Apple

Apple — CS2 Stats

FI76561198098946870[U:1:138681142]Steam profile ↗✓ No bans

451Tracked matches53%Win rate2020Tracked since
2,338Hours in CS3Hrs last 2 wks
CSDB Rating5.6 SolidSupport
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Aug 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

+26Tracked matches · now 451
+5.0ppWin rate · 48.3% → 53.3%

Rating over time

Premier CS Rating: 23,671 +243 19 Apr – 2 Jul · 6 days played
22,63524,078peak 24,07819 Apr2 Jul
24,078Peak Premier in tracked matches
38Days played since 2026-04-15

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches17——
Win rate53%——
K/D0.98——
Headshot %60%——

Measured 12 Sep 2026 → 13 Oct 2026; no observation near 60 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 Level 1 among CSDB-tracked players (n=2,269), 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 1 medianLevel 2 medianvs Level 2
Headshot rate42.9%40.9%41.3%above
Shot accuracy17.0%14.2%12.7%above
Kill/death ratio0.980.950.95above
Match win rate47.3%42.1%42.6%above

Across every metric we can compare, this profile already matches the typical Level 2 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGAppleFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.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

Aim75
Positioning40
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY53–39–8Last 10053%Win rateWWLWWWLTWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +8.9pp headshot accuracy · +195ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 741ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 776ms

Last 20

  • 12–5–3 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 679ms

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 (+1.1 against its own average).

Aim7.5
Utility4.5
Positioning4.0
Opening Duels1.8

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

ZywOo

Plays most like ZywOo 91% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Reaction time. 617ms 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

Aim7.5
Positioning4.0
Utility4.5
Mechanics7.8
Opening Duels1.1
Win Impact6.1

Composite 5.6/10 (Solid), 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-0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg -0.00
Reaction time688ms+35ms
first ⅓ avg 653ms → last ⅓ avg 688ms
Headshot accuracy21.4%+2.1%
first ⅓ avg 19.3% → last ⅓ avg 21.4%

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

0.28Best match rating · 9–6 · poseidon, 29 May →
75%Best headshot accuracy · 3–9 · nuke, 6 Oct →
234msFastest reaction time · 0–13 · nuke, 29 Jun →
13–1Biggest win · mirage, 26 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
6–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 83% over 6infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
nukeA4727–2057%0.01
mirageC187–1139%-0.00
infernoD93–633%-0.03
cacheS75–271%0.00
poseidonA74–357%0.09
ancientS65–183%0.01
dust2—41–325%-0.03
vertigo—11–0100%0.08
overpass—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,033Lifetime kills
0.98K/D · Top 50% of Level 1 players
4,544Matches
47.3%Match win rate · Top 25% of Level 1 players
42.9%Headshot % · Top 50% of Level 1 players
17.0%Shot accuracy · Top 25% of Level 1 players
11,952MVPs
1,436Hours (in match)
5,437Bombs planted
1,608Bombs defused

Most-used weapons

AK-4717,756
AWP9,911
P902,163
SSG 081,925
FAMAS1,835

Lifetime map wins

6,792lake
6,318inferno
4,634nuke
3,564dust2
1,777train
385safehouse
330vertigo
294bank

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.

16.9%Headshot accuracy
37.0%Accuracy (enemy spotted)
35.9%Spray accuracy
85.0%Counter-strafing
8.7°Preaim
617msReaction time
29.7%T opening success
39.0%CT opening success
0.58Enemies flashed / flash
11.4%Flash assists
10.84HE damage / grenade
3.50Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.498 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 29.7362% — below the 40% mark we flag

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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–10.0439%12 Oct →
nuke9–5-0.0015%12 Oct →
nuke4–9-0.2023%12 Oct →
nuke9–50.1016%12 Oct →
nuke9–10.2125%12 Oct →
nuke9–3-0.040%8 Oct →
nuke5–9-0.0118%8 Oct →
inferno8–80.0226%8 Oct →
nuke9–5-0.0540%6 Oct →
nuke3–9-0.1875%6 Oct →
mirage8–2-0.0318%29 Sept →
ancient13–20.036%18 Sept →
mirage13–40.0820%17 Sept →
nuke6–9-0.0423%16 Sept →
nuke8–80.0925%16 Sept →
nuke9–60.0321%10 Sept →
nuke2–9-0.0815%10 Sept →
nuke9–40.0524%10 Sept →
nuke9–60.017%10 Sept →
nuke8–8-0.0530%10 Sept →
inferno1–9-0.3115%10 Sept →
dust213–70.0622%10 Sept →
mirage7–13-0.0221%10 Sept →
nuke9–10.1814%2 Sept →
mirage1–13-0.0850%2 Sept →
ancient13–5-0.027%2 Sept →
nuke9–40.0512%22 Aug →
nuke3–13-0.0317%28 Jul →
mirage13–50.0513%28 Jul →
nuke9–5-0.1219%15 Jul →
nuke9–20.1023%15 Jul →
nuke9–30.0513%15 Jul →
mirage8–130.0113%13 Jul →
nuke3–9-0.0542%13 Jul →
nuke9–60.0624%13 Jul →
mirage13–4-0.0218%9 Jul →
ancient13–20.028%9 Jul →
cache7–0-0.0225%9 Jul →
dust25–13-0.0919%2 Jul →
nuke10–13-0.0416%2 Jul →
inferno13–7-0.0317%30 Jun →
nuke13–4-0.0321%29 Jun →
nuke0–13-0.070%29 Jun →
nuke16–120.0515%22 Jun →
dust22–13-0.0421%22 Jun →
mirage5–13-0.0523%16 Jun →
mirage13–90.0521%16 Jun →
mirage0–50.0150%16 Jun →
poseidon6–90.0130%8 Jun →
poseidon5–9-0.0711%8 Jun →
mirage6–13-0.0611%3 Jun →
ancient13–6-0.0120%3 Jun →
ancient0–6-0.0122%31 May →
mirage4–13-0.0710%31 May →
ancient13–50.0410%29 May →
poseidon9–50.1726%29 May →
poseidon3–9-0.1338%29 May →
poseidon9–70.0825%29 May →
poseidon9–60.2835%29 May →
nuke6–9-0.0617%29 May →
poseidon9–50.2419%28 May →
inferno1–9-0.2615%28 May →
nuke5–90.0115%28 May →
nuke9–7-0.0415%23 May →
nuke7–9-0.0416%23 May →
nuke6–9-0.079%23 May →
nuke9–70.0714%20 May →
vertigo9–40.089%20 May →
nuke9–50.0114%20 May →
inferno9–30.1417%20 May →
cache13–60.0414%14 May →
mirage9–130.0113%14 May →
cache13–50.0522%12 May →
nuke9–40.0615%11 May →
dust27–13-0.0514%11 May →
cache13–110.0216%11 May →
nuke9–20.035%9 May →
nuke9–30.1428%9 May →
nuke9–40.0312%9 May →
nuke7–9-0.0520%9 May →
overpass6–9-0.0833%6 May →
nuke9–40.1221%6 May →
inferno8–80.0529%6 May →
mirage12–12-0.0620%6 May →
nuke8–80.0329%4 May →
cache13–11-0.0313%4 May →
cache8–13-0.0624%4 May →
nuke6–130.0720%29 Apr →
cache11–13-0.0015%29 Apr →
nuke6–13-0.0214%28 Apr →
mirage12–120.0333%28 Apr →
nuke13–80.0318%26 Apr →
mirage13–10.1917%26 Apr →
inferno13–70.0828%26 Apr →
mirage9–13-0.0422%19 Apr →
mirage13–3-0.0330%16 Apr →
nuke9–70.0119%15 Apr →
inferno6–90.0214%15 Apr →
inferno6–90.0524%15 Apr →
nuke12–12-0.0019%15 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.