ExponentNote348

ExponentNote348 — CS2 Stats

SE76561197990892579[U:1:30626851]Steam profile ↗✓ No bans

1,621Tracked matches55%Win rate2020Tracked since
2,723Hours in CS
CSDB Rating6.7 SolidSupport
Premier CS Rating21,598Top 50% of 208,731 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#60720 of 255833 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (49 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,621 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,598 +1,693 1 Apr – 2 Sept · 30 days played
19,32321,598peak 21,5981 Apr2 Sept
21,598Peak Premier in tracked matches
41Days played since 2026-04-01

Premier CS Rating

  • At peak — 21,598
  • +1,033 over 90 days
  • Next: Red band at 25,000 — 3,402 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

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

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianRed band medianvs Red band
Headshot rate44.6%46.9%49.3%4.7% short
Shot accuracy19.0%13.0%13.4%above
Kill/death ratio1.261.081.12above
Match win rate49.3%46.7%48.5%meets

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGExponentNote348PREMIER21,598 · Pink bandcsdb.gg/stats

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Performance scores

Aim70
Positioning61
Utility78

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateLWWWLWWLTW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +2.6pp headshot accuracy · +21ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 535ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 551ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 541ms

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 (+3.3 against its own average).

Aim7.0
Utility7.8
Positioning6.1
Opening Duels4.0
Clutch0.0

High utility contribution

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 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

Reaction time. 558ms 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

Aim7.0
Positioning6.1
Utility7.8
Mechanics6.5
Opening Duels3.9
Win Impact6.7

Composite 6.7/10 (Solid), 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 rating0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time556ms−4ms
first ⅓ avg 559ms → last ⅓ avg 556ms
Headshot accuracy21.3%+2.1%
first ⅓ avg 19.3% → last ⅓ avg 21.3%

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

0.13Best match rating · 10–3 · overpass, 18 May →
43%Best headshot accuracy · 5–13 · ancient, 2 Apr →
406msFastest reaction time · 13–8 · inferno, 18 May →
13–0Biggest win · mirage, 25 Apr →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 67% over 21anubisWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
infernoS2114–767%0.00
anubisD175–1229%-0.01
ancientA159–660%-0.01
nukeB136–746%-0.02
mirageC135–838%-0.01
cacheA127–558%0.03
overpassA74–357%-0.00
boulder—10–10%-0.01
dust2—11–0100%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

154,825Lifetime kills
1.26K/D · Top 25% of Pink band
21,654Matches
49.3%Match win rate · Top 50% of Pink band
44.6%Headshot %
19.0%Shot accuracy · Top 10% of Pink band
17,664MVPs
2,723Hours (in match)
7,181Bombs planted
3,052Bombs defused

Most-used weapons

AK-4740,767
AWP19,693
SSG 084,628
Molotov4,054
P2503,381

Lifetime map wins

11,736inferno
4,719dust2
4,494nuke
4,201train
1,649vertigo
1,020cbble
1,001aztec
555italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

255Matches
53%Win rate
1.15Avg K/D
79.0ADR
41%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Overpass333%1.1320.3
Nuke1100%1.6016.0
Anubis10%0.7014.0
Ancient1100%1.0715.0
Vertigo10%0.4611.0
Inferno1100%1.0617.0

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.

21.1%Headshot accuracy
33.6%Accuracy (enemy spotted)
31.0%Spray accuracy
79.2%Counter-strafing
9.7°Preaim
558msReaction time
51.2%T opening success
39.6%CT opening success
0.59Enemies flashed / flash
10.2%Flash assists
11.70HE damage / grenade
13.26Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.5722% — below the 40% mark we flag

Spend your practice time on Anubis

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 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
boulder9–13-0.0121%1 Aug →
inferno13–8-0.0312%1 Aug →
nuke13–80.0123%25 Jul →
inferno13–80.0420%25 Jul →
anubis4–130.0317%24 Jul →
inferno13–90.0025%24 Jul →
ancient13–7-0.0324%17 Jul →
cache11–130.1227%17 Jul →
mirage15–15-0.0219%15 Jul →
inferno16–130.0525%15 Jul →
cache4–13-0.0519%13 Jul →
nuke13–100.0115%13 Jul →
inferno13–90.0129%13 Jul →
nuke7–13-0.0424%12 Jul →
cache13–100.0334%12 Jul →
nuke2–13-0.079%12 Jul →
nuke11–13-0.0113%11 Jul →
inferno13–5-0.0216%11 Jul →
anubis5–13-0.039%11 Jul →
cache13–40.0518%11 Jul →
nuke13–50.0118%1 Jul →
nuke13–50.0221%6 Jun →
anubis10–130.0214%6 Jun →
anubis2–130.0016%3 Jun →
inferno13–110.0220%3 Jun →
anubis6–13-0.0230%30 May →
mirage7–13-0.1222%20 May →
overpass10–30.1336%18 May →
nuke8–13-0.0617%18 May →
inferno13–80.0537%18 May →
mirage15–15-0.0223%17 May →
ancient13–60.0924%17 May →
ancient13–40.0227%17 May →
mirage9–13-0.0015%15 May →
cache13–90.0110%15 May →
cache6–130.0218%13 May →
inferno10–13-0.0212%13 May →
inferno16–130.0213%13 May →
cache2–13-0.0510%12 May →
anubis8–13-0.0921%10 May →
inferno11–13-0.0315%10 May →
mirage11–130.0029%10 May →
cache13–100.0220%5 May →
mirage13–80.0312%4 May →
ancient13–10-0.0433%4 May →
anubis6–13-0.0726%3 May →
ancient13–40.048%3 May →
cache13–40.0438%3 May →
cache12–120.0015%2 May →
cache7–00.1216%1 May →
cache13–100.0214%1 May →
anubis11–13-0.0515%27 Apr →
anubis12–16-0.0215%26 Apr →
nuke13–90.0123%26 Apr →
overpass7–13-0.0218%26 Apr →
mirage8–13-0.0012%25 Apr →
ancient11–130.0829%25 Apr →
mirage13–90.0220%25 Apr →
inferno13–8-0.038%25 Apr →
mirage13–00.1233%25 Apr →
mirage13–9-0.0011%23 Apr →
ancient2–13-0.0510%23 Apr →
anubis13–20.0916%23 Apr →
anubis13–50.0633%21 Apr →
ancient13–10-0.0641%21 Apr →
inferno13–2-0.0317%21 Apr →
overpass2–13-0.0824%19 Apr →
inferno8–130.0228%19 Apr →
nuke11–130.0314%19 Apr →
anubis5–13-0.0523%19 Apr →
inferno10–13-0.0339%17 Apr →
anubis13–16-0.0113%14 Apr →
ancient7–13-0.0630%14 Apr →
inferno13–110.0818%13 Apr →
overpass7–13-0.0111%13 Apr →
inferno15–150.0323%13 Apr →
ancient13–9-0.0120%12 Apr →
nuke6–13-0.0513%12 Apr →
anubis13–90.0718%11 Apr →
ancient13–2-0.068%11 Apr →
inferno4–13-0.0413%8 Apr →
ancient6–13-0.089%8 Apr →
nuke13–10-0.0313%8 Apr →
overpass13–110.0219%7 Apr →
mirage13–7-0.0237%7 Apr →
ancient13–70.0322%5 Apr →
inferno6–13-0.0531%4 Apr →
mirage5–13-0.0321%4 Apr →
anubis13–70.0024%4 Apr →
ancient11–13-0.0314%4 Apr →
inferno13–100.0116%2 Apr →
overpass13–10-0.049%2 Apr →
mirage15–15-0.0315%2 Apr →
anubis6–13-0.0124%2 Apr →
inferno13–7-0.055%2 Apr →
ancient5–13-0.0443%2 Apr →
nuke7–13-0.0411%2 Apr →
overpass13–9-0.0314%1 Apr →
anubis13–5-0.0418%1 Apr →
dust213–7-0.0420%1 Apr →

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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