nitrojakub

nitrojakub — CS2 Stats

CA76561198321006321[U:1:360740593]Steam profile ↗✓ No bans

427Tracked matches50%Win rate2021Tracked since
1,601Hours in CS
CSDB Rating4.9 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (53 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 427
−3.6ppWin rate · 53.6% → 50.0%

Rating over time

54Days played since 2024-12-04

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim58
Positioning50
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY42–48–10Last 10042%Win rateLWWLWLWLWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −11.2pp headshot accuracy · +9ms reaction

Win rate up 30pp 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 -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 595ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 611ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 607ms

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 Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim5.8
Utility4.5
Positioning5.0
Opening Duels2.1
Clutch0.8

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 87% 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

T-side openings. Opening success drops from 51% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms 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
Positioning5.0
Utility4.5
Mechanics4.5
Opening Duels2.6
Win Impact5.0

Composite 4.9/10 (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-0.03−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.03
Reaction time606ms−50ms
first ⅓ avg 656ms → last ⅓ avg 606ms
Headshot accuracy22.7%−2.3%
first ⅓ avg 25.0% → last ⅓ avg 22.7%

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 · 13–2 · ancient, 20 Oct →
100%Best headshot accuracy · 0–13 · vertigo, 26 Aug →
445msFastest reaction time · 7–13 · office, 13 May →
13–2Biggest win · nuke, 27 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 57% over 7ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
cacheC2510–1540%-0.01
mirageB2412–1250%-0.01
dust2C125–742%-0.02
ancientD124–833%-0.00
nukeA74–357%-0.02
inferno—41–325%-0.01
anubis—42–250%-0.01
office—41–325%0.00
vertigo—31–233%-0.03
train—31–233%-0.01
overpass—21–150%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,967Lifetime kills
1.06K/D · Top 50% of tracked players
1,088Matches
46.5%Match win rate · Top 50% of tracked players
50.3%Headshot % · Top 25% of tracked players
13.9%Shot accuracy · Top 50% of tracked players
2,228MVPs
1,601Hours (in match)
1,232Bombs planted
325Bombs defused

Most-used weapons

Lifetime map wins

1,765dust2
957nuke
641vertigo
368inferno
187office
167train
69cbble
65italy

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

Faceit stats

Combat

64Matches
50%Win rate
0.84Avg K/D
59.1ADR
46%Headshot %

Clutches & streaks

24%1v1 clutch win
14%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2450%0.8111.2
Dust21354%0.8311.8
Ancient1040%0.8713.1
Anubis956%0.7912.4
Nuke3100%1.0712.0
Vertigo10%0.9222.0
Lagos10%0.8113.0
Cache1100%0.829.0

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.

20.7%Headshot accuracy
31.8%Accuracy (enemy spotted)
38.0%Spray accuracy
70.3%Counter-strafing
10.9°Preaim
605msReaction time
27.9%T opening success
50.9%CT opening success
0.56Enemies flashed / flash
7.9%Flash assists
7.21HE damage / grenade
7.71Flashes / 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 27.9004% — below the 40% mark we flag

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–16-0.0316%23 Sept →
mirage13–7-0.0012%23 Sept →
cache13–5-0.0327%8 Sept →
mirage11–130.0131%4 Sept →
nuke13–9-0.086%4 Sept →
dust29–13-0.0311%3 Sept →
mirage16–130.0122%1 Sept →
ancient9–130.0025%1 Sept →
mirage13–7-0.0120%31 Aug →
nuke13–9-0.0217%30 Aug →
nuke13–2-0.0219%27 Aug →
vertigo0–13-0.06100%26 Aug →
mirage6–13-0.0537%26 Aug →
mirage3–13-0.0910%17 Aug →
ancient5–13-0.0533%17 Aug →
mirage6–13-0.0324%10 Aug →
cache11–13-0.0318%10 Aug →
cache13–9-0.0614%8 Aug →
ancient9–13-0.0321%8 Aug →
ancient13–90.0122%1 Aug →
mirage16–12-0.0415%23 Jul →
mirage13–4-0.0315%23 Jul →
cache15–15-0.0421%20 Jul →
ancient13–11-0.0523%20 Jul →
mirage13–40.0231%18 Jul →
nuke8–13-0.0425%18 Jul →
anubis6–13-0.0620%6 Jul →
mirage9–130.0410%6 Jul →
mirage13–8-0.0018%30 Jun →
cache12–120.0316%29 Jun →
mirage13–50.0218%29 Jun →
anubis13–7-0.0317%27 Jun →
mirage8–13-0.0632%27 Jun →
nuke15–15-0.0319%26 Jun →
mirage6–130.0329%26 Jun →
inferno13–80.0032%23 Jun →
cache13–11-0.0327%23 Jun →
dust21–13-0.0827%13 Jun →
vertigo4–13-0.046%13 Jun →
office1–13-0.066%13 Jun →
cache12–12-0.0318%10 Jun →
vertigo13–100.0122%9 Jun →
cache3–130.0110%7 Jun →
cache7–13-0.0318%7 Jun →
cache13–40.0533%3 Jun →
ancient5–13-0.065%3 Jun →
dust29–13-0.0513%3 Jun →
cache9–13-0.0318%31 May →
dust213–60.0320%31 May →
mirage13–20.0619%31 May →
cache13–90.0221%29 May →
cache4–13-0.0524%27 May →
dust213–11-0.0132%27 May →
cache13–60.0132%26 May →
mirage8–13-0.0224%26 May →
cache3–130.0236%23 May →
cache11–13-0.0013%23 May →
cache9–130.0324%23 May →
cache13–9-0.0411%23 May →
cache12–12-0.0141%18 May →
cache13–80.0229%18 May →
cache13–50.0726%15 May →
cache7–13-0.0324%15 May →
cache13–90.0322%13 May →
office7–130.0429%13 May →
cache7–130.0125%12 May →
cache12–12-0.0813%10 May →
anubis13–80.0228%26 Apr →
nuke11–13-0.0122%26 Apr →
mirage8–13-0.0420%15 Nov →
dust25–13-0.0637%15 Nov →
mirage13–11-0.0531%3 Nov →
ancient12–120.0217%30 Oct →
overpass5–130.0111%30 Oct →
mirage13–40.0119%30 Oct →
dust213–110.0022%30 Oct →
nuke13–90.0726%20 Oct →
ancient13–20.1018%20 Oct →
dust29–13-0.0332%20 Oct →
mirage6–13-0.0927%20 Oct →
dust213–70.0035%19 Oct →
inferno10–130.0234%8 Oct →
overpass13–50.0429%8 Oct →
ancient13–70.0517%8 Oct →
train12–120.0127%6 Oct →
train13–110.0237%5 Oct →
mirage13–90.0615%2 Oct →
dust213–6-0.0140%29 Jul →
office13–50.0633%29 Jul →
inferno7–13-0.046%29 Jul →
mirage6–13-0.0322%3 Feb →
train3–13-0.0618%27 Jan →
office10–13-0.0533%21 Jan →
anubis11–130.0219%20 Jan →
ancient12–120.019%20 Jan →
dust25–130.0453%18 Dec →
mirage7–13-0.0411%18 Dec →
ancient8–13-0.0829%18 Dec →
ancient12–120.0418%4 Dec →
dust29–13-0.0129%4 Dec →

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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