Lunar — CS2 Stats

76561198454423294[U:1:494157566]

684Tracked matches52%Win rate2024Tracked since
CSDB Rating5.0 DevelopingPassive Rifler
WingmanGold Nova I
Ladder ranks via Leetify

Performance scores

Aim66
Positioning46
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY44497Last 10044%Win rateWLWLLLWLWW

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

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.6
Aggression2.9
Utility1.8
Positioning4.6
Opening Duels0.0

Strong CT-side openerLimited 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 75% playstyle similarity

Most alike: positioning profile, 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.

T-side openings. Opening success drops from 38% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 673ms 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

Aim6.6
Positioning4.6
Utility1.8
Mechanics8.0
Opening Duels1.0
Win Impact5.6

Composite 5.0/10 (Developing), 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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time717ms−23ms
first ⅓ avg 739ms → last ⅓ avg 717ms
Headshot accuracy13.7%+1.7%
first ⅓ avg 12.0% → last ⅓ avg 13.7%

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

0.21Best rating — nuke 9–4
130Biggest win — nuke
5Longest win streak
53In matches decided by ≤2 rounds

Map breakdown

shelterBest map · 80% over 5cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
nukeA35201557%0.01
infernoC145936%-0.03
ancientA85363%0.02
mirageD72529%-0.02
dust2C73443%-0.03
officeD71614%-0.02
anubisB63350%-0.03
shelterS54180%-0.05
cacheD5050%-0.06
vertigo3030%-0.01
train21150%-0.02
debris1010%-0.06

Across the last 100 tracked matches.

Faceit stats

Combat

3Matches
0%Win rate
0.52Avg K/D
ADR
73%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust220%0.6811.0
Vertigo10%0.203.0

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.

11.6%Headshot accuracy
38.4%Accuracy (enemy spotted)
48.3%Spray accuracy
85.9%Counter-strafing
11.9°Preaim
673msReaction time
19.3%T opening success
38.1%CT opening success
0.30Enemies flashed / flash
4.6%Flash assists
7.32HE damage / grenade
2.62Flashes / 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. 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 11.6022% — below the 15% mark we flag

    Aim Training
  2. 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 0.3003 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 19.3158% — below the 40% mark we flag

Spend your practice time on Cache

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
shelter13–6-0.0414%26 Aug
mirage2–13-0.0612%26 Aug
nuke13–10-0.040%22 Aug
nuke5–9-0.0420%18 Aug
nuke4–9-0.096%18 Aug
inferno2–9-0.1117%18 Aug
nuke13–11-0.0018%16 Aug
shelter1–13-0.0418%16 Aug
shelter13–7-0.070%16 Aug
nuke9–70.1915%16 Aug
nuke4–90.017%16 Aug
nuke0–9-0.1813%15 Aug
nuke11–13-0.044%15 Aug
nuke7–13-0.020%14 Aug
dust213–100.0218%14 Aug
dust213–90.0611%14 Aug
nuke13–5-0.0414%13 Aug
nuke5–13-0.0213%13 Aug
anubis13–8-0.028%12 Aug
train7–130.0224%12 Aug
shelter7–2-0.078%11 Aug
shelter13–6-0.0117%11 Aug
dust27–13-0.029%3 Aug
nuke13–80.0914%3 Aug
dust25–13-0.1021%3 Aug
vertigo8–13-0.0112%31 Jul
nuke13–70.0913%31 Jul
nuke6–90.1018%31 Jul
inferno6–9-0.0733%31 Jul
nuke8–80.0119%31 Jul
debris6–9-0.0620%31 Jul
nuke5–13-0.0514%28 Jul
mirage2–7-0.0722%28 Jul
anubis7–13-0.0511%27 Jul
nuke13–90.036%27 Jul
office11–13-0.0625%27 Jul
cache12–12-0.029%27 Jul
ancient10–130.058%27 Jul
nuke13–30.0511%25 Jul
nuke13–70.093%22 Jul
dust213–10-0.059%21 Jul
ancient7–20.1210%21 Jul
ancient13–6-0.013%21 Jul
cache7–13-0.0710%17 Jul
mirage7–13-0.059%17 Jul
inferno2–9-0.0717%13 Jul
inferno6–9-0.035%13 Jul
inferno9–7-0.049%13 Jul
nuke4–9-0.0519%13 Jul
nuke7–13-0.0518%10 Jul
inferno8–80.0424%10 Jul
nuke9–60.0716%29 Jun
nuke9–40.2124%29 Jun
office10–13-0.0713%29 Jun
nuke11–13-0.026%29 Jun
nuke9–30.049%28 Jun
office13–3-0.036%28 Jun
mirage12–120.0011%28 Jun
office10–13-0.010%27 Jun
ancient7–130.0211%27 Jun
office12–12-0.066%25 Jun
office4–13-0.0313%25 Jun
dust21–13-0.138%25 Jun
cache0–13-0.088%23 Jun
vertigo8–13-0.034%23 Jun
anubis7–13-0.079%22 Jun
anubis13–60.039%22 Jun
nuke13–9-0.0015%22 Jun
mirage13–11-0.0114%22 Jun
anubis6–13-0.108%22 Jun
ancient13–7-0.0522%19 Jun
dust28–13-0.0228%19 Jun
ancient13–80.0714%15 Jun
nuke13–60.056%15 Jun
anubis13–70.0611%15 Jun
mirage2–13-0.0313%15 Jun
nuke1–13-0.0619%4 Jun
vertigo5–13-0.0011%22 May
office7–130.109%22 May
cache12–12-0.0612%22 May
nuke13–60.0415%17 May
nuke12–12-0.0610%17 May
inferno9–6-0.047%5 May
inferno9–70.032%5 May
inferno9–50.028%5 May
nuke13–70.0511%3 May
nuke13–00.0014%3 May
inferno2–9-0.130%2 May
cache1–13-0.0820%2 May
train13–8-0.077%27 Apr
nuke13–2-0.037%13 Apr
nuke8–00.029%13 Apr
inferno5–90.0819%13 Apr
inferno6–9-0.1015%13 Apr
nuke13–6-0.037%4 Apr
ancient4–130.018%4 Apr
inferno13–50.0526%1 Apr
ancient13–8-0.039%31 Mar
inferno6–13-0.0715%31 Mar
mirage13–10.066%31 Mar

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 →