Jackie Daytona

Jackie Daytona — CS2 Stats

US76561199085724645[U:1:1125458917]Steam profile ↗✓ No bans

683Tracked matches47%Win rate2025Tracked since
591Hours in CS
CSDB Rating6.1 SolidPositional Player
Premier CS Rating23,533Top 25% of 185,711 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)
CSDB Leaderboard#34153 of 231737 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

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

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. 36 days played since 4 Jul 2026. 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

Premier CS Rating: 23,533 +2,401 4 Jul19 Sept · 31 days played
21,13225,002peak 25,0024 Jul19 Sept
25,104Peak Premier in tracked matches
36Days played since 2026-07-04

Premier CS Rating

  • 1,469 below peak (25,002)
  • -1,181 over 30 days · declining
  • +2,401 over 90 days
  • Next: Red band at 25,000 1,467 to go
  • Reached: Red band · Pink band · Purple band · 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=36,987), 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 rate59.3%46.9%49.2%above
Shot accuracy0.1%13.0%13.4%13.2% short
Kill/death ratio1.061.081.120.07 short
Match win rate49.6%46.7%48.5%above

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGJackie DaytonaPREMIER23,533 · Pink bandcsdb.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

Aim81
Positioning58
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY51427Last 10051%Win rateWLWWWLWLLL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.2pp headshot accuracy · +16ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 555ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 526ms

Last 20

  • 812 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 518ms

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 (+1.4 against its own average).

Aim8.1
Utility3.0
Positioning5.8
Opening Duels4.5

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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 552ms 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

Aim8.1
Positioning5.8
Utility3.0
Mechanics6.7
Opening Duels5.1
Win Impact3.9

Composite 6.1/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time575ms−27ms
first ⅓ avg 602ms → last ⅓ avg 575ms
Headshot accuracy27.2%+2.4%
first ⅓ avg 24.8% → last ⅓ avg 27.2%

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 · 13–8 · anubis, 17 Jul
46%Best headshot accuracy · 8–13 · inferno, 28 Aug
406msFastest reaction time · 5–13 · anubis, 1 Sept
13–1Biggest win · anubis, 14 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
48In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 80% over 10ancientWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
cacheB189950%0.02
mirageC1761135%-0.00
dust2A1710759%0.01
ancientD1551033%0.02
anubisS129375%0.04
infernoC114736%-0.00
nukeS108280%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,654Lifetime kills
1.06K/D
794Matches
49.6%Match win rate · Top 50% of Pink band
59.3%Headshot % · Top 10% of Pink band
0.1%Shot accuracy
1,672MVPs
591Hours (in match)
358Bombs planted
185Bombs defused

Most-used weapons

Lifetime map wins

1,174nuke
1,072dust2
1,039inferno
195train
32vertigo
14ar_shoots
4ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

27.1%Headshot accuracy
34.6%Accuracy (enemy spotted)
35.5%Spray accuracy
80.0%Counter-strafing
9.8°Preaim
552msReaction time
46.4%T opening success
54.1%CT opening success
0.32Enemies flashed / flash
6.4%Flash assists
8.05HE damage / grenade
1.60Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3182 — below the 0.5 mark we flag

    Grenade Lineups
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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–30.0114%19 Sept
mirage8–130.0125%18 Sept
mirage13–100.0118%18 Sept
anubis13–110.0228%11 Sept
cache13–70.0628%11 Sept
mirage4–13-0.0136%11 Sept
ancient13–10-0.0133%11 Sept
mirage8–13-0.0819%11 Sept
dust24–13-0.0326%4 Sept
inferno11–130.0535%2 Sept
dust213–80.0526%2 Sept
anubis5–130.0331%1 Sept
nuke13–90.0828%1 Sept
inferno8–13-0.0446%28 Aug
inferno11–130.0129%28 Aug
cache4–13-0.0128%28 Aug
ancient10–13-0.0228%28 Aug
nuke13–70.0418%21 Aug
mirage9–13-0.0314%15 Aug
ancient11–130.0026%15 Aug
anubis13–10.0527%14 Aug
dust213–10-0.0319%14 Aug
inferno13–8-0.0128%14 Aug
cache2–13-0.0621%14 Aug
cache0–30.0538%14 Aug
inferno10–13-0.0140%10 Aug
cache10–130.0229%9 Aug
nuke16–130.0026%9 Aug
mirage13–10-0.0328%7 Aug
dust213–60.0225%7 Aug
mirage13–50.0429%7 Aug
dust213–80.0133%7 Aug
mirage7–13-0.0117%7 Aug
cache13–9-0.0145%7 Aug
mirage15–15-0.0419%7 Aug
nuke13–8-0.0529%7 Aug
ancient5–13-0.0126%7 Aug
nuke13–10-0.0823%7 Aug
anubis13–100.0423%3 Aug
anubis15–15-0.0329%2 Aug
ancient10–13-0.0212%2 Aug
ancient8–130.0734%1 Aug
cache6–130.0240%1 Aug
dust213–80.0427%31 Jul
nuke13–80.0232%31 Jul
mirage13–60.0218%31 Jul
cache13–90.0117%30 Jul
ancient10–130.0732%29 Jul
mirage13–20.0729%29 Jul
ancient15–150.0133%26 Jul
anubis13–60.0925%26 Jul
mirage13–160.0130%26 Jul
ancient15–150.0437%26 Jul
cache11–130.0231%25 Jul
dust213–11-0.0037%25 Jul
ancient13–100.0529%24 Jul
inferno13–30.0432%23 Jul
anubis13–80.0730%23 Jul
nuke7–13-0.0342%23 Jul
inferno2–13-0.0619%22 Jul
mirage3–13-0.0517%22 Jul
dust210–130.0333%21 Jul
inferno13–30.0544%20 Jul
mirage11–13-0.0616%19 Jul
inferno4–13-0.0231%19 Jul
dust215–15-0.0222%19 Jul
anubis13–20.0127%19 Jul
nuke13–3-0.0116%18 Jul
inferno1–9-0.0726%18 Jul
mirage7–130.1129%18 Jul
dust213–16-0.0120%17 Jul
anubis13–80.1525%17 Jul
cache13–110.0823%17 Jul
nuke13–3-0.0226%17 Jul
cache11–13-0.0512%17 Jul
ancient10–13-0.0329%16 Jul
nuke15–15-0.0327%16 Jul
cache13–50.0518%16 Jul
anubis13–7-0.027%16 Jul
dust213–30.0332%16 Jul
cache13–10.0226%16 Jul
dust24–130.0736%16 Jul
cache15–150.0823%12 Jul
ancient8–13-0.0235%12 Jul
cache13–60.0125%11 Jul
cache11–130.0623%11 Jul
dust213–7-0.0329%11 Jul
cache13–3-0.0224%11 Jul
cache13–50.0535%11 Jul
mirage6–13-0.0526%10 Jul
dust25–13-0.0417%10 Jul
dust213–100.0324%9 Jul
inferno13–20.0022%9 Jul
mirage13–90.0320%9 Jul
ancient13–100.0437%5 Jul
dust216–14-0.0220%4 Jul
anubis13–80.1115%4 Jul
anubis11–130.0023%4 Jul
ancient13–20.0940%4 Jul
dust28–130.0626%4 Jul

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →