D1ce☂

D1ce☂ — CS2 Stats

NO76561198116014389[U:1:155748661]Steam profile ↗✓ No bans

1,487Tracked matches38%Win rate2021Tracked since
4,735Hours in CS2Hrs last 2 wks
CSDB Rating3.1 LearningClutch Specialist
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,293 +2,514 28 Jun – 1 Jul · 3 days played
14,77917,293peak 17,29328 Jun1 Jul
17,293Peak Premier in tracked matches
46Days played since 2025-06-28

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches7——
Win rate57%——
K/D0.89——
Headshot %53%——

Measured 23 Sep 2026 → 27 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim32
Positioning41
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateWWLLTLWWLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +0.8pp headshot accuracy · −25ms reaction

Win rate +10pp 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 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 608ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 599ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 611ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.3 against its own average).

Aim3.2
Utility4.5
Positioning4.1
Opening Duels0.6
Clutch4.8

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 69% 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. 620ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim3.2
Positioning4.1
Utility4.5
Mechanics3.4
Opening Duels0.7
Win Impact1.0

Composite 3.1/10 (Learning), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time632ms−19ms
first ⅓ avg 651ms → last ⅓ avg 632ms
Headshot accuracy16.9%+2.6%
first ⅓ avg 14.3% → last ⅓ avg 16.9%

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 · 9–4 · vertigo, 4 Sept →
31%Best headshot accuracy · 13–3 · nuke, 24 Feb →
477msFastest reaction time · 13–1 · inferno, 19 Sept →
13–1Biggest win · inferno, 19 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
6–10In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 71% over 7mirageWeakest map · 31% over 26
MapGradePlayedRecordWin rateAvg rating
mirageD268–1831%-0.01
infernoB157–847%-0.01
nukeB126–650%-0.02
overpassB126–650%-0.01
dust2D93–633%-0.03
ancientC83–538%-0.01
anubisS75–271%-0.02
cacheB63–350%-0.02
train—43–175%0.03
vertigo—11–0100%0.14

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 26). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,617Lifetime kills
1.26K/D · Top 25% of tracked players
3,916Matches
46.4%Match win rate · Top 50% of tracked players
40.7%Headshot %
16.5%Shot accuracy · Top 25% of tracked players
14,334MVPs
1,615Hours (in match)
6,225Bombs planted
2,413Bombs defused

Most-used weapons

AK-4737,586
AWP6,987
MP91,303
Knife1,250
FAMAS1,233

Lifetime map wins

8,253inferno
5,301dust2
2,916nuke
2,145vertigo
1,291train
630cbble
104dust
47lake

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

Faceit stats

Combat

299Matches
46%Win rate
1.03Avg K/D
68.1ADR
36%Headshot %

Clutches & streaks

44%1v1 clutch win
29%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1644%1.1516.3
Ancient1145%0.9614.4
Nuke743%1.0115.3
Inferno580%1.9119.2
Vertigo580%0.8712.8
Overpass475%0.9420.5
Anubis20%0.519.0
Dust210%2.0022.0

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.

16.3%Headshot accuracy
27.7%Accuracy (enemy spotted)
29.0%Spray accuracy
65.1%Counter-strafing
11.2°Preaim
620msReaction time
26.9%T opening success
35.3%CT opening success
0.51Enemies flashed / flash
5.7%Flash assists
7.03HE damage / grenade
6.30Flashes / 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 26.868% — below the 40% mark we flag

Spend your practice time on Mirage

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

31% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–100.0414%6 Sept →
mirage13–100.0111%6 Sept →
mirage9–130.0210%2 Sept →
cache9–130.0620%1 Sept →
mirage12–120.0311%1 Sept →
mirage8–13-0.0227%31 Aug →
cache13–60.0617%30 Aug →
cache13–4-0.0423%30 Aug →
inferno7–13-0.0621%13 Aug →
cache10–13-0.1020%2 Aug →
nuke8–13-0.0816%25 Jun →
anubis8–13-0.077%25 Jun →
cache13–9-0.0326%25 Jun →
dust27–130.0219%23 Jun →
nuke5–13-0.0918%23 Jun →
ancient10–13-0.017%23 Jun →
nuke16–140.0417%20 Jun →
ancient5–13-0.0614%20 Jun →
cache11–13-0.0418%17 Jun →
overpass13–70.0621%28 Mar →
overpass16–13-0.028%19 Mar →
mirage6–13-0.0617%8 Mar →
dust27–13-0.0612%8 Mar →
mirage6–13-0.0615%24 Feb →
nuke13–30.0131%24 Feb →
inferno13–100.0317%3 Feb →
inferno0–8-0.0710%3 Feb →
anubis16–14-0.1010%30 Jan →
mirage5–13-0.0524%24 Jan →
ancient4–13-0.0415%24 Jan →
inferno8–13-0.1011%24 Jan →
mirage11–130.0326%24 Jan →
anubis13–60.0424%20 Jan →
nuke13–100.028%4 Nov →
ancient10–13-0.0516%7 Oct →
inferno7–13-0.055%6 Oct →
train13–8-0.0115%6 Oct →
inferno6–13-0.0112%28 Sept →
anubis13–7-0.047%28 Sept →
ancient13–110.0015%19 Sept →
mirage13–20.0523%19 Sept →
inferno13–10.1122%19 Sept →
overpass13–50.027%14 Sept →
mirage11–130.0318%14 Sept →
mirage11–130.0421%9 Sept →
ancient11–130.0618%9 Sept →
overpass1–130.0118%7 Sept →
mirage1–13-0.0419%7 Sept →
dust212–120.0215%7 Sept →
ancient13–11-0.0519%5 Sept →
mirage10–13-0.0025%5 Sept →
vertigo9–40.1412%4 Sept →
nuke6–9-0.0116%4 Sept →
overpass6–9-0.0311%4 Sept →
inferno7–9-0.0217%4 Sept →
overpass11–130.0316%3 Sept →
mirage8–130.037%19 Aug →
inferno13–80.1114%18 Aug →
mirage2–12-0.100%14 Aug →
overpass13–7-0.0014%12 Aug →
mirage5–13-0.079%12 Aug →
inferno13–9-0.0718%12 Aug →
inferno3–13-0.0518%12 Aug →
nuke3–13-0.0921%12 Aug →
mirage4–13-0.069%10 Aug →
overpass2–13-0.0710%5 Aug →
overpass4–13-0.0324%5 Aug →
nuke10–13-0.0316%5 Aug →
train13–30.0411%5 Aug →
ancient13–50.0421%5 Aug →
mirage12–12-0.0514%5 Aug →
inferno13–90.0418%5 Aug →
dust211–13-0.0811%5 Aug →
mirage13–30.0216%30 Jul →
overpass13–10-0.0411%28 Jul →
mirage10–6-0.0112%25 Jul →
nuke6–13-0.1013%25 Jul →
inferno13–8-0.0213%25 Jul →
dust213–90.0215%25 Jul →
mirage13–50.0617%25 Jul →
mirage13–11-0.047%23 Jul →
overpass13–7-0.0311%22 Jul →
mirage13–110.0415%22 Jul →
inferno11–13-0.0711%19 Jul →
dust211–13-0.068%19 Jul →
mirage4–13-0.057%19 Jul →
overpass8–13-0.0317%19 Jul →
dust22–13-0.0521%19 Jul →
mirage13–20.019%15 Jul →
dust213–10-0.0215%15 Jul →
nuke13–5-0.0525%1 Jul →
anubis13–80.0112%1 Jul →
anubis9–13-0.0613%1 Jul →
nuke13–60.1116%1 Jul →
dust213–8-0.049%1 Jul →
nuke13–50.0423%29 Jun →
train13–20.0513%29 Jun →
anubis13–40.0619%29 Jun →
mirage4–13-0.0619%29 Jun →
train7–130.0619%28 Jun →

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 →

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