Nottie

Nottie — CS2 Stats

FI76561197988636200[U:1:28370472]Steam profile ↗✓ No bans

1,479Tracked matches40%Win rate2020Tracked since
CSDB Rating3.9 LearningSupport
Premier CS Rating20,552Top 50% of 204,316 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#72893 of 251387 tracked
FaceitLevel 7 · 1,376 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,552 +2,852 17 Jun – 11 Oct · 22 days played
17,70021,886peak 21,88617 Jun11 Oct
Faceit ELO: 1,376 +0 31 Aug – 7 Sept · 4 observations
1,3761,376peak 1,37631 Aug7 Sept
21,886Peak Premier in tracked matches
1,376Highest Faceit ELO seen on CSDB
29Days played since 2026-06-17

Faceit ELO

  • At peak — 1,376
  • Next: Level 8 at 1,531 — 155 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-31
  • Level 6 first seen 2026-08-31

Premier CS Rating

  • 1,334 below peak (21,886)
  • +408 over 30 days · improving
  • +880 over 90 days
  • Next: Red band at 25,000 — 4,448 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGNottieFACEITLevel 7 · 1,376 ELOSTANDINGTop 42.3% of rankedPREMIER20,552 · Pink bandPEAK ELO1,376csdb.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

Aim40
Positioning44
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateWLLLLWWWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +0.2pp headshot accuracy · −27ms 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 -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 552ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 553ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 567ms

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 (+2.9 against its own average).

Aim4.0
Utility7.0
Positioning4.4
Opening Duels1.3
Clutch3.8

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

ZywOo

Plays most like ZywOo 66% 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

Areas to improve

Reaction time. 564ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim4.0
Positioning4.4
Utility7.0
Mechanics2.2
Opening Duels1.8
Win Impact1.7

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time568ms−44ms
first ⅓ avg 612ms → last ⅓ avg 568ms
Headshot accuracy11.3%−0.1%
first ⅓ avg 11.4% → last ⅓ avg 11.3%

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

0.14Best match rating · 13–2 · dust2, 9 Oct →
29%Best headshot accuracy · 2–13 · mirage, 9 Sept →
406msFastest reaction time · 13–2 · inferno, 1 Aug →
13–2Biggest win · dust2, 9 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

cacheBest map · 70% over 10infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC2811–1739%-0.02
dust2A2012–860%-0.01
nukeA138–562%-0.02
infernoC114–736%-0.01
cacheS107–370%0.01
anubisC83–538%-0.01
ancientC73–443%-0.03
overpass—33–0100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,223Matches
51%Win rate
1.00Avg K/D
74.6ADR
36%Headshot %

Clutches & streaks

39%1v1 clutch win
13%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage8542%0.8914.2
Inferno6749%0.8414.2
Dust26461%0.9313.6
Ancient5956%0.9713.5
Nuke5860%0.9213.7
Anubis4452%0.9815.8
Cache1145%0.9013.9
Train825%0.8414.6

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.

11.5%Headshot accuracy
34.5%Accuracy (enemy spotted)
40.4%Spray accuracy
60.0%Counter-strafing
12.9°Preaim
564msReaction time
36.3%T opening success
38.3%CT opening success
0.60Enemies flashed / flash
4.8%Flash assists
9.24HE damage / grenade
14.22Flashes / 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 12.8619° — 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 11.4742% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Inferno

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke16–130.0210%11 Oct →
mirage14–16-0.038%11 Oct →
anubis10–130.009%11 Oct →
dust29–13-0.0217%9 Oct →
mirage12–160.0113%9 Oct →
cache13–80.0010%9 Oct →
dust213–20.146%9 Oct →
ancient13–80.006%9 Oct →
dust29–13-0.0422%5 Oct →
cache13–70.0213%2 Oct →
dust21–6-0.0210%26 Sept →
mirage13–50.0013%26 Sept →
nuke13–11-0.0110%18 Sept →
mirage17–19-0.0513%18 Sept →
anubis13–110.009%13 Sept →
mirage17–19-0.0310%13 Sept →
anubis4–13-0.026%11 Sept →
dust28–13-0.0613%11 Sept →
inferno3–13-0.0418%11 Sept →
mirage13–70.0911%11 Sept →
mirage2–13-0.0629%9 Sept →
inferno11–130.0610%6 Sept →
dust213–7-0.019%29 Aug →
anubis1–8-0.006%29 Aug →
mirage7–13-0.1111%29 Aug →
nuke5–13-0.128%28 Aug →
mirage4–13-0.1119%28 Aug →
inferno22–20-0.0413%28 Aug →
mirage6–13-0.083%28 Aug →
dust213–70.0310%28 Aug →
ancient6–13-0.0412%28 Aug →
mirage13–30.038%28 Aug →
cache13–11-0.019%28 Aug →
inferno11–13-0.0511%14 Aug →
anubis8–13-0.046%11 Aug →
inferno11–13-0.045%11 Aug →
cache13–11-0.017%11 Aug →
cache13–60.0215%11 Aug →
nuke10–13-0.0111%11 Aug →
ancient13–10-0.047%8 Aug →
nuke13–50.006%7 Aug →
cache11–130.088%2 Aug →
mirage12–16-0.0420%1 Aug →
nuke16–13-0.0212%1 Aug →
dust213–20.0111%1 Aug →
anubis6–13-0.058%1 Aug →
mirage13–5-0.0013%1 Aug →
inferno13–2-0.0013%1 Aug →
nuke13–20.0514%1 Aug →
dust26–130.0413%31 Jul →
mirage8–13-0.0313%31 Jul →
ancient8–130.0413%31 Jul →
cache10–13-0.0417%31 Jul →
ancient13–8-0.0711%31 Jul →
mirage12–16-0.0712%31 Jul →
inferno8–13-0.0226%31 Jul →
dust25–13-0.107%31 Jul →
dust213–9-0.0521%27 Jul →
mirage5–13-0.0311%27 Jul →
mirage13–50.0420%27 Jul →
dust213–8-0.0413%27 Jul →
inferno16–140.0217%27 Jul →
mirage13–8-0.0216%16 Jul →
dust213–40.0315%16 Jul →
ancient9–13-0.048%16 Jul →
cache13–110.0119%16 Jul →
nuke6–13-0.0211%16 Jul →
anubis13–80.0616%16 Jul →
mirage9–13-0.018%16 Jul →
nuke13–40.0117%14 Jul →
inferno13–30.045%14 Jul →
mirage11–130.065%11 Jul →
dust213–100.0011%11 Jul →
cache13–11-0.027%10 Jul →
dust213–10-0.039%10 Jul →
mirage13–7-0.066%10 Jul →
mirage14–16-0.0310%10 Jul →
nuke13–40.0111%10 Jul →
cache11–13-0.019%10 Jul →
dust23–13-0.0718%10 Jul →
dust213–9-0.037%8 Jul →
mirage13–80.068%3 Jul →
dust216–13-0.049%3 Jul →
mirage13–90.0115%3 Jul →
ancient5–13-0.0614%3 Jul →
inferno7–13-0.046%3 Jul →
nuke13–4-0.0212%3 Jul →
mirage3–13-0.0113%3 Jul →
inferno4–13-0.058%2 Jul →
overpass13–40.0221%2 Jul →
mirage13–20.0212%2 Jul →
dust213–160.0110%2 Jul →
mirage16–13-0.0115%2 Jul →
dust213–3-0.0025%2 Jul →
overpass13–70.0614%1 Jul →
overpass13–8-0.019%1 Jul →
nuke6–13-0.0720%17 Jun →
mirage8–13-0.0418%17 Jun →
nuke6–13-0.143%17 Jun →
anubis13–11-0.066%17 Jun →

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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