NicoP

NicoP — CS2 Stats

76561198273978331[U:1:313712603]Steam profile ↗✓ No bans

469Tracked matches37%Win rate2020Tracked since
CSDB Rating3.1 LearningPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 10,789 -801 30 Dec – 18 Jan · 6 days played
10,78911,977peak 11,97730 Dec18 Jan
11,977Peak Premier in tracked matches
38Days played since 2024-12-30

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

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CSDB.GGNicoPFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim32
Positioning44
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY36–59–5Last 10036%Win rateLLWLLLWTWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −3.7pp headshot accuracy · −113ms 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 19%
  • Avg reaction 686ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 681ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 738ms

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).

Aim3.2
Utility2.3
Positioning4.4
Opening Duels0.9

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

jL

Plays most like jL 76% 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. 736ms 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

Aim3.2
Positioning4.4
Utility2.3
Mechanics5.1
Opening Duels1.1
Win Impact0.7

Composite 3.1/10 (Learning), 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+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time733ms+3ms
first ⅓ avg 731ms → last ⅓ avg 733ms
Headshot accuracy20.7%+1.6%
first ⅓ avg 19.1% → last ⅓ avg 20.7%

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

0.15Best match rating · 5–0 · jura, 3 Aug →
41%Best headshot accuracy · 2–13 · train, 12 Jan →
492msFastest reaction time · 0–13 · dust2, 29 Apr →
13–2Biggest win · dust2, 7 Jan →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
3–9In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 60% over 20ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
nukeA2012–860%-0.02
mirageD155–1033%-0.03
dust2C135–838%-0.04
infernoD134–931%-0.06
ancientD91–811%-0.06
trainD93–633%-0.02
anubisC83–538%-0.01
overpassD51–420%-0.06
jura—31–233%0.01
vertigo—31–233%-0.01
brewery—10–10%-0.14
dogtown—10–10%-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

58Matches
43%Win rate
0.83Avg K/D
—ADR
49%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1540%0.7010.0
Anubis1040%1.1112.9
Vertigo838%0.759.5
Ancient771%0.9512.1
Inferno650%0.9613.7
Nuke475%0.8610.8
Dust2425%0.7011.3

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.

19.9%Headshot accuracy
23.6%Accuracy (enemy spotted)
28.1%Spray accuracy
73.1%Counter-strafing
8.9°Preaim
736msReaction time
38.8%T opening success
26.8%CT opening success
0.55Enemies flashed / flash
3.7%Flash assists
7.41HE damage / grenade
4.28Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 736.3269ms — above the 700ms 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 38.8084% — 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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–16-0.0314%26 Apr →
ancient9–13-0.0319%26 Apr →
nuke13–80.0421%26 Apr →
ancient11–13-0.0518%16 Jan →
overpass9–13-0.1125%16 Jan →
nuke6–13-0.0519%16 Jan →
dust213–10-0.0610%16 Jan →
ancient12–12-0.079%25 Nov →
train13–3-0.0333%11 Oct →
mirage13–9-0.0014%11 Oct →
dust213–9-0.077%11 Oct →
overpass12–12-0.0410%11 Oct →
mirage13–100.0215%10 Oct →
dust213–3-0.0621%10 Oct →
mirage9–13-0.0640%15 Sept →
train8–13-0.0438%10 Sept →
dust212–12-0.0424%10 Sept →
dust210–13-0.0313%6 Sept →
ancient6–13-0.0736%6 Sept →
mirage5–13-0.0414%6 Sept →
inferno11–13-0.0213%6 Sept →
overpass11–130.0216%12 Aug →
dust23–13-0.0528%8 Aug →
mirage3–130.0524%8 Aug →
train10–13-0.0521%3 Aug →
nuke13–50.0523%3 Aug →
overpass13–8-0.0722%3 Aug →
jura10–13-0.0417%3 Aug →
jura5–00.1527%3 Aug →
mirage8–13-0.0530%3 Aug →
dust24–13-0.1125%3 Aug →
jura8–13-0.0724%3 Aug →
nuke13–8-0.0316%2 Aug →
nuke10–13-0.0829%2 Aug →
train7–130.0728%2 Aug →
inferno6–13-0.0518%2 Aug →
brewery6–9-0.1417%2 Aug →
inferno1–9-0.2729%2 Aug →
dogtown5–9-0.0918%2 Aug →
train11–13-0.0222%14 Jul →
mirage13–10-0.0123%11 Jul →
anubis11–30.0425%11 Jul →
dust28–50.0213%11 Jul →
ancient5–13-0.053%10 Jul →
anubis13–60.0528%10 Jul →
dust21–13-0.0337%10 Jul →
ancient0–13-0.089%29 Apr →
dust20–13-0.090%29 Apr →
mirage13–110.0117%11 Apr →
anubis13–8-0.0426%11 Apr →
anubis4–110.0724%25 Mar →
nuke7–130.0120%25 Mar →
inferno5–9-0.0619%25 Mar →
anubis9–13-0.0415%11 Mar →
nuke13–40.0324%11 Mar →
inferno8–8-0.0111%11 Mar →
dust211–13-0.0310%5 Mar →
nuke7–13-0.0815%18 Feb →
anubis9–13-0.0119%18 Feb →
nuke13–80.0121%17 Feb →
train13–40.0331%16 Feb →
nuke11–130.0126%16 Feb →
nuke7–90.0221%16 Feb →
train9–130.0320%12 Feb →
nuke13–8-0.0326%12 Feb →
mirage6–13-0.0822%10 Feb →
nuke9–50.0022%10 Feb →
nuke9–13-0.0733%3 Feb →
dust21–9-0.0310%3 Feb →
inferno13–8-0.0014%3 Feb →
overpass3–9-0.1016%3 Feb →
inferno4–13-0.108%28 Jan →
train13–6-0.0721%20 Jan →
mirage13–4-0.0410%20 Jan →
inferno6–13-0.0619%18 Jan →
mirage9–13-0.0721%14 Jan →
nuke13–8-0.0617%13 Jan →
anubis8–13-0.0921%13 Jan →
ancient11–13-0.1011%13 Jan →
ancient13–8-0.0233%12 Jan →
train2–13-0.0941%12 Jan →
vertigo13–70.0629%12 Jan →
mirage5–13-0.0418%11 Jan →
nuke13–11-0.0138%11 Jan →
anubis7–13-0.0313%11 Jan →
nuke16–12-0.0017%10 Jan →
inferno8–0-0.008%10 Jan →
nuke8–13-0.0518%7 Jan →
inferno8–13-0.0420%7 Jan →
mirage12–12-0.079%7 Jan →
vertigo9–13-0.0423%7 Jan →
dust213–20.0313%7 Jan →
nuke9–5-0.0923%7 Jan →
inferno4–9-0.0823%7 Jan →
inferno13–11-0.0610%2 Jan →
mirage9–13-0.0628%2 Jan →
inferno9–4-0.0526%2 Jan →
vertigo11–13-0.0413%1 Jan →
ancient8–13-0.0616%30 Dec →
nuke13–80.0111%30 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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