DiabeticDuck

DiabeticDuck — CS2 Stats

GB76561198102430198[U:1:142164470]Steam profile ↗✓ No bans

829Tracked matches40%Win rate2020Tracked since
1,279Hours in CS2Hrs last 2 wks
CSDB Rating4.6 DevelopingPositional Player
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

+18Tracked matches · now 829
+4.3ppWin rate · 35.7% → 40.0%

Rating over time

57Days played since 2026-05-11

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches18——
Win rate33%——
K/D0.93——
Headshot %41%——

Measured 22 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

Aim66
Positioning45
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY41–51–8Last 10041%Win rateLWLLWLLWLW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −0.5pp headshot accuracy · +33ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 552ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 534ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 518ms

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 (+1.4 against its own average).

Aim6.6
Utility2.9
Positioning4.5
Opening Duels1.9

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

sh1ro

Plays most like sh1ro 94% 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

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

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

Aim6.6
Positioning4.5
Utility2.9
Mechanics5.6
Opening Duels2.5
Win Impact1.7

Composite 4.6/10 (Developing), 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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time542ms−62ms
first ⅓ avg 604ms → last ⅓ avg 542ms
Headshot accuracy13.4%−2.7%
first ⅓ avg 16.1% → last ⅓ avg 13.4%

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

0.18Best match rating · 13–2 · office, 22 May →
50%Best headshot accuracy · 13–7 · office, 16 May →
336msFastest reaction time · 7–13 · office, 2 Sept →
13–0Biggest win · cache, 13 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–5In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 63% over 8vertigoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2010–1050%0.02
dust2D186–1233%0.00
officeB168–850%0.02
cacheC114–736%0.03
infernoA85–363%0.03
vertigoD72–529%0.03
anubisD62–433%-0.02
nukeD62–433%0.00
overpass—41–325%-0.06
ancient—41–325%0.01

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,147Lifetime kills
1.11K/D · Top 50% of tracked players
2,305Matches
41.7%Match win rate
36.7%Headshot %
9.9%Shot accuracy
5,518MVPs
723Hours (in match)
1,176Bombs planted
323Bombs defused

Most-used weapons

AK-478,051
AWP3,320
MAC-101,472
MP91,446
SSG 081,238
AUG1,118

Lifetime map wins

2,592dust2
2,453office
1,574nuke
1,558inferno
567vertigo
316lake
227train
211cbble

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

Faceit stats

Combat

10Matches
40%Win rate
1.03Avg K/D
—ADR
49%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient450%1.0715.8
Overpass333%0.8111.0
Vertigo250%1.2818.5
Inferno10%1.0520.0

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.

12.9%Headshot accuracy
35.5%Accuracy (enemy spotted)
39.9%Spray accuracy
75.0%Counter-strafing
10.4°Preaim
536msReaction time
42.6%T opening success
37.4%CT opening success
0.56Enemies flashed / flash
0.0%Flash assists
6.16HE damage / grenade
2.40Flashes / 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 12.8759% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.4042 — below the 4 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.4476% — below the 40% mark we flag

Spend your practice time on Vertigo

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0317%25 Oct →
inferno13–60.0318%23 Oct →
vertigo1–8-0.0613%23 Oct →
cache10–130.0210%14 Oct →
mirage13–7-0.0811%6 Oct →
anubis10–13-0.0411%6 Oct →
overpass11–13-0.059%6 Oct →
mirage13–50.049%5 Oct →
nuke8–13-0.0415%5 Oct →
mirage7–20.078%5 Oct →
dust22–130.0230%5 Oct →
dust28–13-0.0327%4 Oct →
nuke10–130.005%4 Oct →
mirage13–60.129%3 Oct →
vertigo5–130.0313%27 Sept →
inferno13–90.0613%22 Sept →
ancient11–13-0.025%21 Sept →
inferno4–13-0.105%21 Sept →
inferno13–80.018%11 Sept →
mirage2–13-0.0510%3 Sept →
ancient2–13-0.0510%3 Sept →
office7–13-0.039%2 Sept →
mirage13–70.0413%25 Aug →
mirage13–7-0.0418%24 Aug →
inferno10–130.0616%18 Aug →
dust23–13-0.0613%18 Aug →
mirage13–20.0313%18 Aug →
cache13–60.0818%18 Aug →
anubis13–9-0.0219%13 Aug →
dust210–130.1212%13 Aug →
cache10–130.0411%13 Aug →
dust213–100.0422%6 Aug →
ancient3–13-0.0120%6 Aug →
dust29–13-0.0725%5 Aug →
cache9–13-0.0027%5 Aug →
anubis13–90.0120%5 Aug →
inferno9–70.1611%3 Aug →
mirage11–13-0.037%31 Jul →
mirage10–130.038%30 Jul →
vertigo11–130.1312%29 Jul →
dust21–13-0.0113%29 Jul →
office5–13-0.088%28 Jul →
mirage12–120.0418%28 Jul →
vertigo12–12-0.0316%28 Jul →
cache13–70.0813%28 Jul →
office8–130.0721%27 Jul →
overpass4–13-0.1118%27 Jul →
vertigo13–20.1014%27 Jul →
cache11–130.0727%26 Jul →
mirage13–60.0521%23 Jul →
ancient13–30.1119%23 Jul →
nuke5–13-0.0514%14 Jul →
dust213–11-0.0210%8 Jul →
office5–13-0.0017%8 Jul →
office13–10.0330%8 Jul →
cache12–120.1213%5 Jul →
mirage10–130.1719%5 Jul →
office8–13-0.0433%3 Jul →
dust28–130.0518%3 Jul →
office9–130.0138%2 Jul →
overpass1–13-0.0521%2 Jul →
anubis12–120.0212%2 Jul →
office13–11-0.0621%30 Jun →
mirage9–130.039%28 Jun →
dust25–13-0.0019%27 Jun →
overpass13–8-0.0110%24 Jun →
dust213–80.0112%20 Jun →
inferno13–10-0.0018%16 Jun →
dust213–60.0311%16 Jun →
mirage4–13-0.0114%15 Jun →
cache13–0-0.0312%13 Jun →
mirage13–1-0.0214%12 Jun →
dust21–6-0.070%12 Jun →
office13–7-0.0119%4 Jun →
vertigo12–120.0119%4 Jun →
nuke13–80.009%3 Jun →
mirage12–12-0.0013%3 Jun →
dust213–80.008%28 May →
anubis1–13-0.0627%27 May →
office13–40.0513%26 May →
dust22–130.0110%26 May →
cache6–13-0.069%25 May →
mirage3–13-0.086%25 May →
dust212–12-0.0023%24 May →
anubis8–13-0.017%24 May →
dust213–80.018%23 May →
office13–20.1811%22 May →
nuke9–130.0121%22 May →
mirage13–70.0621%21 May →
dust23–8-0.0013%21 May →
nuke13–100.0912%21 May →
office13–100.0047%19 May →
inferno6–13-0.0232%19 May →
cache13–100.0213%17 May →
vertigo10–00.015%17 May →
office13–70.0750%16 May →
mirage12–12-0.0213%16 May →
office9–130.0319%14 May →
office3–130.0014%13 May →
office13–60.0219%11 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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