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-_-Daddy — CS2 Stats

76561199183057596[U:1:1222791868]

968Tracked matches30%Win rate2021Tracked since
2,574Hours in CS2Hrs last 2 wks
CSDB Rating4.5 DevelopingHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim65
Positioning47
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY42–58Last 10042%Win rateWWWLWLLLWL

Last 10 vs previous 10: +50pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.5
Aggression6.0
Utility2.9
Positioning4.7
Opening Duels3.2
Clutch3.2

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.

Your pro match

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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.

Reaction time. 659ms 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

Aim6.5
Positioning4.7
Utility2.9
Mechanics7.0
Opening Duels3.2
Win Impact0.0

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time670ms+41ms
first ⅓ avg 629ms → last ⅓ avg 670ms
Headshot accuracy18.0%−9.2%
first ⅓ avg 27.1% → last ⅓ avg 18.0%

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.

Highlights

0.11Best rating — dust2 13–8
13–2Biggest win — anubis
5Longest win streak
W3Current streak
9–13In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 67% over 6infernoWeakest map · 33% over 33
MapGradePlayedRecordWin rateAvg rating
infernoD3311–2233%-0.03
ancientB2613–1350%-0.01
anubisC2410–1442%-0.02
overpassS64–267%0.00
dust2—42–250%0.01
vertigo—42–250%-0.03
train—20–20%-0.01
mirage—10–10%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 33). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,674Lifetime kills
0.88K/D
2,183Matches
48.1%Match win rate · Top 50% of tracked players
45.8%Headshot % · Top 50% of tracked players
6.7%Shot accuracy
4,284MVPs
1,047Hours (in match)
1,947Bombs planted
474Bombs defused

Most-used weapons

AK-4714,456
M4A4 / M4A1-S7,330
AWP2,774
Desert Eagle1,846
P2000 / USP-S1,679
Knife1,607
MP91,532
Glock-181,389
Galil AR1,173
Five-SeveN611

Lifetime map wins

7,761inferno
3,997dust2
921train
801vertigo
593nuke

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

Faceit stats

Combat

2,123Matches
51%Win rate
1.01Avg K/D
74.3ADR
46%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno42053%1.0514.5
Ancient37649%1.0315.3
Anubis34754%1.0315.7
Dust217242%0.9615.3
Overpass7560%1.0615.2
Train6648%1.1316.8
Mirage5841%0.9013.3
Nuke3033%0.8613.0

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.

18.5%Headshot accuracy
35.8%Accuracy (enemy spotted)
42.2%Spray accuracy
81.3%Counter-strafing
11.7°Preaim
659msReaction time
39.4%T opening success
45.8%CT opening success
0.66Enemies flashed / flash
3.9%Flash assists
15.52HE damage / grenade
4.02Flashes / 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 39.44% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–80.0330%27 Aug →
anubis13–100.0230%3 Aug →
anubis13–6-0.0137%17 Jul →
inferno7–13-0.0525%1 Jun →
dust213–80.1125%1 Jun →
inferno4–13-0.0115%8 Mar →
dust21–13-0.0411%18 Feb →
overpass10–130.0117%29 Oct →
dust213–80.0120%26 Oct →
ancient10–13-0.0316%21 Sept →
inferno12–16-0.0113%20 Sept →
train14–160.0120%20 Aug →
ancient6–13-0.027%11 Aug →
inferno10–13-0.049%11 Aug →
train9–13-0.0328%20 Jul →
inferno9–130.0115%20 Jul →
anubis12–160.0116%9 Jun →
anubis6–13-0.0726%3 Jun →
ancient9–13-0.0317%27 May →
ancient7–13-0.1011%17 May →
ancient13–6-0.0117%5 May →
ancient9–13-0.0424%24 Apr →
inferno5–13-0.0615%13 Mar →
inferno10–13-0.0216%4 Mar →
inferno13–90.0115%25 Feb →
dust211–13-0.0217%12 Jan →
ancient13–110.0815%25 Nov →
inferno4–13-0.0713%19 Nov →
anubis5–13-0.0215%9 Nov →
inferno13–8-0.0117%7 Nov →
inferno2–13-0.0810%3 Nov →
ancient6–130.0015%26 Oct →
inferno14–16-0.0212%22 Sept →
anubis13–90.0111%18 Sept →
vertigo13–60.0222%18 Aug →
ancient13–5-0.0117%12 Aug →
anubis13–90.0319%5 Aug →
inferno19–17-0.0116%14 Jun →
inferno6–13-0.0319%17 May →
anubis6–13-0.116%12 May →
ancient10–13-0.0425%29 Apr →
anubis8–13-0.1013%27 Apr →
anubis17–19-0.0310%26 Apr →
overpass19–17-0.0229%25 Apr →
anubis13–80.0417%10 Mar →
inferno11–13-0.0517%9 Mar →
ancient13–9-0.058%9 Mar →
anubis13–100.0119%8 Mar →
inferno3–13-0.0919%8 Mar →
anubis7–13-0.0923%8 Mar →
anubis4–130.0419%6 Mar →
ancient8–13-0.0113%5 Mar →
inferno4–130.0223%4 Mar →
ancient13–110.0318%3 Mar →
ancient8–13-0.0532%3 Mar →
anubis11–13-0.048%2 Mar →
overpass13–70.0120%2 Mar →
ancient4–13-0.0817%1 Mar →
anubis11–13-0.0418%1 Mar →
ancient13–8-0.0229%1 Mar →
anubis11–13-0.0925%29 Feb →
inferno13–11-0.0322%27 Feb →
inferno13–9-0.0319%27 Feb →
vertigo4–13-0.1021%27 Feb →
anubis8–13-0.0414%27 Feb →
overpass9–13-0.0119%26 Feb →
overpass13–70.0129%26 Feb →
anubis13–9-0.0513%26 Feb →
ancient8–20.0429%26 Feb →
inferno5–13-0.0617%26 Feb →
ancient17–190.0116%26 Feb →
inferno11–13-0.0818%25 Feb →
anubis13–20.1032%25 Feb →
inferno7–13-0.0915%25 Feb →
ancient13–10-0.0522%25 Feb →
ancient13–70.0624%25 Feb →
inferno9–13-0.0430%25 Feb →
vertigo11–130.0237%25 Feb →
inferno5–130.0219%25 Feb →
ancient13–30.0836%25 Feb →
vertigo13–7-0.0430%21 Feb →
mirage10–13-0.0727%21 Feb →
ancient9–13-0.0228%20 Feb →
ancient16–14-0.0435%19 Feb →
inferno13–11-0.0131%19 Feb →
anubis13–20.0522%19 Feb →
inferno5–13-0.0624%17 Feb →
anubis7–13-0.0822%17 Feb →
inferno13–100.0326%16 Feb →
inferno13–80.0542%16 Feb →
anubis19–220.0131%15 Feb →
ancient13–9-0.0524%12 Feb →
overpass13–100.0529%11 Feb →
inferno11–13-0.0142%11 Feb →
inferno13–11-0.0439%11 Feb →
inferno16–13-0.0143%10 Feb →
anubis16–14-0.0215%8 Feb →
inferno10–13-0.0723%7 Feb →
ancient13–80.0220%7 Feb →
ancient11–130.0732%6 Feb →

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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