Nicolaija

Nicolaija — CS2 Stats

76561198108191114[U:1:147925386]Steam profile ↗✓ No bans

1,055Tracked matches47%Win rate2020Tracked since
CSDB Rating4.6 DevelopingSupport
Premier CS Rating10,784Blue band · top ~50.7% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,055 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,784 -4,624 4 Oct – 9 Sept · 7 days played
10,78416,055peak 16,0554 Oct9 Sept
16,055Peak Premier in tracked matches
44Days played since 2024-10-04

Premier CS Rating

  • 5,271 below peak (16,055)
  • Next: Purple band at 15,000 — 4,216 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-09
  • Light Blue band first seen 2026-09-09

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

Share this profile

CSDB.GGNicolaijaFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER10,784 · Blue bandcsdb.gg/stats

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Performance scores

Aim51
Positioning44
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY43–57Last 10043%Win rateLLWLLWWWLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +1.7pp headshot accuracy · −66ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 636ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 621ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 654ms

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 (+1.8 against its own average).

Aim5.1
Utility5.8
Positioning4.4
Opening Duels2.2
Clutch3.6

Effective flashes

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

NiKo

Plays most like NiKo 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 44% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 676ms 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

Aim5.1
Positioning4.4
Utility5.8
Mechanics6.6
Opening Duels1.8
Win Impact3.9

Composite 4.6/10 (Developing), 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 rating-0.02−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time669ms−44ms
first ⅓ avg 713ms → last ⅓ avg 669ms
Headshot accuracy12.6%−1.4%
first ⅓ avg 13.9% → last ⅓ avg 12.6%

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

0.11Best match rating · 13–3 · inferno, 13 Nov →
37%Best headshot accuracy · 11–13 · inferno, 27 Jul →
438msFastest reaction time · 5–0 · dust2, 13 Jul →
13–1Biggest win · anubis, 12 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
9–10In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 64% over 11ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC269–1735%-0.02
dust2B147–750%-0.02
nukeA127–558%-0.01
anubisA117–464%-0.00
cacheC104–640%-0.03
mirageA106–460%-0.02
ancientD72–529%-0.02
train—40–40%-0.03
vertigo—30–30%-0.03
overpass—20–20%-0.06
assembly—11–0100%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,461Matches
50%Win rate
0.94Avg K/D
78.5ADR
37%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno6860%1.0514.8
Mirage5046%0.9315.0
Anubis4949%0.9514.2
Nuke3661%0.9415.0
Dust23043%0.8813.8
Ancient2138%0.9014.6
Vertigo2050%0.9815.2
Cache1060%0.8114.2

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.

12.5%Headshot accuracy
33.7%Accuracy (enemy spotted)
33.8%Spray accuracy
79.5%Counter-strafing
9.4°Preaim
676msReaction time
26.3%T opening success
44.4%CT opening success
0.76Enemies flashed / flash
2.2%Flash assists
9.28HE damage / grenade
9.13Flashes / 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 12.4626% — below the 15% mark we flag

    Aim Training →
  2. 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 26.2649% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.089%30 Aug →
inferno9–13-0.0215%23 Aug →
inferno13–8-0.0420%22 Aug →
inferno14–16-0.0320%18 Aug →
cache4–13-0.0613%18 Aug →
cache13–50.0019%18 Aug →
nuke16–13-0.0410%17 Aug →
cache13–10-0.058%17 Aug →
ancient10–130.019%17 Aug →
inferno13–80.0211%16 Aug →
inferno16–140.008%11 Aug →
nuke13–100.0410%11 Aug →
inferno13–10-0.0315%9 Aug →
cache13–90.0314%8 Aug →
cache10–13-0.068%5 Aug →
mirage13–90.0212%5 Aug →
nuke16–13-0.039%5 Aug →
inferno11–130.0120%4 Aug →
cache9–13-0.085%4 Aug →
ancient7–13-0.0415%3 Aug →
anubis13–2-0.034%3 Aug →
nuke11–13-0.058%3 Aug →
overpass17–19-0.0017%31 Jul →
inferno10–13-0.0518%31 Jul →
mirage25–23-0.019%30 Jul →
inferno7–9-0.0714%30 Jul →
anubis25–210.0213%21 Jul →
cache17–19-0.0214%15 Jul →
cache6–13-0.0510%15 Jul →
ancient11–13-0.0515%15 Jul →
inferno8–13-0.0618%14 Jul →
nuke7–13-0.0316%13 Jul →
inferno7–130.037%13 Jul →
dust216–130.0220%13 Jul →
dust25–00.0417%13 Jul →
nuke14–16-0.0714%12 Jul →
anubis13–1-0.0411%12 Jul →
cache2–13-0.078%12 Jul →
dust213–6-0.068%12 Jul →
mirage10–13-0.0313%12 Jul →
cache13–60.0815%12 Jul →
ancient9–130.0123%12 Jul →
nuke16–140.0215%12 Jul →
dust29–13-0.0215%12 Jul →
inferno4–13-0.0219%6 Jul →
mirage13–11-0.0517%6 Jul →
nuke10–130.0823%6 Jul →
inferno0–13-0.0517%5 Jul →
nuke13–8-0.058%5 Jul →
ancient13–80.0312%5 Jul →
train5–13-0.0126%29 Jul →
overpass5–13-0.1214%29 Jul →
mirage7–13-0.0212%29 Jul →
inferno11–13-0.0337%27 Jul →
inferno13–9-0.032%27 Jul →
anubis16–19-0.0110%3 Jan →
dust210–13-0.0311%3 Jan →
dust213–9-0.0420%2 Jan →
inferno13–9-0.055%1 Jan →
inferno2–13-0.0913%22 Dec →
mirage13–11-0.019%22 Dec →
nuke13–90.0230%21 Dec →
inferno9–13-0.0115%21 Dec →
anubis13–60.0514%21 Dec →
dust213–20.0219%20 Dec →
anubis13–70.0513%19 Dec →
mirage13–7-0.0116%19 Dec →
inferno4–13-0.0421%19 Dec →
train7–13-0.0223%19 Dec →
anubis10–130.0116%14 Dec →
train7–13-0.0611%14 Dec →
mirage5–13-0.088%13 Dec →
anubis13–16-0.029%13 Dec →
dust213–10-0.0014%12 Dec →
nuke13–60.0218%12 Dec →
dust27–13-0.017%9 Dec →
inferno5–130.0810%26 Nov →
mirage13–8-0.0024%16 Nov →
anubis13–11-0.045%16 Nov →
inferno11–13-0.0313%16 Nov →
train3–13-0.0115%16 Nov →
vertigo6–130.0212%13 Nov →
inferno13–30.1120%13 Nov →
dust27–13-0.0217%13 Nov →
dust22–13-0.087%9 Nov →
anubis13–11-0.0310%9 Nov →
anubis7–13-0.029%6 Nov →
dust29–13-0.079%6 Nov →
inferno13–30.0610%6 Nov →
inferno10–13-0.0218%4 Nov →
mirage3–13-0.0313%4 Nov →
vertigo7–13-0.049%3 Nov →
dust27–13-0.0113%3 Nov →
ancient16–13-0.0216%28 Oct →
ancient6–13-0.0925%19 Oct →
inferno5–9-0.1218%19 Oct →
assembly9–70.0812%19 Oct →
vertigo10–13-0.0617%4 Oct →
dust213–11-0.0210%4 Oct →
inferno13–9-0.0015%4 Oct →

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 →

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