CasualDaddy

CasualDaddy — CS2 Stats

DE76561197990082723[U:1:29816995]Steam profile ↗✓ No bans

1,907Tracked matches55%Win rate2020Tracked since
2,578Hours in CS
CSDB Rating7.1 StrongPositional Player
FaceitLevel 9 · 2,215 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,215 → 2,215
+2Tracked matches · now 1,907
0.0ppWin rate · 55.2% → 55.2%

Rating over time

Premier CS Rating: 18,100 +5,083 1 Jan – 17 Jan · 8 days played
13,01718,100peak 18,1001 Jan17 Jan
18,100Peak Premier in tracked matches
2,215Highest Faceit ELO seen on CSDB
63Days played since 2024-11-08

Faceit ELO

  • At peak — 2,215
  • Next: 2,500 ELO at 2,500 — 285 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-21
  • Level 9 first seen 2026-09-21

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate44.3%48.2%50.9%6.6% short
Shot accuracy14.1%13.2%13.7%above
Kill/death ratio1.081.071.09meets
Match win rate49.6%46.9%48.4%above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCasualDaddyFACEITLevel 9 · 2,215 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,215csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim79
Positioning74
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateWWWLWWLLWL

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +3.0pp headshot accuracy · −14ms reaction

Win rate up 30pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 564ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 600ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 607ms

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 (+1.6 against its own average).

Aim7.9
Utility5.6
Positioning7.4
Opening Duels6.3
Clutch3.8

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

s1mple

Plays most like s1mple 85% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

Reaction time. 595ms 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

Aim7.9
Positioning7.4
Utility5.6
Mechanics8.1
Opening Duels5.2
Win Impact6.7

Composite 7.1/10 (Strong), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time596ms−15ms
first ⅓ avg 611ms → last ⅓ avg 596ms
Headshot accuracy21.3%−0.8%
first ⅓ avg 22.2% → last ⅓ avg 21.3%

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 · 13–7 · nuke, 4 Mar →
46%Best headshot accuracy · 13–9 · nuke, 25 Jun →
453msFastest reaction time · 11–13 · ancient, 11 Mar →
13–1Biggest win · dust2, 6 Jan →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
11–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 68% over 22dust2Weakest map · 45% over 22
MapGradePlayedRecordWin rateAvg rating
ancientS2215–768%0.02
dust2B2210–1245%-0.00
infernoB2211–1150%-0.01
nukeB168–850%0.01
anubisB126–650%0.00
overpass—32–167%-0.01
vertigo—21–150%-0.01
mirage—11–0100%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

107,981Lifetime kills
1.08K/D · Top 50% of Level 9 players
4,800Matches
49.6%Match win rate · Top 25% of Level 9 players
44.3%Headshot %
14.1%Shot accuracy · Top 50% of Level 9 players
12,258MVPs
2,578Hours (in match)
6,512Bombs planted
1,430Bombs defused

Most-used weapons

AK-4737,488
AWP15,062
P2502,973
AUG1,963
Knife1,840

Lifetime map wins

10,894inferno
7,306dust2
3,076cbble
2,722nuke
1,378train
370vertigo
179lake
139militia

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

Faceit stats

Combat

1,743Matches
51%Win rate
1.12Avg K/D
77.4ADR
46%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient25153%1.0715.8
Dust224648%1.1015.7
Inferno20358%1.2215.8
Nuke13045%1.1115.7
Anubis12144%1.1116.6
Mirage3944%1.0415.5
Overpass3352%1.1715.7
Vertigo1747%0.8413.2

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.

21.4%Headshot accuracy
35.4%Accuracy (enemy spotted)
38.8%Spray accuracy
86.3%Counter-strafing
9.9°Preaim
595msReaction time
44.4%T opening success
57.3%CT opening success
0.58Enemies flashed / flash
11.7%Flash assists
9.53HE damage / grenade
12.32Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

45% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–8-0.0218%12 May →
ancient13–8-0.0114%25 Apr →
dust213–60.0833%13 Apr →
dust26–130.0029%20 Mar →
inferno13–7-0.0215%13 Mar →
nuke13–70.1417%4 Mar →
nuke17–190.0328%27 Feb →
nuke6–13-0.0317%31 Jan →
overpass13–80.0326%18 Jan →
inferno7–130.0019%11 Jan →
inferno4–13-0.0415%4 Jan →
inferno11–13-0.0513%3 Jan →
nuke12–160.0222%28 Dec →
nuke14–16-0.0220%19 Dec →
dust213–50.0218%28 Nov →
inferno13–70.0122%24 Oct →
inferno10–13-0.0717%12 Oct →
inferno12–120.0424%14 Sept →
overpass9–13-0.0614%21 Aug →
overpass13–80.0022%28 Jul →
ancient10–130.0418%28 Jul →
dust27–13-0.0616%4 Jul →
inferno13–110.0326%1 Jul →
ancient13–100.0426%27 Jun →
inferno13–10-0.0415%26 Jun →
nuke13–9-0.0546%25 Jun →
inferno13–50.0224%25 Jun →
ancient16–120.0318%24 Jun →
anubis13–50.0518%23 Jun →
dust23–13-0.0525%29 May →
anubis3–13-0.0513%26 May →
nuke8–130.0127%26 May →
anubis13–60.0230%11 May →
ancient13–90.0413%7 May →
dust210–130.0332%6 May →
nuke13–10-0.0016%2 May →
anubis13–70.048%27 Apr →
inferno9–13-0.0743%25 Apr →
ancient13–80.1016%24 Apr →
inferno13–110.0122%22 Apr →
nuke9–13-0.0611%31 Mar →
anubis22–20-0.0121%27 Mar →
dust211–13-0.0214%17 Mar →
nuke11–13-0.0416%17 Mar →
ancient6–13-0.0231%14 Mar →
dust210–13-0.0318%11 Mar →
ancient13–100.0320%11 Mar →
ancient11–13-0.0415%11 Mar →
dust211–13-0.0125%11 Mar →
inferno13–160.0125%23 Feb →
ancient7–13-0.066%23 Feb →
dust22–13-0.0229%23 Feb →
ancient13–70.0817%21 Feb →
dust213–90.0428%21 Feb →
nuke13–80.0331%21 Feb →
nuke13–50.0019%18 Feb →
anubis11–13-0.0121%18 Feb →
inferno11–13-0.0215%18 Feb →
dust213–80.0421%18 Feb →
dust213–70.0629%17 Feb →
ancient13–110.0620%9 Feb →
nuke13–90.0527%8 Feb →
ancient6–13-0.0618%8 Feb →
inferno16–130.0320%8 Feb →
ancient13–7-0.0210%8 Feb →
dust26–13-0.0918%8 Feb →
dust213–11-0.0627%27 Jan →
dust213–110.0318%17 Jan →
anubis9–130.0320%17 Jan →
anubis10–130.0323%16 Jan →
ancient13–100.0522%16 Jan →
inferno11–13-0.0020%16 Jan →
inferno10–13-0.0218%15 Jan →
inferno13–110.0027%15 Jan →
inferno13–8-0.0529%15 Jan →
anubis13–6-0.0241%12 Jan →
dust213–110.0332%9 Jan →
nuke2–13-0.0119%9 Jan →
inferno13–9-0.0015%9 Jan →
nuke13–60.0324%9 Jan →
dust213–10.1024%6 Jan →
nuke13–80.1227%6 Jan →
ancient13–80.0313%6 Jan →
inferno13–6-0.0121%2 Jan →
anubis13–110.0023%1 Jan →
inferno10–13-0.0123%1 Jan →
vertigo13–30.0133%1 Jan →
ancient3–13-0.0221%1 Jan →
dust23–13-0.0810%1 Jan →
vertigo5–13-0.0322%1 Jan →
anubis3–13-0.0223%26 Nov →
anubis7–13-0.0319%26 Nov →
ancient13–70.019%21 Nov →
dust26–13-0.0219%15 Nov →
dust213–10-0.0119%14 Nov →
mirage13–70.0541%14 Nov →
ancient16–14-0.0125%12 Nov →
dust219–22-0.0117%12 Nov →
ancient11–130.0619%8 Nov →
ancient13–110.0916%8 Nov →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.