tupec jakubko

tupec jakubko — CS2 Stats

VG76561198954750924[U:1:994485196]Steam profile ↗✓ No bans

471Tracked matches59%Win rate2020Tracked since
926Hours in CS14Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating17,942Purple band · top ~16.7% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). 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: 17,942 +2,488 26 Jul – 13 Nov · 29 days played
14,80617,942peak 17,94226 Jul13 Nov
17,942Peak Premier in tracked matches
35Days played since 2026-07-15

Premier CS Rating

  • At peak — 17,942
  • +2,670 over 30 days · improving
  • +2,942 over 90 days
  • Next: Pink band at 20,000 — 2,058 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-23
  • 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 Level 7 among CSDB-tracked players (n=14,595), 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 rate47.4%45.7%46.8%meets
Shot accuracy13.7%12.7%13.0%above
Kill/death ratio0.981.051.060.08 short
Match win rate48.1%45.7%46.3%above

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

Widest gap: Kill/death ratio. 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.GGtupec jakubkoFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER17,942 · Purple 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

Aim60
Positioning42
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateLWLWWWLWLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +3.7pp headshot accuracy · −32ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 492ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 500ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 516ms

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: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim6.0
Utility5.6
Positioning4.2
Opening Duels0.0
Clutch3.6

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

b1t

Plays most like b1t 77% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 59% on T to 24% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.0
Positioning4.2
Utility5.6
Mechanics3.6
Opening Duels3.7
Win Impact7.9

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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time521ms−53ms
first ⅓ avg 574ms → last ⅓ avg 521ms
Headshot accuracy14.3%−6.0%
first ⅓ avg 20.2% → last ⅓ avg 14.3%

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

0.14Best match rating · 9–3 · inferno, 30 Sept →
75%Best headshot accuracy · 5–1 · rush_001, 7 Oct →
359msFastest reaction time · 13–7 · mirage, 15 Oct →
13–1Biggest win · inferno, 30 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 72% over 25cacheWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoS2617–965%0.00
mirageS2518–772%-0.01
dust2B2010–1050%-0.03
nukeB126–650%-0.01
cacheD81–713%-0.04
ancient—42–250%-0.02
rush_001—31–233%-0.03
anubis—20–20%-0.04

Across the last 100 tracked matches.

Lifetime stats

23,277Lifetime kills
0.98K/D
1,348Matches
48.1%Match win rate · Top 50% of Level 7 players
47.4%Headshot % · Top 50% of Level 7 players
13.7%Shot accuracy · Top 50% of Level 7 players
3,493MVPs
556Hours (in match)
1,305Bombs planted
312Bombs defused

Most-used weapons

AK-476,218
AWP1,799
SSG 081,531
MP7758
HE Grenade424

Lifetime map wins

2,103inferno
1,499dust2
740nuke
245vertigo
209train
185cbble
45office
13lake

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

Faceit stats

Combat

222Matches
57%Win rate
0.93Avg K/D
68.6ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
38%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1867%1.1411.8
Inferno1182%1.0311.4
Cache4100%1.0014.8
Nuke450%0.569.8
Dust2367%0.8110.3
Ancient1100%0.6210.0

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.

13.9%Headshot accuracy
33.5%Accuracy (enemy spotted)
34.1%Spray accuracy
66.3%Counter-strafing
8.6°Preaim
518msReaction time
59.4%T opening success
23.7%CT opening success
0.51Enemies flashed / flash
7.6%Flash assists
11.25HE damage / grenade
4.66Flashes / 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 13.8897% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 23.666% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust22–13-0.0321%14 Nov →
inferno13–60.0426%13 Nov →
nuke10–13-0.0715%13 Nov →
mirage13–9-0.0213%13 Nov →
inferno13–40.028%13 Nov →
mirage13–50.0517%11 Nov →
inferno4–13-0.0320%11 Nov →
inferno13–80.0222%11 Nov →
cache5–13-0.136%11 Nov →
dust213–90.0117%11 Nov →
inferno9–4-0.0510%11 Nov →
nuke13–90.0711%9 Nov →
ancient7–13-0.044%9 Nov →
mirage13–9-0.0121%5 Nov →
ancient10–13-0.0316%5 Nov →
cache5–13-0.106%21 Oct →
mirage3–13-0.0815%21 Oct →
anubis8–13-0.0116%21 Oct →
inferno13–70.0013%20 Oct →
inferno8–130.0718%20 Oct →
dust213–10-0.0616%20 Oct →
mirage11–13-0.076%19 Oct →
mirage13–9-0.0313%19 Oct →
mirage13–100.0613%19 Oct →
ancient13–110.0520%19 Oct →
inferno15–15-0.016%17 Oct →
inferno6–2-0.0110%17 Oct →
nuke13–6-0.0115%17 Oct →
inferno6–2-0.0425%17 Oct →
mirage13–7-0.078%15 Oct →
nuke8–13-0.1011%15 Oct →
dust28–130.0123%8 Oct →
inferno13–5-0.0414%8 Oct →
mirage8–130.0220%8 Oct →
cache8–13-0.0132%8 Oct →
inferno13–60.0712%8 Oct →
dust216–14-0.0120%7 Oct →
mirage13–50.0611%7 Oct →
nuke13–40.0320%7 Oct →
inferno9–13-0.0512%7 Oct →
nuke15–15-0.0110%7 Oct →
rush_0017–8-0.100%7 Oct →
rush_0011–5-0.030%7 Oct →
rush_0015–10.0575%7 Oct →
inferno14–160.0210%5 Oct →
ancient16–14-0.0512%5 Oct →
dust25–13-0.076%1 Oct →
mirage9–13-0.0310%1 Oct →
inferno13–1-0.0123%30 Sept →
inferno13–10-0.0424%30 Sept →
inferno9–30.1440%30 Sept →
inferno3–9-0.1617%30 Sept →
dust213–8-0.027%29 Sept →
mirage14–16-0.028%29 Sept →
mirage13–50.0616%29 Sept →
inferno12–120.0618%27 Sept →
cache6–13-0.0324%24 Sept →
inferno11–130.0134%24 Sept →
dust25–13-0.0524%24 Sept →
anubis9–13-0.0711%24 Sept →
mirage13–5-0.0129%23 Sept →
mirage13–10-0.058%22 Sept →
inferno13–100.0235%22 Sept →
mirage13–8-0.0850%22 Sept →
inferno11–130.0530%22 Sept →
dust213–6-0.0114%22 Sept →
mirage13–100.0122%22 Sept →
cache13–11-0.0126%21 Sept →
inferno13–80.0346%6 Sept →
dust216–12-0.0617%6 Sept →
nuke8–13-0.0225%6 Sept →
mirage13–40.0924%31 Aug →
dust213–80.0222%31 Aug →
cache7–130.0311%26 Aug →
nuke16–130.0329%26 Aug →
inferno13–9-0.0117%24 Aug →
dust214–16-0.0418%24 Aug →
dust22–13-0.1125%9 Aug →
cache10–13-0.0615%6 Aug →
nuke8–13-0.0616%6 Aug →
dust22–13-0.0836%6 Aug →
dust28–13-0.0429%27 Jul →
nuke13–30.0718%27 Jul →
mirage13–4-0.0010%27 Jul →
mirage15–15-0.0321%26 Jul →
mirage13–11-0.0717%26 Jul →
mirage13–70.0110%26 Jul →
inferno16–140.0115%25 Jul →
nuke8–13-0.0022%23 Jul →
dust213–7-0.0316%23 Jul →
cache11–13-0.0218%23 Jul →
dust213–40.0226%21 Jul →
nuke13–5-0.073%21 Jul →
dust28–13-0.0620%21 Jul →
dust26–13-0.1115%20 Jul →
mirage9–13-0.0423%20 Jul →
mirage13–50.0224%19 Jul →
mirage16–14-0.0226%19 Jul →
inferno13–11-0.0510%15 Jul →
dust213–80.0317%15 Jul →

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 →

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