lillypads — CS2 Stats

76561198078666565[U:1:118400837]

1,125Tracked matches43%Win rate2020Tracked since
3,415Hours in CS20Hrs last 2 wks
CSDB Rating5.6 SolidAggressive Rifler
Premier CS Rating21,108Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)
CSDB Leaderboard#9355 of 26401 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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 playerPink band medianRed band medianvs Red band
Headshot rate36.0%47.2%49.9%14.0% short
Shot accuracy15.4%12.7%13.4%above
Kill/death ratio1.001.091.120.12 short
Match win rate44.0%46.6%48.4%4.4% short

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

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

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CSDB.GGlillypadsPREMIER21,108 · Pink bandcsdb.gg/stats

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Performance scores

Aim74
Positioning51
Utility43

0–100 skill scores via Leetify.

Recent form

COLD49474Last 10049%Win rateLWLLLWLLLW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.4
Aggression7.0
Utility4.3
Positioning5.1
Opening Duels2.9
Clutch4.6

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

ropz

Plays most like ropz 88% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 585ms 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

Aim7.4
Positioning5.1
Utility4.3
Mechanics7.1
Opening Duels2.9
Win Impact2.8

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time589ms−53ms
first ⅓ avg 642ms → last ⅓ avg 589ms
Headshot accuracy16.6%−4.9%
first ⅓ avg 21.5% → last ⅓ avg 16.6%

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

0.15Best rating — ancient 13–3
131Biggest win — mirage
6Longest win streak
97In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 83% over 6anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
cacheB31151648%0.01
mirageB22111150%0.00
ancientC156940%0.02
dust2B126650%-0.01
anubisD62433%-0.03
infernoS65183%0.02
train32167%0.04
nuke32167%0.00
vertigo1010%-0.07
overpass1010%0.00

Across the last 100 tracked matches.

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

Lifetime stats

74,743Lifetime kills
1.00K/D
3,730Matches
44.0%Match win rate
36.0%Headshot %
15.4%Shot accuracy · Top 50% of Pink band
8,855MVPs
1,694Hours (in match)
2,996Bombs planted
898Bombs defused

Most-used weapons

AK-4724,665
AWP10,290
P2502,363
MAC-101,544
MP91,464
SG 5531,380

Lifetime map wins

6,273inferno
4,376dust2
1,563train
1,364nuke
691vertigo
375cbble
166office
57lake

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

Faceit stats

Combat

509Matches
52%Win rate
0.99Avg K/D
84.6ADR
34%Headshot %

Clutches & streaks

43%1v1 clutch win
28%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1560%1.0817.1
Cache967%1.2617.1
Dust2520%0.9617.0
Ancient450%1.4012.5
Anubis40%0.8416.5
Nuke450%0.9813.5
Overpass3100%2.2213.3
Inferno333%1.1012.3

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.

16.9%Headshot accuracy
37.6%Accuracy (enemy spotted)
36.3%Spray accuracy
81.8%Counter-strafing
9.7°Preaim
585msReaction time
39.2%T opening success
43.8%CT opening success
0.48Enemies flashed / flash
3.7%Flash assists
8.28HE damage / grenade
11.66Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4837 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 39.1585% — below the 40% mark we flag

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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0613%24 Aug
anubis13–100.0124%24 Aug
cache2–13-0.0511%24 Aug
mirage11–13-0.0130%24 Aug
inferno1–11-0.079%23 Aug
cache13–40.0517%23 Aug
mirage8–130.049%23 Aug
ancient9–13-0.0321%20 Aug
train8–13-0.0034%20 Aug
mirage13–110.1017%20 Aug
cache13–110.0520%20 Aug
inferno13–100.0416%20 Aug
dust27–13-0.0415%20 Aug
mirage13–40.0125%19 Aug
inferno13–60.0016%19 Aug
dust27–13-0.0113%19 Aug
dust25–13-0.1225%18 Aug
train13–110.1018%18 Aug
cache13–160.0116%16 Aug
anubis13–16-0.0315%16 Aug
nuke3–130.0929%14 Aug
train13–80.0317%13 Aug
vertigo3–13-0.077%13 Aug
mirage13–9-0.047%13 Aug
cache13–9-0.0614%13 Aug
dust29–13-0.049%13 Aug
nuke7–6-0.1111%13 Aug
ancient5–13-0.0216%12 Aug
anubis5–13-0.0317%12 Aug
cache13–90.0611%12 Aug
inferno13–100.0023%9 Aug
cache5–13-0.025%9 Aug
cache8–130.0218%7 Aug
mirage16–13-0.0618%7 Aug
ancient12–12-0.0120%7 Aug
cache13–90.0219%7 Aug
ancient13–80.0320%7 Aug
cache6–13-0.0621%6 Aug
inferno5–00.0844%6 Aug
cache12–120.0713%6 Aug
ancient13–80.1029%6 Aug
dust210–13-0.0313%6 Aug
cache13–100.059%2 Aug
cache5–13-0.029%2 Aug
ancient6–10.1230%2 Aug
cache13–80.0519%2 Aug
mirage13–11-0.048%2 Aug
ancient16–14-0.0319%2 Aug
nuke13–50.0410%2 Aug
inferno13–80.0716%2 Aug
mirage2–13-0.0625%2 Aug
cache14–16-0.0321%31 Jul
dust213–100.0419%31 Jul
cache13–30.0732%31 Jul
mirage16–130.0016%31 Jul
mirage5–13-0.0511%28 Jul
ancient6–13-0.0311%28 Jul
dust216–130.0029%28 Jul
anubis11–13-0.0320%28 Jul
cache7–13-0.0919%28 Jul
cache2–130.0332%28 Jul
ancient9–13-0.0017%28 Jul
ancient3–13-0.0011%28 Jul
mirage6–13-0.0632%27 Jul
anubis1–13-0.1140%27 Jul
cache16–130.0019%27 Jul
ancient13–90.0625%25 Jul
cache8–130.0321%25 Jul
cache11–13-0.0124%24 Jul
cache13–90.0922%24 Jul
anubis13–80.0323%24 Jul
ancient9–13-0.0322%24 Jul
cache13–10-0.0017%23 Jul
cache13–60.0623%23 Jul
dust213–8-0.0425%23 Jul
mirage7–130.0418%23 Jul
mirage11–130.048%23 Jul
dust213–110.0628%21 Jul
cache4–13-0.019%21 Jul
cache6–130.0512%21 Jul
mirage2–13-0.06100%21 Jul
cache13–110.0520%21 Jul
ancient11–130.0025%21 Jul
dust211–13-0.0228%21 Jul
mirage13–90.1119%21 Jul
overpass12–120.0017%21 Jul
cache7–130.0113%21 Jul
mirage6–13-0.0330%20 Jul
mirage13–70.0116%20 Jul
mirage13–10.0022%20 Jul
mirage13–70.0614%18 Jul
ancient12–120.0218%18 Jul
ancient13–30.1520%18 Jul
mirage13–30.0721%18 Jul
cache13–1-0.0114%18 Jul
cache8–13-0.0012%17 Jul
dust213–3-0.0412%17 Jul
cache13–110.0416%17 Jul
mirage8–130.0620%17 Jul
dust213–100.0821%17 Jul

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 →