Cēsu Nikolajs

Cēsu Nikolajs — CS2 Stats

LV76561198289140445[U:1:328874717]Steam profile ↗✓ No bans

761Tracked matches33%Win rate2022Tracked since
CSDB Rating4.1 DevelopingPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGCēsu NikolajsFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim45
Positioning55
Utility33

0–100 skill scores via Leetify.

Recent form

COLD44–47–9Last 10044%Win rateWLLLLLLLLL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +0.2pp headshot accuracy · −23ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 670ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 664ms

Last 20

  • 4–16 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 675ms

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 against its own average).

Aim4.5
Utility3.3
Positioning5.5
Opening Duels4.6

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 82% 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

Reaction time. 649ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim4.5
Positioning5.5
Utility3.3
Mechanics4.4
Opening Duels4.6
Win Impact0.0

Composite 4.1/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time643ms−43ms
first ⅓ avg 686ms → last ⅓ avg 643ms
Headshot accuracy15.1%−2.2%
first ⅓ avg 17.3% → last ⅓ avg 15.1%

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

0.21Best match rating · 12–12 · nuke, 9 Sept →
100%Best headshot accuracy · 0–3 · mirage, 27 Aug →
406msFastest reaction time · 8–13 · inferno, 15 Sept →
13–2Biggest win · anubis, 17 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
2–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 80% over 5nukeWeakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
mirageC2611–1542%0.00
dust2B209–1145%0.00
nukeD195–1426%0.05
infernoC73–443%-0.02
trainB63–350%-0.04
anubisS54–180%0.02
vertigo—41–325%0.08
ancient—43–175%0.00
cache—32–167%0.02
shelter—21–150%0.02
overpass—21–150%0.05
boulder—10–10%-0.00
office—11–0100%0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.8%Headshot accuracy
35.1%Accuracy (enemy spotted)
38.1%Spray accuracy
69.8%Counter-strafing
12.5°Preaim
649msReaction time
44.6%T opening success
52.4%CT opening success
0.34Enemies flashed / flash
4.1%Flash assists
5.52HE damage / grenade
8.62Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.525° — above the 12° mark we flag

    Aim Training →
  2. 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 14.7675% — below the 15% mark we flag

    Aim Training →
  3. 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 0.337 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–80.0316%1 Oct →
mirage8–13-0.0818%1 Oct →
mirage8–130.0110%29 Sept →
mirage10–130.0016%28 Sept →
dust25–13-0.108%28 Sept →
nuke11–130.0313%25 Sept →
dust26–13-0.0222%25 Sept →
vertigo6–130.1018%23 Sept →
dust27–13-0.0415%23 Sept →
nuke9–130.0613%23 Sept →
nuke4–13-0.029%22 Sept →
nuke8–110.1017%21 Sept →
dust25–130.0213%20 Sept →
mirage9–130.1116%20 Sept →
anubis13–2-0.0920%17 Sept →
inferno8–13-0.055%15 Sept →
nuke8–130.018%13 Sept →
mirage13–20.1521%13 Sept →
nuke9–13-0.0211%11 Sept →
nuke13–30.1325%10 Sept →
nuke12–120.2124%9 Sept →
dust213–80.0013%8 Sept →
mirage3–130.0114%8 Sept →
mirage13–70.0218%7 Sept →
dust213–7-0.0114%7 Sept →
nuke12–120.0415%6 Sept →
mirage12–12-0.0112%5 Sept →
dust213–60.0517%4 Sept →
vertigo7–130.0214%3 Sept →
ancient13–90.0311%3 Sept →
train4–13-0.0713%2 Sept →
inferno11–130.0424%1 Sept →
inferno8–11-0.0216%31 Aug →
shelter10–130.0419%30 Aug →
train13–3-0.0212%30 Aug →
mirage6–13-0.0515%29 Aug →
overpass3–13-0.0122%28 Aug →
cache8–13-0.0426%28 Aug →
dust213–70.0722%27 Aug →
inferno13–100.1017%27 Aug →
dust213–7-0.0228%27 Aug →
mirage0–3-0.04100%27 Aug →
cache13–90.0225%27 Aug →
mirage13–90.0314%26 Aug →
nuke3–130.0722%26 Aug →
anubis13–60.1613%25 Aug →
vertigo8–130.0812%21 Aug →
anubis13–9-0.039%20 Aug →
mirage3–13-0.0713%20 Aug →
dust27–13-0.0013%20 Aug →
mirage13–110.026%19 Aug →
anubis2–13-0.0124%19 Aug →
train12–12-0.0329%19 Aug →
ancient5–13-0.0323%19 Aug →
nuke12–120.0212%17 Aug →
mirage11–20.008%17 Aug →
dust26–130.0218%17 Aug →
dust26–130.0127%16 Aug →
boulder12–12-0.0024%13 Aug →
nuke13–110.1412%13 Aug →
train13–90.0025%13 Aug →
mirage9–130.0112%13 Aug →
office13–100.0612%12 Aug →
dust26–130.0111%12 Aug →
mirage6–3-0.029%12 Aug →
train13–90.0019%12 Aug →
mirage11–13-0.0310%11 Aug →
ancient13–8-0.0011%11 Aug →
shelter13–10-0.0119%10 Aug →
mirage13–4-0.053%9 Aug →
overpass13–100.1024%6 Jun →
cache13–90.0720%5 Jun →
inferno13–2-0.0120%3 Jun →
nuke13–50.1823%3 Jun →
mirage13–80.0113%1 Jun →
train5–13-0.1118%31 May →
nuke13–60.0629%31 May →
inferno8–130.0026%31 May →
nuke12–120.058%28 May →
nuke5–13-0.1232%28 May →
ancient16–130.0217%26 May →
dust210–13-0.0113%25 May →
dust21–13-0.0223%25 May →
inferno8–8-0.180%13 Feb →
mirage10–13-0.0215%4 Feb →
nuke2–13-0.0716%4 Feb →
dust213–60.0128%3 Feb →
dust213–40.0329%2 Feb →
nuke7–130.0312%31 Jan →
mirage15–150.0317%30 Jan →
vertigo13–30.1115%30 Jan →
anubis13–30.0513%29 Jan →
mirage13–50.0522%28 Jan →
mirage13–9-0.0221%27 Jan →
mirage12–16-0.0211%27 Jan →
dust213–90.0215%27 Jan →
mirage13–90.0322%26 Jan →
dust211–130.0313%26 Jan →
mirage3–13-0.0215%26 Jan →
dust213–20.0311%26 Jan →

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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