DaddyTool

DaddyTool — CS2 Stats

US76561199580619352[U:1:1620353624]Steam profile ↗✓ No bans

1,697Tracked matches46%Win rate2025Tracked since
946Hours in CS
CSDB Rating4.6 DevelopingAll-Rounder
Premier CS Rating1,256Grey band · top ~94.7% of ranked players (population est.)
WingmanSilver II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate41.1%38.2%39.9%above
Shot accuracy0.0%3.6%7.0%7.0% short
Kill/death ratio0.700.830.920.22 short
Match win rate41.4%40.2%42.3%0.9% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGDaddyToolPREMIER1,256 · Grey bandcsdb.gg/stats

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Performance scores

Aim52
Positioning48
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY41–56–3Last 10041%Win rateLLLWWWWWWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +3.6pp headshot accuracy · −39ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 750ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 735ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 755ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.2
Utility4.4
Positioning4.8
Opening Duels3.6

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

m0NESY

Plays most like m0NESY 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 721ms 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

Aim5.2
Positioning4.8
Utility4.4
Mechanics6.4
Opening Duels5.7
Win Impact3.8

Composite 4.6/10 (Developing), 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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time729ms−13ms
first ⅓ avg 742ms → last ⅓ avg 729ms
Headshot accuracy17.1%+1.6%
first ⅓ avg 15.5% → last ⅓ avg 17.1%

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 · 13–2 · nuke, 18 Oct →
38%Best headshot accuracy · 1–4 · nuke, 27 Oct →
469msFastest reaction time · 6–13 · train, 15 Oct →
13–0Biggest win · dust2, 29 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
3–4In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 63% over 8trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B4019–2148%-0.00
nukeC146–843%0.00
officeD93–633%0.01
mirageD92–722%-0.05
vertigoA85–363%-0.01
infernoC73–443%-0.01
trainD51–420%-0.03
cache—41–325%-0.06
overpass—20–20%-0.05
ancient—10–10%-0.07
poseidon—11–0100%-0.05

Across the last 100 tracked matches.

Lifetime stats

32,145Lifetime kills
0.70K/D
2,861Matches
41.4%Match win rate · Top 50% of Grey band
41.1%Headshot % · Top 50% of Grey band
0.0%Shot accuracy
3,888MVPs
946Hours (in match)
1,311Bombs planted
310Bombs defused

Most-used weapons

AK-474,490
AWP3,471
MP72,702
P902,385
XM10141,388
FAMAS1,085

Lifetime map wins

9,638dust2
2,508nuke
2,260inferno
2,127office
874vertigo
449train
96italy
1ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.2%Headshot accuracy
35.7%Accuracy (enemy spotted)
42.4%Spray accuracy
79.0%Counter-strafing
12.9°Preaim
721msReaction time
57.0%T opening success
48.7%CT opening success
0.55Enemies flashed / flash
5.9%Flash assists
7.64HE damage / grenade
6.27Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.9167° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 721.3851ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0913%4 Nov →
nuke7–13-0.0329%4 Nov →
dust210–130.0215%4 Nov →
office13–11-0.0421%4 Nov →
nuke13–80.0127%4 Nov →
dust213–7-0.0520%4 Nov →
office13–50.0118%4 Nov →
dust213–10.0726%4 Nov →
dust213–100.0313%4 Nov →
dust25–13-0.0421%3 Nov →
mirage3–13-0.143%3 Nov →
nuke8–130.0623%3 Nov →
dust25–13-0.0311%3 Nov →
inferno10–13-0.0218%3 Nov →
inferno13–8-0.1027%3 Nov →
dust213–100.0622%3 Nov →
mirage4–13-0.095%3 Nov →
vertigo13–60.0018%2 Nov →
dust213–11-0.0913%2 Nov →
dust20–13-0.0428%1 Nov →
dust29–130.0317%1 Nov →
dust26–13-0.0515%31 Oct →
dust213–40.1420%31 Oct →
inferno13–90.0213%31 Oct →
office9–130.0424%31 Oct →
vertigo10–13-0.046%31 Oct →
dust212–12-0.037%30 Oct →
cache11–13-0.0513%29 Oct →
dust213–00.0217%29 Oct →
office12–120.0720%29 Oct →
dust213–10-0.0115%28 Oct →
mirage13–10-0.0615%28 Oct →
train8–13-0.1011%28 Oct →
mirage0–13-0.1111%28 Oct →
dust28–13-0.0715%28 Oct →
dust213–10.0616%28 Oct →
nuke1–40.1138%27 Oct →
mirage11–13-0.0631%27 Oct →
dust213–20.039%27 Oct →
inferno0–13-0.0321%27 Oct →
train6–13-0.0215%27 Oct →
vertigo6–90.066%26 Oct →
overpass4–13-0.0527%26 Oct →
dust22–13-0.0811%25 Oct →
ancient7–13-0.0714%23 Oct →
dust213–9-0.0421%23 Oct →
nuke2–13-0.057%23 Oct →
cache1–11-0.0425%23 Oct →
mirage13–110.0016%23 Oct →
vertigo13–3-0.0522%23 Oct →
nuke2–13-0.130%19 Oct →
dust213–70.0316%18 Oct →
nuke10–13-0.0522%18 Oct →
dust26–8-0.0418%18 Oct →
dust23–3-0.030%18 Oct →
vertigo13–6-0.028%18 Oct →
nuke7–4-0.0313%18 Oct →
nuke13–20.1934%18 Oct →
mirage4–13-0.016%18 Oct →
dust21–10-0.0018%17 Oct →
dust23–130.0421%15 Oct →
train6–13-0.0014%15 Oct →
dust29–13-0.0312%14 Oct →
inferno13–10.0913%14 Oct →
dust23–13-0.0413%12 Oct →
dust212–12-0.006%12 Oct →
train13–20.0320%12 Oct →
dust28–13-0.0215%12 Oct →
office6–130.0319%12 Oct →
inferno5–130.029%12 Oct →
nuke7–13-0.0410%10 Oct →
mirage8–13-0.0616%10 Oct →
office9–13-0.1222%8 Oct →
office13–40.170%8 Oct →
dust213–70.088%8 Oct →
nuke8–13-0.019%7 Oct →
cache13–9-0.0813%7 Oct →
dust213–70.1115%7 Oct →
mirage7–130.0412%7 Oct →
train4–13-0.0315%7 Oct →
dust213–10-0.0311%6 Oct →
vertigo5–13-0.0519%6 Oct →
overpass5–13-0.058%6 Oct →
dust213–8-0.0220%6 Oct →
nuke13–3-0.060%6 Oct →
office8–13-0.0418%6 Oct →
dust213–100.0324%6 Oct →
dust29–13-0.0222%6 Oct →
dust213–40.039%6 Oct →
poseidon9–5-0.0533%6 Oct →
dust27–2-0.0021%6 Oct →
nuke13–100.078%6 Oct →
vertigo13–70.0410%6 Oct →
vertigo13–10-0.0036%6 Oct →
inferno9–13-0.084%5 Oct →
nuke8–2-0.036%5 Oct →
dust29–13-0.0528%5 Oct →
cache7–13-0.0533%5 Oct →
office7–13-0.0122%5 Oct →
dust23–13-0.0717%5 Oct →

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 →

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