Lukasor

Lukasor — CS2 Stats

PL76561198163192891[U:1:202927163]Steam profile ↗✓ No bans

1,241Tracked matches45%Win rate2020Tracked since
2,619Hours in CS
CSDB Rating4.4 DevelopingClutch Specialist
Premier CS Rating10,301Blue band · top ~53.3% of ranked players (population est.)
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (39 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

10,717Peak Premier in tracked matches
35Days played since 2026-07-22

Premier CS Rating

  • At peak — 10,301
  • Next: Purple band at 15,000 — 4,699 to go
  • Reached: Blue band · Light 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate60.9%42.0%44.4%above
Shot accuracy12.6%9.6%11.9%above
Kill/death ratio1.740.981.03above
Match win rate44.8%43.8%45.2%meets

Across every metric we can compare, this profile already matches the typical Purple band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGLukasorPREMIER10,301 · Blue bandcsdb.gg/stats

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Performance scores

Aim53
Positioning50
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateWLLWWLLWLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −4.3pp headshot accuracy · −7ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 564ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 574ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 578ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.9 against its own average).

Aim5.3
Utility2.9
Positioning5.0
Opening Duels2.4
Clutch6.0

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 86% playstyle similarity

Most alike: positioning profile, 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

Reaction time. 566ms 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

Aim5.3
Positioning5.0
Utility2.9
Mechanics5.9
Opening Duels3.4
Win Impact3.3

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time569ms−28ms
first ⅓ avg 597ms → last ⅓ avg 569ms
Headshot accuracy14.4%+1.4%
first ⅓ avg 13.0% → last ⅓ avg 14.4%

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

0.18Best match rating · 13–5 · nuke, 1 Aug →
36%Best headshot accuracy · 5–13 · mirage, 26 Sept →
422msFastest reaction time · 13–2 · inferno, 14 Oct →
13–1Biggest win · nuke, 15 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–7In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 83% over 6anubisWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC2510–1540%-0.01
infernoB2311–1248%-0.01
dust2B1910–953%0.00
cacheB105–550%-0.01
anubisD70–70%0.00
vertigoS65–183%-0.00
nukeA53–260%0.03
ancient—32–167%-0.01
italy—10–10%0.02
overpass—10–10%-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

207,630Lifetime kills
1.74K/D · Top 5% of Blue band
11,152Matches
44.8%Match win rate · Top 50% of Blue band
60.9%Headshot % · Top 5% of Blue band
12.6%Shot accuracy · Top 50% of Blue band
16,671MVPs
2,619Hours (in match)
3,164Bombs planted
1,663Bombs defused

Most-used weapons

AK-4735,032
AWP23,928
MAC-105,632
MP95,372
Tec-95,147

Lifetime map wins

16,835inferno
8,165dust2
7,657vertigo
2,041nuke
1,651train
557cbble
411office
406lake

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

Faceit stats

Combat

8Matches
25%Win rate
0.62Avg K/D
74.4ADR
32%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.9416.0
Anubis1100%0.7911.0
Inferno1100%0.7014.0

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.

14.1%Headshot accuracy
28.0%Accuracy (enemy spotted)
29.1%Spray accuracy
76.5%Counter-strafing
8.0°Preaim
566msReaction time
50.6%T opening success
36.6%CT opening success
0.32Enemies flashed / flash
0.9%Flash assists
10.33HE damage / grenade
2.33Flashes / 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 14.1329% — 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 0.3204 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.5908% — 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.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.0215%25 Oct →
vertigo5–13-0.068%20 Oct →
inferno5–130.0218%19 Oct →
inferno13–50.1019%15 Oct →
mirage13–11-0.0212%15 Oct →
inferno10–13-0.1214%14 Oct →
mirage4–13-0.0310%14 Oct →
inferno13–2-0.046%14 Oct →
dust211–130.0512%6 Oct →
cache8–130.0010%6 Oct →
inferno6–13-0.0620%6 Oct →
mirage12–12-0.057%6 Oct →
inferno13–90.0422%5 Oct →
dust213–10-0.0228%5 Oct →
dust213–7-0.0619%1 Oct →
inferno2–13-0.125%30 Sept →
mirage13–4-0.0315%27 Sept →
mirage5–13-0.0036%26 Sept →
mirage13–16-0.007%23 Sept →
cache13–9-0.0110%23 Sept →
mirage11–13-0.0512%23 Sept →
inferno13–9-0.0113%17 Sept →
mirage13–5-0.0519%17 Sept →
inferno6–13-0.0619%16 Sept →
italy1–130.027%13 Sept →
anubis8–130.0713%13 Sept →
vertigo8–20.0620%13 Sept →
inferno13–110.034%9 Sept →
mirage7–130.0423%9 Sept →
mirage7–13-0.044%8 Sept →
anubis9–13-0.0313%8 Sept →
inferno13–50.0614%8 Sept →
cache11–13-0.0422%8 Sept →
dust26–13-0.0625%8 Sept →
vertigo13–100.0217%8 Sept →
mirage13–70.0715%8 Sept →
inferno13–60.0815%7 Sept →
dust28–6-0.0814%2 Sept →
inferno12–12-0.0017%26 Aug →
vertigo13–50.0314%19 Aug →
dust213–110.0313%19 Aug →
dust27–4-0.0218%19 Aug →
anubis5–13-0.047%19 Aug →
mirage4–13-0.0223%19 Aug →
anubis11–13-0.0220%15 Aug →
dust213–30.1111%15 Aug →
cache13–7-0.0016%15 Aug →
nuke13–10.0221%15 Aug →
inferno13–11-0.0116%15 Aug →
mirage13–100.0111%15 Aug →
dust213–20.0913%15 Aug →
anubis7–100.0818%15 Aug →
mirage6–130.0211%15 Aug →
mirage7–13-0.0314%13 Aug →
dust212–120.0314%10 Aug →
mirage13–30.0418%10 Aug →
inferno7–13-0.0614%10 Aug →
inferno4–13-0.0111%9 Aug →
vertigo13–10-0.0514%9 Aug →
dust26–13-0.0718%6 Aug →
dust213–7-0.0118%5 Aug →
cache11–130.0115%4 Aug →
dust29–130.0120%4 Aug →
mirage10–13-0.0417%4 Aug →
nuke13–110.0127%3 Aug →
mirage13–11-0.0519%3 Aug →
mirage3–13-0.0515%2 Aug →
inferno6–13-0.0412%2 Aug →
cache13–100.0421%2 Aug →
inferno13–20.1113%1 Aug →
cache13–11-0.0410%1 Aug →
dust27–13-0.0713%1 Aug →
ancient12–120.0111%1 Aug →
anubis3–13-0.022%1 Aug →
nuke13–50.1812%1 Aug →
anubis6–13-0.0321%30 Jul →
mirage7–130.0129%30 Jul →
cache6–13-0.0211%30 Jul →
ancient13–6-0.055%30 Jul →
dust27–0-0.0113%30 Jul →
nuke4–13-0.0213%29 Jul →
inferno9–13-0.0913%29 Jul →
inferno13–60.0719%29 Jul →
cache6–13-0.037%29 Jul →
vertigo13–6-0.0117%29 Jul →
mirage13–10.0813%29 Jul →
dust213–40.1118%29 Jul →
mirage13–110.089%29 Jul →
inferno13–8-0.0120%29 Jul →
inferno2–13-0.059%29 Jul →
mirage7–13-0.048%29 Jul →
dust28–13-0.008%23 Jul →
inferno4–13-0.0118%23 Jul →
dust213–70.0416%23 Jul →
cache13–100.0114%23 Jul →
overpass10–13-0.0712%22 Jul →
nuke12–12-0.046%22 Jul →
mirage11–13-0.0313%22 Jul →
dust212–120.0114%22 Jul →
ancient13–10-0.019%22 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 →

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