Daddy Long Legs

Daddy Long Legs — CS2 Stats

FI76561198168556108[U:1:208290380]Steam profile ↗✓ No bans

2,426Tracked matches63%Win rate2020Tracked since
CSDB Rating6.8 SolidOpening Duellist
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim70
Positioning69
Utility56

0–100 skill scores via Leetify.

Recent form

HOT59401Last 10059%Win rateWWWLWWWLLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −2.3pp headshot accuracy · −46ms 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

  • 41 · 80% win rate
  • Avg rating 0.10
  • Avg headshot accuracy 20%
  • Avg reaction 580ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 581ms

Last 20

  • 1361 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 604ms

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: Opening DuellistWinning opening duels is what stands out in this profile (+1.8 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim7.0
Utility5.6
Positioning6.9
Opening Duels7.6
Clutch3.2

Strong CT-side opener

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 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Strengths

CT openings. 70% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 70% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 587ms 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

Aim7.0
Positioning6.9
Utility5.6
Mechanics6.2
Opening Duels6.3
Win Impact9.4

Composite 6.8/10 (Solid), 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 rating0.03−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time591ms−7ms
first ⅓ avg 599ms → last ⅓ avg 591ms
Headshot accuracy17.7%+2.2%
first ⅓ avg 15.5% → last ⅓ avg 17.7%

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

0.36Best match rating · 9–1 · nuke, 3 Sept
39%Best headshot accuracy · 9–3 · vertigo, 24 Feb
422msFastest reaction time · 0–13 · vertigo, 15 Aug
13–2Biggest win · inferno, 23 Mar

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
179In matches decided by ≤2 rounds
16Overtime games

Map breakdown

nukeBest map · 77% over 26anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeS2620677%0.04
infernoB21101148%-0.00
dust2A148657%0.02
mirageS129375%0.02
overpassD62433%0.01
ancientS64267%0.03
anubisD51420%0.02
vertigo32167%0.11
train31233%0.03
golden1010%-0.03
transit110100%0.11
rooftop110100%0.16
jura1010%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,957Matches
50%Win rate
1.17Avg K/D
91.3ADR
40%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke23860%1.2519.4
Mirage20745%1.0918.1
Inferno17348%1.0718.0
Dust216945%1.1318.5
Ancient7336%1.1118.2
Anubis6854%1.0717.8
Train4538%1.1419.0
Vertigo3861%1.2419.9

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.

17.7%Headshot accuracy
36.6%Accuracy (enemy spotted)
40.3%Spray accuracy
77.8%Counter-strafing
10.9°Preaim
587msReaction time
40.5%T opening success
70.2%CT opening success
0.53Enemies flashed / flash
8.3%Flash assists
11.56HE damage / grenade
9.38Flashes / match

Recommended for you

Spend your practice time on Anubis

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.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage16–140.0429%30 Aug
inferno13–70.1315%15 Aug
mirage13–100.0926%15 Aug
vertigo0–130.0714%15 Aug
dust213–60.1416%15 Aug
dust213–110.0515%15 Aug
nuke13–70.0721%15 Aug
inferno1–9-0.2013%15 Aug
anubis8–130.0222%9 Aug
nuke13–70.0210%28 Jul
inferno13–110.0515%27 Jun
mirage13–50.037%27 Jun
dust213–5-0.0324%22 Apr
inferno8–8-0.0215%18 Apr
vertigo9–70.0831%18 Apr
nuke13–100.0730%14 Apr
inferno2–13-0.0628%11 Apr
overpass10–13-0.0116%10 Apr
inferno14–160.0420%10 Apr
nuke13–110.0320%10 Apr
ancient5–130.0018%10 Apr
mirage2–13-0.0715%7 Apr
overpass14–16-0.0013%2 Apr
overpass13–70.0521%2 Apr
mirage13–90.0915%1 Apr
mirage6–13-0.0210%29 Mar
nuke14–160.0420%25 Mar
inferno13–20.038%23 Mar
inferno13–110.0312%22 Mar
overpass13–110.0220%17 Mar
inferno22–180.0113%17 Mar
dust26–13-0.0118%4 Mar
inferno16–140.0416%1 Mar
nuke13–90.0613%24 Feb
vertigo9–30.1739%24 Feb
inferno21–25-0.0117%11 Feb
inferno13–80.0329%10 Feb
dust213–110.0418%9 Feb
nuke6–130.0414%5 Feb
nuke16–130.0529%2 Feb
anubis17–19-0.028%26 Jan
inferno13–90.0521%24 Jan
dust22–13-0.0611%21 Jan
inferno9–13-0.0317%19 Jan
inferno6–13-0.029%17 Jan
dust216–140.0325%17 Jan
mirage13–10-0.0026%17 Jan
inferno19–160.0216%15 Jan
nuke13–11-0.0425%13 Jan
nuke13–9-0.0121%13 Jan
anubis11–130.0217%13 Jan
anubis13–110.0426%11 Jan
mirage6–13-0.0410%10 Jan
overpass11–130.0113%9 Jan
nuke5–130.0616%8 Jan
nuke13–30.0019%6 Jan
dust28–13-0.0117%5 Jan
dust211–13-0.0915%4 Jan
inferno8–130.028%2 Jan
nuke13–70.0124%30 Dec
dust28–13-0.0014%29 Dec
nuke3–9-0.0425%20 Dec
train16–120.0712%12 Dec
ancient10–13-0.0418%5 Dec
ancient13–80.0714%3 Dec
nuke13–10-0.0412%29 Nov
dust213–60.0426%25 Nov
nuke9–130.0115%22 Nov
golden5–13-0.0314%18 Nov
dust213–110.0726%17 Nov
anubis5–90.0613%17 Nov
mirage13–30.0022%15 Nov
train11–13-0.029%12 Nov
ancient13–60.046%3 Nov
nuke13–50.0413%2 Nov
nuke13–50.0611%1 Nov
dust216–190.0112%28 Oct
mirage13–100.0722%22 Oct
mirage13–90.0111%18 Oct
ancient16–140.0314%16 Oct
inferno5–13-0.0813%15 Oct
nuke19–170.048%9 Oct
nuke13–80.0613%7 Oct
inferno3–13-0.0825%7 Oct
nuke13–90.0914%6 Oct
overpass10–130.0112%5 Oct
nuke13–100.0212%5 Oct
dust213–60.0314%5 Oct
nuke13–100.0314%4 Oct
inferno13–100.0117%4 Oct
transit9–30.1128%2 Oct
rooftop9–30.168%2 Oct
nuke8–13-0.0917%1 Oct
mirage13–11-0.0220%24 Sept
nuke16–140.0021%18 Sept
train11–130.0413%9 Sept
ancient13–60.0624%9 Sept
nuke9–10.3615%3 Sept
inferno4–9-0.058%3 Sept
jura8–13-0.0230%5 Aug

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 →