DeLuXo

DeLuXo — CS2 Stats

SI76561198072341080[U:1:112075352]Steam profile ↗✓ No bans

847Tracked matches67%Win rate2020Tracked since
1,095Hours in CS32Hrs last 2 wks
CSDB Rating7.3 StrongClutch Specialist
Premier CS Rating14,487Blue band · top ~31.1% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (3 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: 14,487 +363 17 Aug – 23 Oct · 21 days played
13,43116,497peak 16,49717 Aug23 Oct
17,158Peak Premier in tracked matches
30Days played since 2026-08-17

Premier CS Rating

  • 2,010 below peak (16,497)
  • -1,096 over 30 days · declining
  • Next: Purple band at 15,000 — 513 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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 rate51.4%42.0%44.4%above
Shot accuracy9.2%9.6%11.9%2.7% short
Kill/death ratio1.190.981.03above
Match win rate38.2%43.8%45.2%7.0% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDeLuXoPREMIER14,487 · Blue bandcsdb.gg/stats

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Performance scores

Aim82
Positioning74
Utility53

0–100 skill scores via Leetify.

Recent form

HOT55–41–4Last 10055%Win rateLWWWLWWWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −2.8pp headshot accuracy · −86ms 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 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 460ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 503ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 546ms

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 (+1.6 against its own average).

Aim8.2
Utility5.3
Positioning7.4
Opening Duels6.1
Clutch8.4

Reliable in 1v1s

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 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Strengths

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Aim8.2
Positioning7.4
Utility5.3
Mechanics7.5
Opening Duels8.6
Win Impact10.0

Composite 7.3/10 (Strong), 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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time527ms−21ms
first ⅓ avg 548ms → last ⅓ avg 527ms
Headshot accuracy23.4%+2.4%
first ⅓ avg 21.0% → last ⅓ avg 23.4%

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

0.17Best match rating · 13–7 · cache, 11 Sept →
53%Best headshot accuracy · 1–13 · dust2, 13 Oct →
352msFastest reaction time · 5–13 · mirage, 24 Aug →
13–0Biggest win · mirage, 23 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
8–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 80% over 10infernoWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB3115–1648%0.01
dust2B179–853%0.01
cacheA169–756%0.02
anubisS128–467%0.06
nukeS108–280%0.03
infernoC94–544%-0.01
ancient—41–325%-0.00
vertigo—11–0100%0.05

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

38,082Lifetime kills
1.19K/D · Top 25% of Blue band
1,744Matches
38.2%Match win rate
51.4%Headshot % · Top 25% of Blue band
9.2%Shot accuracy
3,030MVPs
654Hours (in match)
1,936Bombs planted
423Bombs defused

Most-used weapons

AK-4712,599
AWP4,039
Negev1,928
SG 5531,695
MP91,317
SSG 081,295

Lifetime map wins

2,720dust2
2,660inferno
750nuke
534vertigo
153train
42lake
24safehouse
20ar_shoots

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

Faceit stats

Combat

9Matches
44%Win rate
1.58Avg K/D
85.4ADR
54%Headshot %

Clutches & streaks

62%1v1 clutch win
8%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage425%0.8414.8
Ancient250%1.2615.5
Dust2250%3.4622.5
Anubis1100%1.4320.0

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.

23.0%Headshot accuracy
34.5%Accuracy (enemy spotted)
37.8%Spray accuracy
83.6%Counter-strafing
10.0°Preaim
530msReaction time
68.9%T opening success
59.5%CT opening success
0.49Enemies flashed / flash
5.4%Flash assists
9.39HE damage / grenade
9.19Flashes / 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 0.4856 — 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.

44% 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
mirage11–130.0218%25 Oct →
dust213–70.0419%25 Oct →
mirage13–50.1014%25 Oct →
mirage13–10-0.0424%25 Oct →
inferno6–130.008%25 Oct →
mirage13–80.0025%25 Oct →
nuke13–40.0539%24 Oct →
anubis13–110.0820%24 Oct →
cache13–50.0413%24 Oct →
mirage13–6-0.0418%24 Oct →
dust213–20.046%24 Oct →
mirage13–50.0822%24 Oct →
inferno16–12-0.0116%23 Oct →
dust213–4-0.0136%23 Oct →
anubis11–130.0127%23 Oct →
mirage13–6-0.0617%23 Oct →
mirage13–00.0938%23 Oct →
inferno13–8-0.0320%23 Oct →
mirage6–13-0.0328%23 Oct →
mirage7–13-0.0715%23 Oct →
mirage13–110.0117%23 Oct →
mirage6–13-0.0122%23 Oct →
cache13–11-0.0139%22 Oct →
anubis3–100.0221%22 Oct →
nuke13–4-0.0124%21 Oct →
mirage7–130.0225%21 Oct →
inferno5–13-0.0230%21 Oct →
mirage4–130.0538%21 Oct →
inferno13–20.1633%21 Oct →
anubis13–00.1727%21 Oct →
mirage13–60.0133%21 Oct →
mirage4–13-0.0213%20 Oct →
dust213–100.0627%13 Oct →
dust21–13-0.0253%13 Oct →
mirage3–80.0324%13 Oct →
mirage13–20.1223%12 Oct →
anubis13–40.1024%12 Oct →
dust213–70.1037%12 Oct →
dust26–13-0.0216%12 Oct →
mirage9–13-0.0618%12 Oct →
nuke13–5-0.0023%12 Oct →
inferno2–13-0.1540%12 Oct →
mirage9–130.0420%12 Oct →
nuke13–20.0433%7 Oct →
anubis7–130.019%7 Oct →
cache5–130.0113%7 Oct →
nuke13–80.0330%7 Oct →
anubis9–130.0618%7 Oct →
anubis13–11-0.0128%7 Oct →
inferno5–0-0.0443%7 Oct →
vertigo13–50.0519%7 Oct →
cache13–11-0.0122%7 Oct →
mirage13–80.0220%6 Oct →
cache10–13-0.0417%6 Oct →
dust213–70.0124%6 Oct →
nuke13–90.0517%6 Oct →
mirage13–70.0527%6 Oct →
anubis13–20.0613%5 Oct →
mirage13–8-0.0210%2 Oct →
mirage1–3-0.0120%2 Oct →
cache11–13-0.0121%29 Sept →
inferno12–12-0.045%29 Sept →
cache13–30.0319%28 Sept →
mirage13–10-0.0016%28 Sept →
dust211–130.0410%28 Sept →
cache13–10-0.0228%23 Sept →
dust213–11-0.0413%22 Sept →
cache15–150.0521%21 Sept →
cache11–130.0424%21 Sept →
anubis13–10-0.0321%20 Sept →
nuke10–130.0211%20 Sept →
mirage6–13-0.0219%20 Sept →
dust29–130.0018%17 Sept →
cache13–110.0315%17 Sept →
anubis9–10.0819%17 Sept →
nuke4–130.0214%17 Sept →
dust20–13-0.0015%17 Sept →
dust27–13-0.0124%17 Sept →
ancient15–150.0317%14 Sept →
ancient5–13-0.0814%14 Sept →
ancient6–130.0221%13 Sept →
dust213–10-0.0513%13 Sept →
cache13–70.1733%11 Sept →
cache3–13-0.0431%2 Sept →
dust25–130.0129%1 Sept →
mirage8–130.0438%31 Aug →
cache12–120.0822%27 Aug →
dust213–60.0043%27 Aug →
mirage10–130.0218%26 Aug →
ancient10–50.0326%26 Aug →
nuke13–110.0727%25 Aug →
cache13–7-0.0413%25 Aug →
mirage13–70.0321%24 Aug →
mirage5–13-0.0313%24 Aug →
anubis13–10.1617%24 Aug →
mirage1–13-0.0611%24 Aug →
inferno6–130.0119%24 Aug →
nuke16–130.0221%24 Aug →
dust211–130.0725%24 Aug →
cache13–5-0.0020%17 Aug →

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 →

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