lukeg

lukeg — CS2 Stats

ZA76561197993395274[U:1:33129546]Steam profile ↗✓ No bans

2,941Tracked matches57%Win rate2020Tracked since
3,664Hours in CS
CSDB Rating5.2 DevelopingPositional Player
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,941 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 46 days played since 8 Jul 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 19,986 +1,839 10 Jul19 Oct · 22 days played
18,14722,724peak 22,72410 Jul19 Oct
22,934Peak Premier in tracked matches
46Days played since 2025-07-08

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=11,912), 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 7 medianLevel 8 medianvs Level 8
Headshot rate45.2%45.8%46.8%1.5% short
Shot accuracy18.4%12.7%13.0%above
Kill/death ratio1.141.051.06above
Match win rate53.7%45.7%46.3%above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGlukegFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.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

Aim57
Positioning48
Utility39

0–100 skill scores via Leetify.

Recent form

COLD57394Last 10057%Win rateLLWLWLWLLL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −6.4pp headshot accuracy · −148ms reaction

Win rate down 40pp 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

  • 23 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 399ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 524ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 598ms

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 PlayerPositioning stands above the rest of this profile (+1.8 against its own average).

Aim5.7
Utility3.9
Positioning4.8
Opening Duels3.2
Clutch0.0

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

iM

Plays most like iM 92% 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. 641ms 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

Aim5.7
Positioning4.8
Utility3.9
Mechanics6.5
Opening Duels2.5
Win Impact7.2

Composite 5.2/10 (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-0.01−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time622ms−44ms
first ⅓ avg 666ms → last ⅓ avg 622ms
Headshot accuracy19.8%−1.8%
first ⅓ avg 21.6% → last ⅓ avg 19.8%

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

0.10Best match rating · 13–5 · overpass, 14 Sept
42%Best headshot accuracy · 4–13 · mirage, 19 Jul
438msFastest reaction time · 13–5 · mirage, 24 Jul
13–0Biggest win · cache, 12 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
56In matches decided by ≤2 rounds
15Overtime games

Map breakdown

dust2Best map · 67% over 24infernoWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB32161650%-0.01
dust2S2416867%-0.01
overpassS1510567%0.02
infernoC94544%-0.02
nukeA85363%-0.00
ancient4040%-0.02
cache32167%-0.00
train32167%0.01
anubis220100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

167,510Lifetime kills
1.14K/D · Top 50% of Level 7 players
6,543Matches
53.7%Match win rate · Top 10% of Level 7 players
45.2%Headshot %
18.4%Shot accuracy · Top 10% of Level 7 players
22,211MVPs
3,664Hours (in match)
4,986Bombs planted
1,863Bombs defused

Most-used weapons

AK-4757,983
AWP21,782
P2504,865
FAMAS3,795
Knife1,752

Lifetime map wins

15,008inferno
12,638dust2
6,679nuke
4,301train
3,578vertigo
1,302cbble
286office
182aztec

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

Faceit stats

Combat

550Matches
52%Win rate
1.15Avg K/D
75.6ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
67%1v2 clutch win
16Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage633%0.9313.0
Nuke10%1.2525.0
Inferno10%0.8814.0
Dust210%0.436.0

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.

20.5%Headshot accuracy
29.2%Accuracy (enemy spotted)
29.8%Spray accuracy
79.5%Counter-strafing
8.9°Preaim
641msReaction time
33.1%T opening success
47.1%CT opening success
0.54Enemies flashed / flash
6.3%Flash assists
8.29HE damage / grenade
7.62Flashes / 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. 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 33.1108% — below the 40% mark we flag

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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage2–50.000%24 Jul
dust20–13-0.0425%24 Jul
mirage13–50.0219%24 Jul
mirage12–16-0.0316%18 Jul
mirage13–3-0.0125%18 Jul
mirage3–13-0.100%14 Jul
nuke13–9-0.0110%14 Jul
inferno3–13-0.0417%14 Jul
mirage12–160.0324%12 Jul
cache2–13-0.0513%12 Jul
inferno13–80.0419%12 Jul
mirage10–13-0.0322%12 Jul
nuke16–13-0.0017%12 Jul
cache13–00.0434%12 Jul
dust213–8-0.0217%10 Jul
cache13–60.0125%10 Jul
dust213–7-0.0514%10 Jul
mirage14–16-0.0522%10 Jul
ancient10–13-0.0322%1 May
dust213–40.0120%1 May
inferno16–12-0.0326%30 Apr
dust213–10-0.0123%10 Apr
dust213–20.0231%10 Apr
mirage2–13-0.0619%9 Apr
mirage13–2-0.0031%6 Apr
dust27–13-0.0626%13 Feb
mirage13–10-0.0624%13 Feb
overpass13–70.0328%29 Jan
mirage13–40.0312%29 Jan
ancient4–13-0.0217%29 Jan
overpass13–2-0.0120%24 Jan
inferno5–130.0110%4 Jan
mirage9–13-0.0227%4 Jan
mirage13–70.0318%19 Oct
overpass13–50.0428%19 Oct
inferno12–16-0.0219%24 Sept
nuke8–13-0.0124%24 Sept
overpass8–13-0.0017%23 Sept
mirage6–13-0.0316%23 Sept
mirage13–9-0.0030%22 Sept
dust213–50.0337%22 Sept
mirage11–13-0.0519%21 Sept
overpass13–90.0436%21 Sept
overpass11–13-0.0822%21 Sept
dust213–7-0.0315%21 Sept
nuke4–13-0.0520%21 Sept
dust213–9-0.0136%20 Sept
overpass13–7-0.0432%17 Sept
inferno13–9-0.1017%16 Sept
dust216–14-0.0324%16 Sept
mirage10–13-0.0612%15 Sept
overpass13–90.0222%15 Sept
nuke13–7-0.0715%14 Sept
overpass13–50.1020%14 Sept
train13–11-0.0117%14 Sept
dust213–11-0.0232%6 Sept
mirage13–9-0.0121%6 Sept
dust26–130.0221%6 Sept
dust213–60.0431%6 Sept
dust213–10-0.0522%6 Sept
inferno11–13-0.0119%5 Sept
dust213–9-0.0418%5 Sept
dust210–130.0126%24 Aug
inferno12–16-0.0625%22 Aug
dust213–110.0027%19 Aug
mirage13–60.0418%19 Aug
dust215–150.0119%15 Aug
ancient4–13-0.0614%15 Aug
overpass13–90.0019%13 Aug
dust27–13-0.0035%3 Aug
ancient7–130.0125%3 Aug
mirage13–7-0.0214%3 Aug
nuke13–50.0829%31 Jul
dust210–13-0.0223%28 Jul
mirage13–30.0119%28 Jul
dust28–130.0135%28 Jul
overpass15–150.0418%26 Jul
overpass11–130.0129%21 Jul
mirage13–9-0.0222%21 Jul
mirage16–140.0125%19 Jul
mirage4–130.0042%19 Jul
dust213–8-0.0014%19 Jul
mirage13–70.039%19 Jul
nuke7–13-0.0424%19 Jul
mirage10–130.0124%17 Jul
overpass13–20.1022%17 Jul
nuke13–80.0617%16 Jul
mirage13–50.0723%16 Jul
overpass15–15-0.0526%16 Jul
anubis13–70.0719%15 Jul
overpass13–10.0512%15 Jul
train13–80.0318%14 Jul
mirage7–20.058%14 Jul
mirage10–130.0220%12 Jul
mirage6–13-0.0233%11 Jul
anubis13–10-0.0111%11 Jul
inferno13–80.0222%10 Jul
dust216–13-0.0219%10 Jul
mirage14–16-0.0232%9 Jul
train15–150.0114%8 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 →