xDaylily

xDaylily — CS2 Stats

US76561199017306827[U:1:1057041099]Steam profile ↗

1,414Tracked matches60%Win rate2021Tracked since
CSDB Rating3.4 Learning
Premier CS Rating9,329Light Blue band · top ~58.1% of ranked players (population est.)
CSDB Leaderboard#33609 of 46091 tracked
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGxDaylilyFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER9,329 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim27
Positioning48
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY55423Last 10055%Win rateWLWLWLLLLW

Last 10 vs previous 10: -30pp win rate · +0.04 avg rating

Player DNA

Aim2.7
Aggression4.5
Utility4.9
Positioning4.8
Opening Duels0.5
Clutch6.0

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 74% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Reaction time. 682ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.7
Positioning4.8
Utility4.9
Mechanics2.9
Opening Duels0.5
Win Impact8.3

Composite 3.4/10 (Learning), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time677ms+44ms
first ⅓ avg 633ms → last ⅓ avg 677ms
Headshot accuracy8.7%−1.1%
first ⅓ avg 9.8% → last ⅓ avg 8.7%

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.

Highlights

0.11Best rating — dust2 13–1
131Biggest win — mirage
6Longest win streak
76In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 80% over 5ancientWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
mirageA28171161%0.01
dust2A25141156%-0.01
ancientC1871139%-0.02
infernoB115645%0.00
anubisB84450%0.00
cacheS54180%-0.02
nuke330100%-0.02
overpass21150%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

18Matches
33%Win rate
0.62Avg K/D
63.8ADR
34%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.7311.0
Anubis250%0.7012.0
Inferno10%0.9415.0
Dust21100%1.2515.0

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.

9.0%Headshot accuracy
36.2%Accuracy (enemy spotted)
40.3%Spray accuracy
63.0%Counter-strafing
14.2°Preaim
682msReaction time
31.5%T opening success
32.6%CT opening success
0.59Enemies flashed / flash
2.6%Flash assists
7.82HE damage / grenade
5.29Flashes / 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 14.1721° — above the 12° mark we flag

    Aim Training
  2. 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 9.0157% — below the 15% mark we flag

    Aim Training
Spend your practice time on Ancient

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

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–110.029%21 Aug
mirage13–160.038%19 Aug
mirage13–60.0213%1 Aug
dust210–13-0.0312%1 Aug
dust213–30.018%1 Aug
ancient5–130.044%1 Aug
dust27–130.016%28 Jul
mirage14–16-0.0113%26 Jul
dust21–130.020%21 Jul
mirage13–90.118%14 Jul
dust213–90.0011%14 Jul
cache13–6-0.025%14 Jul
dust213–4-0.0511%14 Jul
ancient13–40.107%13 Jul
dust216–12-0.025%13 Jul
mirage6–13-0.045%12 Jul
cache4–13-0.074%12 Jul
ancient11–13-0.053%12 Jul
mirage13–3-0.015%12 Jul
cache13–11-0.0412%12 Jul
mirage13–11-0.0116%12 Jul
nuke13–8-0.039%12 Jul
anubis10–13-0.0010%10 Jul
nuke16–120.079%9 Jul
cache13–90.0210%9 Jul
dust213–9-0.0011%9 Jul
dust213–5-0.049%9 Jul
dust25–13-0.0516%9 Jul
mirage5–130.0111%9 Jul
dust213–70.0014%5 Jul
inferno13–6-0.022%22 Jun
dust213–30.108%22 Jun
anubis13–20.0212%21 Jun
inferno13–60.046%21 Jun
inferno14–160.027%20 Jun
ancient4–13-0.024%20 Jun
dust27–13-0.058%20 Jun
nuke13–6-0.105%20 Jun
dust216–14-0.0111%19 Jun
mirage8–130.028%19 Jun
dust210–130.0310%19 Jun
anubis13–50.034%19 Jun
mirage13–10.072%17 Jun
anubis9–13-0.048%17 Jun
anubis13–30.085%17 Jun
ancient13–5-0.0011%17 Jun
mirage15–15-0.0211%16 Jun
inferno10–13-0.016%15 Jun
ancient16–14-0.037%13 Jun
mirage13–90.027%28 May
inferno13–50.057%28 May
mirage1–13-0.047%27 Apr
anubis9–13-0.0311%24 Apr
ancient15–15-0.0314%24 Apr
mirage11–130.0313%15 Apr
dust213–10.116%15 Apr
dust213–4-0.0323%31 Mar
mirage13–160.008%18 Mar
mirage5–13-0.103%18 Mar
dust211–130.0313%18 Mar
ancient8–13-0.058%17 Mar
mirage13–70.0210%17 Mar
mirage13–10-0.0215%17 Mar
mirage13–20.018%16 Mar
dust25–130.0423%16 Mar
ancient8–13-0.055%16 Mar
mirage13–160.009%15 Mar
dust213–8-0.015%15 Mar
inferno13–7-0.037%15 Mar
ancient13–30.044%15 Mar
anubis8–13-0.057%14 Mar
ancient11–13-0.029%14 Mar
ancient13–10-0.058%14 Mar
dust22–12-0.0511%13 Mar
inferno9–13-0.037%13 Mar
inferno13–16-0.0512%13 Mar
mirage13–90.0912%12 Mar
ancient13–8-0.018%12 Mar
mirage13–11-0.0111%12 Mar
anubis13–110.035%10 Mar
ancient1–13-0.0317%10 Mar
dust216–130.0015%10 Mar
mirage16–13-0.009%9 Mar
mirage13–50.031%9 Mar
mirage13–100.017%8 Mar
dust213–3-0.0616%8 Mar
mirage9–20.0013%8 Mar
dust29–13-0.0415%8 Mar
inferno9–13-0.0312%8 Mar
overpass7–130.043%7 Mar
mirage13–80.0712%7 Mar
mirage13–50.058%7 Mar
overpass13–60.1113%7 Mar
ancient7–13-0.009%6 Mar
ancient13–3-0.0813%6 Mar
inferno10–130.017%6 Mar
ancient9–13-0.089%6 Mar
dust21–13-0.1116%6 Mar
inferno13–70.076%5 Mar
ancient15–150.0112%23 Feb

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 →