Lunaric

Lunaric — CS2 Stats

DE76561198244689402[U:1:284423674]Steam profile ↗✓ No bans

1,256Tracked matches45%Win rate2020Tracked since
3,754Hours in CS3Hrs last 2 wks
CSDB Rating7.2 StrongPositional Player
Premier CS Rating22,733Top 25% of 212,695 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#46642 of 259546 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Aug 2026 (90 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,733 -1,943 18 Feb – 4 Aug · 4 days played
22,73325,000peak 25,00018 Feb4 Aug
25,111Peak Premier in tracked matches
45Days played since 2026-02-14

Premier CS Rating

  • 2,267 below peak (25,000)
  • Next: Red band at 25,000 — 2,267 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 playerLevel 10 median
Headshot rate75.0%50.9%
Shot accuracy14.1%13.7%
Kill/death ratio3.061.09
Match win rate53.2%48.4%

Share this profile

CSDB.GGLunaricFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER22,733 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim97
Positioning66
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLWLWLWWLLL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +3.9pp headshot accuracy · −33ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 28%
  • Avg reaction 558ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 34%
  • Avg reaction 507ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 32%
  • Avg reaction 524ms

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: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim9.7
Utility4.0
Positioning6.6
Opening Duels6.4
Clutch5.0

Sharp aimerExcellent counter-strafing

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

donk

Plays most like donk 83% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: 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

Strengths

Aim. Aim score of 97 — the mechanical foundation is a clear strength.

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

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

Aim9.7
Positioning6.6
Utility4.0
Mechanics8.6
Opening Duels6.5
Win Impact3.3

Composite 7.2/10 (Strong), 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 rating0.06−0.00
first ⅓ avg 0.06 → last ⅓ avg 0.06
Reaction time527ms+19ms
first ⅓ avg 508ms → last ⅓ avg 527ms
Headshot accuracy32.0%+1.5%
first ⅓ avg 30.5% → last ⅓ avg 32.0%

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

0.21Best match rating · 10–13 · dust2, 14 Jul →
66%Best headshot accuracy · 12–12 · shelter, 9 Jul →
375msFastest reaction time · 6–13 · ancient, 14 Jul →
13–1Biggest win · vertigo, 1 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
3–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 71% over 7infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC166–1038%0.06
ancientA169–756%0.06
dust2B157–847%0.06
cacheA116–555%0.06
infernoD93–633%0.04
nukeS75–271%0.06
anubisD62–433%0.08
overpassD62–433%0.07
vertigo—42–250%0.06
train—30–30%0.01
shelter—31–233%0.19
fachwerk—22–0100%0.09
stronghold—11–0100%0.16
italy—11–0100%0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

196,227Lifetime kills
3.06K/D · Top 1% of Level 10 players
3,418Matches
53.2%Match win rate · Top 25% of Level 10 players
75.0%Headshot % · Top 1% of Level 10 players
14.1%Shot accuracy · Top 50% of Level 10 players
14,250MVPs
1,806Hours (in match)
3,409Bombs planted
1,431Bombs defused

Most-used weapons

AK-47113,205
AWP10,437
SSG 082,123
SG 5531,932
Knife1,651

Lifetime map wins

6,660inferno
4,084dust2
3,592nuke
1,419vertigo
692train
344cbble
288office
77lake

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

Faceit stats

Combat

804Matches
55%Win rate
1.65Avg K/D
95.3ADR
58%Headshot %

Clutches & streaks

45%1v1 clutch win
34%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient6865%1.6320.4
Anubis4262%1.7720.8
Nuke3732%1.4821.1
Mirage3474%2.0021.5
Inferno2638%1.3618.4
Dust22475%1.5221.2
Overpass1872%1.7719.4
Vertigo540%1.4722.8

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.

32.0%Headshot accuracy
40.8%Accuracy (enemy spotted)
44.2%Spray accuracy
88.8%Counter-strafing
8.2°Preaim
526msReaction time
49.6%T opening success
62.7%CT opening success
0.36Enemies flashed / flash
9.3%Flash assists
8.63HE damage / grenade
7.11Flashes / 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 0.3573 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0235%30 Oct →
dust213–90.1519%30 Oct →
mirage2–70.0731%30 Oct →
dust213–10-0.0325%20 Oct →
mirage10–130.0129%20 Oct →
ancient13–100.0243%3 Oct →
cache11–50.0434%3 Oct →
cache3–13-0.0425%23 Sept →
dust210–130.0951%23 Sept →
inferno1–13-0.0447%16 Aug →
mirage8–130.0722%12 Aug →
cache10–13-0.0132%6 Aug →
ancient13–60.0633%4 Aug →
anubis5–130.1030%4 Aug →
ancient13–100.0623%4 Aug →
anubis11–130.1638%2 Aug →
mirage9–130.0526%2 Aug →
mirage13–40.0243%2 Aug →
dust211–130.0028%31 Jul →
dust24–130.1028%28 Jul →
mirage12–120.0818%28 Jul →
anubis2–130.0339%26 Jul →
inferno8–13-0.0348%25 Jul →
anubis13–40.0737%22 Jul →
cache13–70.1348%22 Jul →
ancient13–60.1931%21 Jul →
cache13–160.1030%21 Jul →
anubis13–90.1123%20 Jul →
ancient13–60.1732%20 Jul →
mirage13–100.0526%19 Jul →
nuke16–130.0621%19 Jul →
ancient13–110.1229%19 Jul →
cache13–70.0635%18 Jul →
nuke13–20.1048%18 Jul →
inferno11–130.0838%18 Jul →
cache13–70.1932%17 Jul →
mirage5–130.0053%17 Jul →
nuke4–130.0650%16 Jul →
inferno13–70.1045%16 Jul →
train6–130.0044%16 Jul →
dust211–130.0437%15 Jul →
mirage12–120.1036%15 Jul →
fachwerk13–70.0838%15 Jul →
shelter13–20.2155%15 Jul →
mirage13–30.1929%14 Jul →
ancient6–13-0.0439%14 Jul →
dust210–130.2123%14 Jul →
dust213–50.1042%10 Jul →
cache7–130.0329%10 Jul →
cache13–60.1035%9 Jul →
shelter11–130.2142%9 Jul →
fachwerk13–60.1047%9 Jul →
shelter12–120.1566%9 Jul →
dust213–80.0434%4 Jul →
dust213–50.0626%4 Jul →
nuke13–90.0430%2 Jul →
cache13–100.0138%2 Jul →
train3–13-0.0622%20 Jun →
cache12–120.0119%29 Apr →
ancient10–13-0.0227%5 Apr →
ancient6–130.0836%31 Mar →
overpass13–70.1825%31 Mar →
ancient5–13-0.0724%29 Mar →
overpass12–120.1320%25 Mar →
mirage10–130.0419%17 Mar →
ancient13–100.0625%17 Mar →
overpass8–130.0029%16 Mar →
overpass10–130.0223%16 Mar →
dust23–13-0.038%12 Mar →
mirage7–130.0738%12 Mar →
inferno8–130.0624%7 Mar →
nuke6–130.0235%7 Mar →
train4–130.0923%7 Mar →
ancient9–130.0621%7 Mar →
overpass9–130.0422%7 Mar →
vertigo10–130.0126%2 Mar →
mirage13–80.1428%1 Mar →
stronghold13–50.1639%1 Mar →
ancient4–130.0628%1 Mar →
nuke13–90.0927%1 Mar →
italy13–40.1316%1 Mar →
vertigo13–10.1037%1 Mar →
anubis5–130.0332%28 Feb →
inferno13–50.1633%28 Feb →
ancient9–130.0616%19 Feb →
nuke13–80.0453%19 Feb →
mirage13–70.0629%19 Feb →
ancient13–100.0144%18 Feb →
inferno16–130.0840%17 Feb →
mirage9–13-0.0237%17 Feb →
mirage13–40.0340%17 Feb →
dust213–60.1231%17 Feb →
ancient13–50.1131%17 Feb →
overpass13–110.0431%17 Feb →
dust215–150.0736%16 Feb →
vertigo8–130.0235%15 Feb →
vertigo13–10.1250%15 Feb →
inferno7–130.0029%15 Feb →
dust28–130.0218%15 Feb →
dust216–14-0.0129%14 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.