AppleSmasher

AppleSmasher — CS2 Stats

XK76561199835251593[U:1:1874985865]Steam profile ↗✓ No bans

431Tracked matches52%Win rate2025Tracked since
194Hours in CS
CSDB Rating3.8 LearningPositional Player
Premier CS Rating19,877Top 50% of 175,286 CSDB-tracked playersPurple band · top ~9% of ranked players (population est.)
CSDB Leaderboard#76556 of 220042 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 431 tracked matches. 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. 29 days played since 2 Apr 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: 19,877 +1,481 2 May16 Sept · 9 days played
18,39620,633peak 20,6332 May16 Sept
20,633Peak Premier in tracked matches
29Days played since 2026-04-02

Premier CS Rating

  • 756 below peak (20,633)
  • -756 over 90 days
  • Next: Pink band at 20,000 123 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-15
  • Blue band first seen 2026-09-15

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.

Compare periods

Last 7 days vs previous 7

No matches recorded between 9 Sep 2026 and 17 Sep 2026.

Measured 9 Sep 202617 Sep 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=34,112), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate41.9%44.3%47.0%5.0% short
Shot accuracy0.0%11.8%13.0%13.0% short
Kill/death ratio0.991.031.080.09 short
Match win rate52.5%45.2%46.7%above

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGAppleSmasherPREMIER19,877 · Purple bandcsdb.gg/stats

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Performance scores

Aim33
Positioning48
Utility29

0–100 skill scores via Leetify.

Recent form

COLD494110Last 10049%Win rateLLWLLLTLLT

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −3.5pp headshot accuracy · +29ms reaction

Win rate down 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

  • 14 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 616ms

Last 10

  • 172 · 10% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 692ms

Last 20

  • 5114 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 678ms

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 (+1.8 against its own average).

Aim3.3
Utility2.9
Positioning4.8
Opening Duels1.3

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 74% 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. 679ms 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

Aim3.3
Positioning4.8
Utility2.9
Mechanics5.2
Opening Duels0.9
Win Impact5.7

Composite 3.8/10 (Learning), 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 rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time676ms+6ms
first ⅓ avg 670ms → last ⅓ avg 676ms
Headshot accuracy13.6%−0.7%
first ⅓ avg 14.4% → last ⅓ avg 13.6%

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

0.20Best match rating · 13–2 · vertigo, 12 Apr
26%Best headshot accuracy · 7–0 · dust2, 26 May
516msFastest reaction time · 4–13 · dust2, 8 Jul
13–2Biggest win · inferno, 6 Jun

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
36In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 82% over 11anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C2391439%-0.01
mirageC1881044%-0.02
cacheC135838%-0.01
infernoS119282%0.00
vertigoB84450%-0.00
overpassS75271%-0.01
anubisD62433%-0.00
nukeC52340%0.01
train43175%0.02
ancient21150%-0.03
italy1010%0.01
warden1010%0.03
stronghold110100%0.01

Across the last 100 tracked matches.

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

Lifetime stats

8,088Lifetime kills
0.99K/D
537Matches
52.5%Match win rate · Top 10% of Purple band
41.9%Headshot %
0.0%Shot accuracy
1,096MVPs
194Hours (in match)
803Bombs planted
120Bombs defused

Most-used weapons

Lifetime map wins

1,420dust2
681inferno
562nuke
415vertigo
349train
128office
18italy

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.

13.3%Headshot accuracy
27.3%Accuracy (enemy spotted)
28.1%Spray accuracy
73.5%Counter-strafing
9.3°Preaim
679msReaction time
35.2%T opening success
31.7%CT opening success
0.37Enemies flashed / flash
5.0%Flash assists
4.87HE damage / grenade
5.59Flashes / 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. 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 13.3258% — below the 15% mark we flag

    Aim Training
  2. 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 0.3656 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 35.2433% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
overpass8–13-0.028%8 Jul
dust24–13-0.068%8 Jul
dust213–50.1120%8 Jul
cache8–13-0.0710%8 Jul
inferno9–130.0713%8 Jul
dust26–13-0.0811%23 Jun
dust212–120.0212%23 Jun
mirage10–13-0.0312%23 Jun
dust23–13-0.085%23 Jun
mirage15–15-0.0210%23 Jun
cache13–9-0.0124%18 Jun
train13–60.1415%17 Jun
train7–13-0.0010%17 Jun
mirage16–13-0.0511%16 Jun
mirage11–13-0.0116%12 Jun
italy8–130.015%10 Jun
cache12–12-0.0513%10 Jun
mirage12–12-0.0413%10 Jun
anubis11–13-0.0217%6 Jun
overpass13–3-0.0018%6 Jun
mirage10–13-0.099%6 Jun
inferno13–20.0310%6 Jun
inferno13–40.0125%6 Jun
dust213–40.0817%6 Jun
inferno13–9-0.084%5 Jun
inferno13–90.0319%5 Jun
mirage13–20.014%5 Jun
overpass13–110.0124%5 Jun
dust213–110.0315%5 Jun
dust212–12-0.0220%5 Jun
vertigo10–13-0.1019%3 Jun
vertigo13–10-0.0014%3 Jun
vertigo13–10-0.0020%3 Jun
anubis12–120.0110%30 May
anubis13–8-0.007%30 May
dust215–150.0013%29 May
nuke9–13-0.046%29 May
dust27–00.0826%26 May
nuke10–13-0.028%26 May
dust210–13-0.0315%26 May
dust26–13-0.0719%26 May
dust213–100.0214%26 May
mirage7–13-0.0517%26 May
mirage6–13-0.062%26 May
anubis10–13-0.0510%21 May
ancient13–90.0121%21 May
cache8–130.0713%21 May
dust28–13-0.0410%21 May
dust212–12-0.0215%13 May
warden5–130.0310%13 May
cache5–13-0.0613%8 May
cache12–12-0.0115%8 May
vertigo11–13-0.0415%6 May
inferno13–30.0026%6 May
cache9–13-0.039%6 May
cache13–10-0.0215%6 May
mirage13–70.0217%5 May
dust213–8-0.0323%5 May
overpass16–13-0.0114%2 May
mirage13–8-0.059%2 May
dust26–13-0.0317%2 May
mirage13–90.0311%2 May
mirage9–130.0816%1 May
cache13–100.0212%1 May
cache6–13-0.0125%1 May
cache13–10-0.059%29 Apr
cache13–30.0211%29 Apr
cache8–130.0516%29 Apr
mirage8–13-0.0417%26 Apr
vertigo12–12-0.049%25 Apr
nuke7–130.049%25 Apr
overpass11–13-0.0113%24 Apr
inferno13–50.0318%24 Apr
nuke13–60.0520%24 Apr
inferno10–130.0012%24 Apr
inferno13–60.0111%22 Apr
train13–6-0.080%22 Apr
mirage13–8-0.0214%21 Apr
vertigo13–90.0412%21 Apr
mirage6–10.0121%21 Apr
inferno13–5-0.0619%21 Apr
dust210–130.0512%21 Apr
anubis6–13-0.027%21 Apr
overpass13–2-0.0612%21 Apr
dust214–16-0.0912%13 Apr
mirage14–16-0.0126%13 Apr
train13–40.0213%12 Apr
stronghold13–60.0116%12 Apr
nuke13–60.0419%12 Apr
dust213–60.0012%12 Apr
mirage13–40.0417%12 Apr
ancient1–4-0.078%12 Apr
inferno13–80.0110%12 Apr
vertigo13–20.2016%12 Apr
dust216–14-0.0220%2 Apr
overpass13–60.0321%2 Apr
dust213–70.0419%2 Apr
dust28–13-0.0216%2 Apr
vertigo8–13-0.078%2 Apr
anubis13–60.0518%2 Apr

Match data via Leetify.

Recent teammates

Milestones

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