Nico)

Nico) — CS2 Stats

76561198202481600[U:1:242215872]Steam profile ↗✓ No bans

1,165Tracked matches63%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPositional Player
FaceitLevel 10 · 2,122 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGNico)FACEITLevel 10 · 2,122 ELOSTANDINGTop 12.4% of rankedcsdb.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

Aim53
Positioning59
Utility33

0–100 skill scores via Leetify.

Recent form

HOT52–47–1Last 10052%Win rateWWLWWWWWWL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −1.4pp headshot accuracy · +5ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 592ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 622ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 620ms

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 (+2.4 against its own average).

Aim5.3
Utility3.3
Positioning5.9
Opening Duels2.4
Clutch2.4

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 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 638ms 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

Aim5.3
Positioning5.9
Utility3.3
Mechanics6.7
Opening Duels2.0
Win Impact9.4

Composite 5.4/10 (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 rating0.00+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time637ms+12ms
first ⅓ avg 625ms → last ⅓ avg 637ms
Headshot accuracy19.4%+0.2%
first ⅓ avg 19.2% → last ⅓ avg 19.4%

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 · 13–5 · nuke, 11 Sept →
39%Best headshot accuracy · 5–13 · mirage, 28 Feb →
422msFastest reaction time · 11–13 · vertigo, 9 Sept →
13–0Biggest win · nuke, 17 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
8–7In matches decided by ≤2 rounds
24Overtime games

Map breakdown

nukeBest map · 70% over 23ancientWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
nukeS2316–770%0.00
mirageC2310–1343%-0.02
ancientD164–1225%-0.03
infernoA138–562%-0.00
dust2S128–467%-0.01
trainA53–260%-0.00
anubis—31–233%-0.07
vertigo—30–30%-0.02
cache—11–0100%-0.04
overpass—11–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,561Matches
53%Win rate
1.02Avg K/D
69.3ADR
46%Headshot %

Clutches & streaks

32%1v1 clutch win
19%1v2 clutch win
15Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage14948%0.8512.7
Dust212256%0.9113.6
Nuke11062%1.0114.2
Ancient5038%0.8513.7
Inferno3653%0.8212.7
Train3171%0.9714.4
Vertigo50%0.9316.2
Anubis520%0.8112.0

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.

19.2%Headshot accuracy
30.5%Accuracy (enemy spotted)
33.3%Spray accuracy
80.3%Counter-strafing
11.3°Preaim
638msReaction time
38.5%T opening success
37.6%CT opening success
0.57Enemies flashed / flash
4.5%Flash assists
8.72HE damage / grenade
7.20Flashes / 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 38.5377% — 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.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–30.0922%24 Oct →
mirage16–130.0123%23 Oct →
ancient9–13-0.0527%17 Oct →
inferno13–40.0611%17 Oct →
nuke13–00.0214%17 Oct →
nuke16–14-0.029%9 Oct →
cache13–8-0.0412%9 Oct →
nuke13–50.0311%12 Jan →
mirage13–20.0529%30 Nov →
train9–13-0.0217%15 Aug →
inferno6–13-0.037%13 Jun →
nuke7–13-0.0625%26 May →
train13–9-0.0225%23 May →
train3–13-0.0512%22 May →
mirage13–20.0313%10 May →
dust26–13-0.0223%10 May →
dust213–11-0.0220%10 May →
dust213–40.0120%10 May →
train13–60.0320%10 May →
nuke10–13-0.0324%9 May →
mirage8–13-0.0226%9 May →
dust219–16-0.0312%3 May →
nuke13–50.0832%30 Apr →
train13–20.0431%24 Apr →
dust28–13-0.0723%23 Apr →
mirage13–60.0820%16 Apr →
inferno11–130.0121%3 Apr →
nuke13–50.0119%28 Mar →
dust211–13-0.0320%25 Mar →
dust213–60.0112%11 Mar →
dust213–70.0116%8 Mar →
dust213–7-0.0225%5 Mar →
mirage9–130.0219%15 Jan →
dust213–110.0323%15 Dec →
nuke7–13-0.0915%3 Dec →
mirage19–17-0.0220%25 Oct →
nuke13–100.0116%21 Oct →
inferno13–10-0.0317%20 Sept →
dust29–13-0.0422%18 Sept →
inferno14–160.0116%21 Jul →
mirage5–13-0.0613%10 Jul →
nuke13–70.0417%6 Jun →
ancient7–13-0.1120%4 Jun →
inferno13–90.0921%25 May →
dust216–140.0426%25 May →
nuke13–8-0.0214%25 May →
anubis7–13-0.135%29 Apr →
vertigo8–130.0123%15 Apr →
nuke13–80.029%15 Apr →
nuke13–9-0.0216%15 Apr →
ancient8–13-0.0714%15 Apr →
ancient10–130.0425%11 Apr →
overpass16–130.0114%11 Apr →
mirage8–13-0.0232%11 Apr →
mirage3–13-0.1222%8 Apr →
mirage8–13-0.0318%3 Apr →
ancient22–25-0.0525%25 Mar →
mirage7–13-0.1022%23 Mar →
nuke13–6-0.0417%23 Mar →
ancient5–13-0.0723%23 Mar →
mirage3–13-0.0927%23 Mar →
anubis13–100.0219%21 Mar →
inferno13–90.0426%21 Mar →
ancient13–10-0.0333%21 Mar →
mirage13–10-0.0611%21 Mar →
inferno1–13-0.0932%29 Feb →
ancient13–90.0010%29 Feb →
mirage13–90.0314%28 Feb →
mirage5–13-0.0139%28 Feb →
nuke11–9-0.0016%28 Feb →
mirage8–13-0.1012%26 Feb →
inferno13–10-0.0121%22 Feb →
vertigo9–13-0.0224%22 Feb →
inferno13–4-0.0123%22 Feb →
ancient6–130.0210%10 Feb →
ancient13–9-0.0433%19 Sept →
ancient13–50.0115%13 Sept →
ancient12–160.0411%13 Sept →
nuke15–15-0.0510%11 Sept →
mirage13–30.0212%11 Sept →
nuke13–50.1524%11 Sept →
inferno16–140.0115%11 Sept →
anubis2–13-0.1019%10 Sept →
nuke11–13-0.0129%10 Sept →
ancient8–13-0.0520%10 Sept →
vertigo11–13-0.0421%9 Sept →
nuke13–40.1033%9 Sept →
ancient14–16-0.0315%1 Sept →
mirage16–9-0.0026%1 Sept →
mirage4–16-0.0516%1 Sept →
nuke16–50.0011%1 Sept →
mirage12–16-0.0729%30 Aug →
inferno16–140.0216%30 Aug →
mirage10–16-0.0118%30 Aug →
ancient11–160.0021%26 Aug →
inferno7–16-0.1119%26 Aug →
mirage16–11-0.0219%26 Aug →
nuke7–16-0.0518%25 Aug →
ancient17–19-0.0410%25 Aug →
nuke12–16-0.0517%25 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.