Luna_da_Fox

Luna_da_Fox — CS2 Stats

MA76561198077252707[U:1:116986979]Steam profile ↗✓ No bans

464Tracked matches59%Win rate2025Tracked since
579Hours in CS3Hrs last 2 wks
CSDB Rating6.3 SolidAll-Rounder
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 3,679 +934 31 May – 30 Jun · 6 days played
2,7453,679peak 3,67931 May30 Jun
3,679Peak Premier in tracked matches
32Days played since 2026-05-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim64
Positioning62
Utility56

0–100 skill scores via Leetify.

Recent form

HOT59–36–5Last 10059%Win rateWWWWWLWLWL

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · +2.1pp headshot accuracy · +14ms reaction

Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 684ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 12%
  • Avg reaction 647ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 11%
  • Avg reaction 640ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.4
Utility5.6
Positioning6.2
Opening Duels4.4

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.

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 83% playstyle similarity

Most alike: utility contribution, 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. 638ms 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

Aim6.4
Positioning6.2
Utility5.6
Mechanics7.2
Opening Duels4.4
Win Impact7.9

Composite 6.3/10 (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 0.04 → last ⅓ avg 0.03
Reaction time640ms+2ms
first ⅓ avg 638ms → last ⅓ avg 640ms
Headshot accuracy11.1%−0.1%
first ⅓ avg 11.2% → last ⅓ avg 11.1%

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

0.24Best match rating · 13–4 · office, 2 Jun →
39%Best headshot accuracy · 2–13 · office, 9 Jun →
438msFastest reaction time · 6–13 · office, 6 Oct →
13–0Biggest win · ancient, 20 Jun →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W5Current streak
4–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 75% over 8mirageWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
officeA3119–1261%0.04
nukeA1811–761%0.03
mirageB115–645%0.04
ancientS96–367%0.03
infernoS86–275%0.05
cacheA53–260%0.01
train—41–325%0.05
vertigo—33–0100%0.06
dust2—32–167%0.02
anubis—31–233%0.03
boulder—10–10%-0.06
shelter—11–0100%0.10
fachwerk—11–0100%0.10
warden—10–10%-0.05
stronghold—10–10%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (45% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,743Lifetime kills
1.08K/D · Top 50% of tracked players
628Matches
45.9%Match win rate · Top 50% of tracked players
38.0%Headshot %
1.4%Shot accuracy
1,303MVPs
249Hours (in match)
404Bombs planted
118Bombs defused

Most-used weapons

Lifetime map wins

1,312office
895nuke
592inferno
420dust2
261vertigo
251train
42lake
32bank

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.3%Headshot accuracy
38.0%Accuracy (enemy spotted)
41.9%Spray accuracy
82.4%Counter-strafing
11.0°Preaim
638msReaction time
42.2%T opening success
53.0%CT opening success
0.54Enemies flashed / flash
9.0%Flash assists
11.89HE damage / grenade
4.92Flashes / 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 11.2586% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–10-0.0413%29 Oct →
nuke10–00.018%29 Oct →
nuke13–8-0.0513%29 Oct →
mirage13–80.0312%29 Oct →
ancient13–40.1413%21 Oct →
office10–130.058%18 Oct →
vertigo13–110.0619%10 Oct →
nuke5–130.019%10 Oct →
office13–40.1612%10 Oct →
office9–130.0712%10 Oct →
mirage10–130.0315%6 Oct →
mirage11–130.1111%6 Oct →
nuke13–10-0.0310%6 Oct →
office6–130.0211%6 Oct →
office13–10-0.0111%6 Oct →
office4–130.067%14 Aug →
office5–130.0613%14 Aug →
ancient8–13-0.060%12 Jul →
mirage9–13-0.029%12 Jul →
dust215–150.0711%10 Jul →
cache13–60.015%10 Jul →
office13–7-0.0219%10 Jul →
boulder9–13-0.067%9 Jul →
shelter13–60.1010%9 Jul →
fachwerk13–70.1016%9 Jul →
inferno13–50.0812%30 Jun →
dust213–9-0.0122%30 Jun →
office13–9-0.043%26 Jun →
office10–130.1811%25 Jun →
vertigo13–70.089%24 Jun →
inferno6–130.0712%24 Jun →
office13–9-0.0012%24 Jun →
inferno1–80.0212%22 Jun →
mirage1–8-0.0220%22 Jun →
ancient13–20.0111%22 Jun →
mirage13–70.1010%22 Jun →
nuke6–130.1312%22 Jun →
inferno13–40.1324%22 Jun →
nuke3–13-0.0411%22 Jun →
vertigo13–70.0316%21 Jun →
office13–90.1114%21 Jun →
ancient12–12-0.0117%20 Jun →
ancient13–00.0310%20 Jun →
train12–120.0718%20 Jun →
inferno13–30.016%19 Jun →
train12–120.1318%19 Jun →
mirage13–60.0410%19 Jun →
office13–70.059%18 Jun →
office13–7-0.0313%17 Jun →
cache4–130.0613%14 Jun →
cache13–110.027%14 Jun →
nuke11–13-0.0216%13 Jun →
nuke13–20.0415%13 Jun →
office13–10-0.0712%13 Jun →
nuke13–2-0.0011%12 Jun →
train13–50.0730%12 Jun →
inferno13–70.0213%12 Jun →
office13–90.0321%12 Jun →
nuke13–90.0213%10 Jun →
cache13–20.0623%10 Jun →
office13–110.0116%10 Jun →
nuke3–110.058%9 Jun →
office2–130.0239%9 Jun →
mirage12–12-0.0011%8 Jun →
inferno13–20.125%8 Jun →
train8–13-0.0710%8 Jun →
anubis3–13-0.029%8 Jun →
office7–13-0.028%8 Jun →
cache3–9-0.084%6 Jun →
office4–13-0.058%6 Jun →
mirage10–130.0413%6 Jun →
ancient10–13-0.0610%6 Jun →
nuke13–9-0.0115%6 Jun →
office13–9-0.0311%6 Jun →
ancient13–80.1223%3 Jun →
office6–30.1410%3 Jun →
mirage13–90.019%3 Jun →
ancient13–70.1010%3 Jun →
office13–70.2318%3 Jun →
nuke9–130.158%3 Jun →
anubis11–130.0712%2 Jun →
office11–130.0723%2 Jun →
warden4–13-0.0514%2 Jun →
stronghold10–13-0.0111%2 Jun →
dust213–30.009%2 Jun →
office13–40.2415%2 Jun →
office10–10.0815%2 Jun →
nuke13–9-0.003%2 Jun →
office13–10.017%2 Jun →
nuke13–70.1711%1 Jun →
office11–130.019%1 Jun →
ancient13–110.035%1 Jun →
anubis13–90.057%31 May →
office13–6-0.0410%31 May →
mirage13–10.1416%30 May →
nuke13–100.039%30 May →
nuke13–20.1117%30 May →
office13–90.069%30 May →
office4–13-0.0412%29 May →
nuke11–13-0.005%29 May →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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