cookie :3

cookie :3 — CS2 Stats

76561199093615240[U:1:1133349512]Steam profile ↗✓ No bans

1,752Tracked matches42%Win rate2023Tracked since
1,692Hours in CS1Hrs last 2 wks
CSDB Rating1.8 LearningPositional Player
FaceitLevel 2 · 631 ELOTop 97.9% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Aug 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 631 → 631
+17Tracked matches · now 1,752
+1.6ppWin rate · 40.7% → 42.3%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 40 days played since 27 Dec 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

631Highest Faceit ELO seen on CSDB
40Days played since 2025-12-27

Faceit ELO

  • At peak — 631
  • Next: Level 3 at 751 120 to go
  • Reached: Level 2
  • Level 2 first seen 2026-08-28

CSDB’s own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,017), 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 playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate34.8%41.3%41.9%7.1% short
Shot accuracy3.2%12.6%12.2%9.0% short
Kill/death ratio0.580.960.980.40 short
Match win rate39.5%42.5%43.3%3.8% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGcookie :3FACEITLevel 2 · 631 ELOSTANDINGTop 97.9% of rankedPEAK ELO631csdb.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

Aim12
Positioning31
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY394813Last 10039%Win rateLLWLLWLWTW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +4.0pp headshot accuracy · −34ms 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

  • 14 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 15%
  • Avg reaction 630ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 14%
  • Avg reaction 672ms

Last 20

  • 794 · 35% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 12%
  • Avg reaction 689ms

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 PlayerPositioning stands above the rest of this profile (+1.2 against its own average).

Aim1.2
Utility2.1
Positioning3.1
Opening Duels0.0
Clutch2.6

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 67% 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. 723ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim1.2
Positioning3.1
Utility2.1
Mechanics3.3
Opening Duels0.0
Win Impact2.4

Composite 1.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.07+0.00
first ⅓ avg -0.07 → last ⅓ avg -0.07
Reaction time708ms−29ms
first ⅓ avg 737ms → last ⅓ avg 708ms
Headshot accuracy11.4%−1.1%
first ⅓ avg 12.5% → last ⅓ avg 11.4%

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

0.12Best match rating · 9–3 · nuke, 15 Aug
50%Best headshot accuracy · 9–3 · nuke, 10 Jul
320msFastest reaction time · 6–9 · nuke, 9 Sept
11–0Biggest win · nuke, 29 Jan

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
811In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 50% over 14cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC30111937%-0.10
nukeB26121446%-0.07
dust2B147750%-0.07
cacheD5050%-0.06
vertigo41325%-0.05
mirage4040%-0.09
poseidon330100%0.05
ancient2020%-0.05
debris21150%-0.05
office21150%-0.09
alpine21150%-0.08
rooftop21150%-0.13
eldorado1010%-0.09
train110100%-0.03
warden1010%-0.08
sanctum1010%-0.11

Across the last 100 tracked matches.

Lifetime stats

17,618Lifetime kills
0.58K/D
2,126Matches
39.5%Match win rate
34.8%Headshot %
3.2%Shot accuracy
3,065MVPs
537Hours (in match)
2,606Bombs planted
231Bombs defused

Most-used weapons

Lifetime map wins

3,234inferno
2,351dust2
2,108nuke
2,015vertigo
535train
44lake
29office
12bank

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

Faceit stats

Combat

20Matches
30%Win rate
0.46Avg K/D
56.0ADR
38%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient425%0.6012.3
Inferno450%0.5712.3
Mirage2100%0.5611.0
Vertigo10%0.439.0
Dust210%0.478.0
Nuke1100%0.5910.0

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.

11.7%Headshot accuracy
29.6%Accuracy (enemy spotted)
28.7%Spray accuracy
64.8%Counter-strafing
15.2°Preaim
723msReaction time
23.9%T opening success
30.1%CT opening success
0.53Enemies flashed / flash
8.3%Flash assists
3.51HE damage / grenade
1.39Flashes / 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 15.1834° — 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 11.7042% — below the 15% mark we flag

    Aim Training
  3. 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 723.108ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Cache

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno5–9-0.1313%9 Sept
nuke6–9-0.0313%9 Sept
inferno9–7-0.0121%9 Sept
nuke2–13-0.1317%3 Sept
cache5–13-0.0713%3 Sept
inferno13–7-0.0916%3 Sept
vertigo1–13-0.0330%3 Sept
dust213–5-0.095%2 Sept
mirage12–12-0.096%2 Sept
inferno13–11-0.086%2 Sept
cache12–12-0.056%2 Sept
dust213–11-0.0414%2 Sept
dust26–13-0.119%29 Aug
nuke3–13-0.1315%29 Aug
mirage5–13-0.1011%29 Aug
nuke12–12-0.0410%29 Aug
vertigo13–4-0.073%29 Aug
ancient6–13-0.0415%26 Aug
dust213–6-0.037%26 Aug
cache12–12-0.107%26 Aug
inferno7–9-0.1510%26 Aug
dust211–13-0.0611%23 Aug
inferno8–8-0.0813%22 Aug
inferno8–8-0.0619%22 Aug
nuke9–60.030%22 Aug
nuke9–7-0.007%21 Aug
inferno9–30.099%21 Aug
inferno7–9-0.083%17 Aug
dust213–5-0.0424%16 Aug
poseidon9–30.078%16 Aug
nuke8–8-0.1510%16 Aug
inferno9–7-0.147%16 Aug
inferno8–8-0.1819%15 Aug
nuke9–30.1210%15 Aug
inferno6–9-0.170%15 Aug
debris9–4-0.0619%13 Aug
nuke8–8-0.0719%13 Aug
dust213–7-0.1019%6 Aug
nuke9–6-0.2014%14 Jul
inferno0–9-0.2227%14 Jul
nuke9–3-0.0450%10 Jul
eldorado7–9-0.093%10 Jul
debris8–8-0.0426%10 Jul
nuke8–13-0.068%4 Jul
cache9–13-0.109%4 Jul
dust22–13-0.127%4 Jul
train13–11-0.0320%21 Jun
inferno8–8-0.190%16 Jun
inferno9–6-0.0910%16 Jun
inferno1–9-0.1733%3 Jun
nuke13–9-0.0515%3 Jun
nuke9–5-0.0919%3 Jun
inferno9–5-0.0812%3 Jun
cache6–130.0116%30 May
mirage10–13-0.115%30 May
inferno7–9-0.2211%28 Apr
nuke4–9-0.174%28 Apr
inferno6–9-0.078%28 Apr
nuke10–13-0.0116%25 Apr
nuke13–60.0114%19 Apr
mirage5–10-0.078%19 Apr
warden12–12-0.0813%25 Mar
office13–9-0.0915%23 Mar
inferno6–9-0.0921%14 Mar
nuke1–9-0.260%14 Mar
nuke9–6-0.0450%11 Mar
nuke9–5-0.0310%11 Mar
inferno6–9-0.0629%11 Mar
nuke11–13-0.075%10 Mar
dust213–9-0.0719%1 Mar
inferno5–9-0.2010%25 Feb
inferno9–40.0226%25 Feb
inferno4–9-0.1724%25 Feb
nuke0–9-0.290%25 Feb
vertigo11–13-0.0611%15 Feb
office11–13-0.109%13 Feb
sanctum4–9-0.116%29 Jan
nuke11–00.0423%29 Jan
dust212–12-0.0615%29 Jan
vertigo10–13-0.0415%29 Jan
inferno1–9-0.190%28 Jan
poseidon9–20.0621%28 Jan
inferno9–70.0318%26 Jan
poseidon9–60.022%26 Jan
alpine13–8-0.087%23 Jan
alpine11–13-0.078%22 Jan
nuke8–13-0.077%21 Jan
inferno13–11-0.066%21 Jan
dust211–13-0.0614%21 Jan
dust25–13-0.055%1 Jan
dust28–13-0.0618%1 Jan
ancient8–13-0.0722%1 Jan
nuke7–9-0.0215%1 Jan
inferno5–9-0.1720%1 Jan
rooftop9–5-0.0919%27 Dec
inferno9–60.045%27 Dec
nuke9–3-0.0511%27 Dec
rooftop3–9-0.189%27 Dec
inferno5–9-0.105%27 Dec
dust213–10-0.028%27 Dec

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 →