction

Win rate down 20pp 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

  • 23 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 619ms

Last 10

  • 37 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 10%
  • Avg reaction 638ms

Last 20

  • 812 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 10%
  • Avg reaction 656ms

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 PlayerPositioning stands above the rest of this profile (+1.7 against its own average).

Aim2.3
Utility2.4
Positioning4.4
Opening Duels1.2

Limited 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

iM

Plays most like iM 70% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 647ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% 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

Aim2.3
Positioning4.4
Utility2.4
Mechanics1.7
Opening Duels0.8
Win Impact2.1

Composite 2.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.04
first ⅓ avg -0.03 → last ⅓ avg 0.01
Reaction time628ms−29ms
first ⅓ avg 657ms → last ⅓ avg 628ms
Headshot accuracy9.5%+0.2%
first ⅓ avg 9.3% → last ⅓ avg 9.5%

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

0.19Best match rating · 13–7 · shelter, 10 Jul
25%Best headshot accuracy · 12–12 · overpass, 12 Jul
422msFastest reaction time · 0–13 · boulder, 9 Jul
12–0Biggest win · inferno, 25 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
66In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 56% over 18ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D2171433%0.01
mirageC1971237%-0.03
infernoA1810856%-0.02
nukeC167944%0.00
ancientD5050%-0.05
cache4040%0.03
office440100%-0.04
vertigo42250%-0.05
anubis43175%-0.01
shelter220100%0.10
overpass1010%-0.08
boulder1010%-0.09
train1010%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient 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.

10.6%Headshot accuracy
27.2%Accuracy (enemy spotted)
30.2%Spray accuracy
57.5%Counter-strafing
9.3°Preaim
647msReaction time
35.0%T opening success
31.5%CT opening success
0.33Enemies flashed / flash
4.0%Flash assists
4.40HE damage / grenade
3.14Flashes / 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 10.6137% — below the 15% mark we flag

    Aim Training
  2. 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 0.3307 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 34.9609% — below the 40% mark we flag

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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust27–13-0.037%7 Sept
mirage13–70.0614%4 Sept
nuke5–130.0117%4 Sept
dust213–90.047%3 Sept
nuke4–13-0.096%3 Sept
nuke9–130.0816%28 Aug
dust28–130.0010%28 Aug
dust24–130.0415%28 Aug
mirage13–70.164%27 Aug
cache2–8-0.050%27 Aug
dust213–50.0317%26 Aug
mirage8–13-0.0213%26 Aug
inferno14–16-0.0317%25 Aug
dust211–130.038%25 Aug
nuke4–00.0110%25 Aug
nuke6–10.080%25 Aug
nuke3–130.089%21 Aug
cache8–130.123%21 Aug
mirage13–4-0.0212%20 Aug
nuke13–80.026%20 Aug
mirage5–13-0.080%20 Aug
cache9–13-0.050%20 Aug
mirage11–13-0.0315%19 Aug
nuke13–80.0311%19 Aug
dust22–0-0.070%19 Aug
office13–7-0.028%13 Aug
inferno1–9-0.0617%13 Aug
inferno9–20.1410%13 Aug
nuke13–8-0.0513%11 Aug
nuke12–12-0.0124%10 Aug
inferno7–13-0.095%10 Aug
mirage13–11-0.0611%10 Aug
office13–10-0.019%10 Aug
mirage5–13-0.1114%10 Aug
vertigo4–9-0.1114%10 Aug
mirage3–13-0.099%8 Aug
inferno13–9-0.0420%8 Aug
inferno5–13-0.0510%8 Aug
dust210–130.0513%7 Aug
mirage9–2-0.018%7 Aug
ancient8–13-0.070%7 Aug
dust213–50.1711%6 Aug
dust28–13-0.0117%6 Aug
inferno13–80.056%6 Aug
mirage2–13-0.0417%6 Aug
dust23–13-0.0518%6 Aug
dust210–13-0.0314%6 Aug
dust22–100.0012%5 Aug
dust210–13-0.0216%5 Aug
nuke13–100.0314%3 Aug
inferno13–11-0.0214%3 Aug
nuke9–13-0.033%1 Aug
vertigo13–40.0211%1 Aug
dust29–13-0.0315%31 Jul
nuke13–40.097%31 Jul
nuke11–13-0.039%29 Jul
dust213–90.0515%29 Jul
inferno12–00.0822%25 Jul
mirage9–130.0216%25 Jul
vertigo1–13-0.0319%25 Jul
mirage3–13-0.016%25 Jul
inferno5–130.0215%25 Jul
dust213–90.0515%25 Jul
nuke8–13-0.1218%25 Jul
nuke4–13-0.0216%25 Jul
dust25–13-0.0214%25 Jul
inferno13–7-0.030%24 Jul
anubis13–11-0.057%24 Jul
ancient4–13-0.0711%21 Jul
inferno12–16-0.040%21 Jul
dust213–20.048%21 Jul
ancient6–13-0.0411%15 Jul
mirage8–13-0.0510%15 Jul
ancient7–13-0.017%14 Jul
dust27–13-0.028%14 Jul
mirage8–50.0010%13 Jul
overpass12–12-0.0825%12 Jul
vertigo9–6-0.115%12 Jul
mirage0–11-0.1614%12 Jul
anubis11–130.0212%12 Jul
dust25–130.018%10 Jul
shelter13–70.193%10 Jul
office13–3-0.076%10 Jul
inferno13–7-0.087%10 Jul
inferno7–9-0.136%10 Jul
inferno9–70.073%10 Jul
mirage9–13-0.0319%10 Jul
inferno4–9-0.1016%9 Jul
boulder0–13-0.0911%9 Jul
shelter13–70.029%9 Jul
inferno9–7-0.0713%9 Jul
office13–6-0.0616%8 Jul
anubis13–10-0.119%8 Jul
ancient7–13-0.0510%8 Jul
inferno13–9-0.029%8 Jul
anubis13–20.080%4 Jul
cache2–80.080%4 Jul
mirage13–7-0.049%3 Jul
mirage6–13-0.0117%1 Jul
train1–13-0.058%1 Jul

Match data via Leetify.

Recent teammates

Milestones

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