cupra

cupra — CS2 Stats

EE76561199527339905[U:1:1567074177]Steam profile ↗✓ No bans

310Tracked matches47%Win rate2023Tracked since
835Hours in CS3Hrs last 2 wks
CSDB Rating5.2 DevelopingAll-Rounder
WingmanGold Nova Master
Ladder ranks via Leetify
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. 61 days played since 23 Oct 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 9,390 -1,696 28 Oct5 May · 26 days played
8,37111,086peak 11,08628 Oct5 May
11,199Peak Premier in tracked matches
61Days played since 2025-10-23

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

Performance scores

Aim58
Positioning54
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY47503Last 10047%Win rateWLLWWLLLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −5.0pp headshot accuracy · −38ms reaction

Win rate 0pp 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

  • 32 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 561ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 596ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 615ms

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-RounderNo style dimension stands clear of the others in this profile.

Aim5.8
Utility4.6
Positioning5.4
Opening Duels4.3

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

jL

Plays most like jL 82% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 631ms 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

Aim5.8
Positioning5.4
Utility4.6
Mechanics6.1
Opening Duels3.5
Win Impact3.9

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-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time633ms−13ms
first ⅓ avg 646ms → last ⅓ avg 633ms
Headshot accuracy18.4%−0.3%
first ⅓ avg 18.7% → last ⅓ avg 18.4%

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 · 13–6 · anubis, 12 Mar
60%Best headshot accuracy · 11–13 · mirage, 28 Jan
406msFastest reaction time · 9–6 · vertigo, 25 Jan
13–1Biggest win · nuke, 18 Nov

Across the last 100 tracked matches.

Highlights

4Longest win streak
59In matches decided by ≤2 rounds
4Overtime games

Map breakdown

vertigoBest map · 80% over 5ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC42152736%-0.03
nukeB137654%-0.02
infernoA127558%0.01
dust2A127558%-0.01
ancientD62433%-0.01
vertigoS54180%-0.04
anubis43175%0.05
overpass31233%-0.04
train21150%-0.01
cache1010%-0.05

Across the last 100 tracked matches.

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

Lifetime stats

25,000Lifetime kills
0.86K/D
1,580Matches
37.0%Match win rate
37.8%Headshot %
1.5%Shot accuracy
2,891MVPs
489Hours (in match)
1,270Bombs planted
202Bombs defused

Most-used weapons

Lifetime map wins

2,215dust2
1,578inferno
1,294nuke
632vertigo
197train
151office
39ar_shoots
22ar_baggage

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

Faceit stats

Combat

8Matches
38%Win rate
0.52Avg K/D
ADR
40%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.579.0
Anubis250%0.449.0
Ancient20%0.579.5
Vertigo1100%0.448.0

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.

19.0%Headshot accuracy
32.8%Accuracy (enemy spotted)
31.7%Spray accuracy
77.4%Counter-strafing
9.9°Preaim
631msReaction time
42.3%T opening success
46.1%CT opening success
0.59Enemies flashed / flash
4.1%Flash assists
7.94HE damage / grenade
9.78Flashes / match

Recommended for you

Spend your practice time on Ancient

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–70.0412%15 Sept
mirage3–12-0.0313%15 Sept
mirage5–13-0.1014%13 Sept
anubis13–90.0215%12 Sept
dust213–70.1429%9 Sept
mirage11–13-0.0313%2 Sept
mirage0–9-0.070%2 Sept
nuke5–13-0.0820%2 Sept
dust21–13-0.0917%1 Sept
inferno13–50.0116%14 Aug
cache4–13-0.0533%6 May
ancient16–140.0112%5 May
overpass7–13-0.0320%27 Apr
nuke13–80.0212%8 Apr
mirage13–11-0.097%6 Apr
mirage5–13-0.0923%19 Mar
anubis13–60.1825%12 Mar
mirage9–13-0.0220%8 Mar
dust210–13-0.0231%4 Mar
mirage7–130.0117%4 Mar
nuke13–80.0218%3 Mar
mirage11–13-0.0413%3 Mar
nuke6–13-0.0519%3 Mar
mirage13–9-0.0146%2 Mar
mirage13–50.0420%28 Feb
mirage5–13-0.1422%27 Feb
inferno7–90.039%21 Feb
mirage13–8-0.093%20 Feb
inferno13–50.0533%17 Feb
nuke10–13-0.0223%17 Feb
nuke13–5-0.0222%17 Feb
mirage8–13-0.039%16 Feb
mirage13–50.0921%11 Feb
mirage13–100.0116%9 Feb
ancient10–130.0120%4 Feb
dust213–11-0.0116%3 Feb
overpass11–13-0.0021%1 Feb
mirage13–2-0.0920%28 Jan
inferno13–90.0210%28 Jan
mirage11–130.0060%28 Jan
vertigo9–60.067%25 Jan
dust29–00.0417%25 Jan
nuke2–130.018%25 Jan
mirage2–13-0.060%25 Jan
dust28–13-0.150%24 Jan
anubis7–13-0.0425%22 Jan
nuke13–50.0719%22 Jan
mirage8–13-0.033%22 Jan
nuke3–9-0.150%16 Jan
mirage12–12-0.0216%16 Jan
dust21–13-0.0418%16 Jan
nuke3–9-0.0716%16 Jan
ancient5–60.0118%16 Jan
dust213–10-0.0214%27 Dec
inferno11–13-0.0420%25 Dec
overpass13–7-0.0819%25 Dec
vertigo13–11-0.0317%19 Dec
mirage4–13-0.1025%6 Dec
mirage11–13-0.037%3 Dec
mirage12–12-0.090%1 Dec
nuke13–3-0.0443%30 Nov
inferno2–13-0.050%26 Nov
train13–70.0032%26 Nov
mirage3–13-0.1036%25 Nov
mirage0–13-0.0421%20 Nov
mirage16–130.029%20 Nov
mirage13–50.0129%19 Nov
dust213–8-0.0118%19 Nov
mirage11–13-0.059%18 Nov
mirage16–13-0.0013%18 Nov
mirage16–140.0412%18 Nov
mirage5–13-0.0716%18 Nov
nuke13–10.0219%18 Nov
ancient4–13-0.0919%18 Nov
mirage13–50.0426%18 Nov
ancient13–9-0.0115%17 Nov
mirage13–100.0311%17 Nov
mirage2–13-0.0024%17 Nov
inferno4–12-0.0131%17 Nov
mirage13–2-0.0226%17 Nov
vertigo13–5-0.0813%13 Nov
mirage7–13-0.1013%12 Nov
inferno13–80.0114%11 Nov
mirage12–120.0117%8 Nov
mirage8–13-0.0323%7 Nov
train10–13-0.037%5 Nov
dust213–70.0623%4 Nov
anubis12–40.0320%4 Nov
inferno13–60.0027%3 Nov
dust213–100.0214%3 Nov
mirage4–13-0.0531%3 Nov
mirage13–60.1518%1 Nov
nuke13–5-0.0438%31 Oct
inferno9–40.1730%31 Oct
mirage10–130.0113%30 Oct
ancient10–13-0.0213%30 Oct
inferno6–13-0.0723%29 Oct
vertigo1–9-0.1620%28 Oct
dust23–13-0.0313%28 Oct
vertigo13–40.037%23 Oct

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 →