ApE

ApE — CS2 Stats

FI76561198292970755[U:1:332705027]Steam profile ↗✓ No bans

909Tracked matches50%Win rate2020Tracked since
2,579Hours in CS0Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,833 → 1,833
+2Tracked matches · now 909
+3.6ppWin rate · 46.4% → 50.0%

Rating over time

Premier CS Rating: 25,634 +3,586 24 Jun – 12 Aug · 14 days played
21,92625,899peak 25,89924 Jun12 Aug
25,899Peak Premier in tracked matches
1,833Highest Faceit ELO seen on CSDB
50Days played since 2026-06-23

Faceit ELO

  • At peak — 1,833
  • Next: Level 10 at 2,001 — 168 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-18
  • Level 8 first seen 2026-09-18

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 30 days vs previous 30

MetricLast 30Previous 30Change
Matches3——
Win rate67%——
K/D0.78——
Headshot %60%——

Measured 18 Sep 2026 → 15 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.

Share this profile

CSDB.GGApEPEAK ELO1,833csdb.gg/stats

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Performance scores

Aim56
Positioning57
Utility56

0–100 skill scores via Leetify.

Recent form

HOT47–46–7Last 10047%Win rateWWWWLWWWLL

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · +7.2pp headshot accuracy · −14ms reaction

Win rate up 30pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 611ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 564ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 571ms

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 Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim5.6
Utility5.6
Positioning5.7
Opening Duels3.1
Clutch2.0

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 77% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.6
Positioning5.7
Utility5.6
Mechanics4.2
Opening Duels3.1
Win Impact5.0

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time585ms+19ms
first ⅓ avg 566ms → last ⅓ avg 585ms
Headshot accuracy18.8%+2.1%
first ⅓ avg 16.6% → last ⅓ avg 18.8%

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

0.29Best match rating · 9–0 · eldorado, 26 Aug →
44%Best headshot accuracy · 9–5 · nuke, 30 Jul →
359msFastest reaction time · 4–13 · ancient, 12 Aug →
13–2Biggest win · cache, 15 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
9–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 67% over 9ancientWeakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
cacheS2013–765%0.01
ancientC207–1335%-0.03
mirageC166–1038%-0.01
dust2C135–838%-0.02
nukeS96–367%0.04
eldoradoA74–357%0.09
inferno—42–250%0.02
poseidon—31–233%0.02
anubis—30–30%-0.05
overpass—33–0100%-0.01
vertigo—10–10%-0.04
debris—10–10%-0.18

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,239Lifetime kills
0.86K/D
2,502Matches
44.2%Match win rate
37.7%Headshot %
11.6%Shot accuracy
5,341MVPs
1,267Hours (in match)
1,711Bombs planted
605Bombs defused

Most-used weapons

Lifetime map wins

2,435dust2
1,571inferno
899train
837nuke
168vertigo
95cbble
70office
39assault

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

Faceit stats

Combat

516Matches
54%Win rate
0.90Avg K/D
72.0ADR
38%Headshot %

Clutches & streaks

30%1v1 clutch win
17%1v2 clutch win
15Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage13854%0.9013.8
Ancient9053%0.9014.1
Dust24848%0.8611.8
Cache4264%0.9812.8
Overpass2756%1.0013.2
Anubis2045%0.8112.2
Nuke1443%0.7612.8
Train862%0.7912.5

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.

19.4%Headshot accuracy
31.0%Accuracy (enemy spotted)
36.0%Spray accuracy
69.0%Counter-strafing
10.2°Preaim
583msReaction time
39.9%T opening success
45.0%CT opening success
0.48Enemies flashed / flash
6.8%Flash assists
5.43HE damage / grenade
15.74Flashes / 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 0.4787 — below the 0.5 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 39.8871% — below the 40% mark we flag

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.

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0413%28 Sept →
cache13–40.0036%28 Sept →
cache13–20.0730%15 Sept →
dust27–10.0224%15 Sept →
cache11–13-0.0216%14 Sept →
nuke13–40.0519%14 Sept →
nuke13–8-0.0121%14 Sept →
mirage6–3-0.025%14 Sept →
cache5–13-0.0423%14 Sept →
cache5–13-0.0236%9 Sept →
mirage13–6-0.0310%3 Sept →
dust29–13-0.0813%28 Aug →
mirage13–11-0.0117%28 Aug →
ancient10–13-0.0417%26 Aug →
eldorado9–00.2919%26 Aug →
cache13–70.0613%25 Aug →
cache7–13-0.0421%23 Aug →
eldorado5–90.0714%22 Aug →
eldorado6–90.0215%19 Aug →
nuke5–9-0.0512%19 Aug →
dust212–120.0438%17 Aug →
cache13–110.0116%17 Aug →
poseidon5–9-0.0725%17 Aug →
nuke9–20.2218%17 Aug →
eldorado9–70.029%17 Aug →
mirage8–13-0.0519%14 Aug →
ancient4–13-0.1114%12 Aug →
eldorado7–90.0216%11 Aug →
eldorado9–00.2812%9 Aug →
inferno9–70.0116%9 Aug →
dust26–130.0122%6 Aug →
dust213–30.0312%5 Aug →
cache12–12-0.0130%4 Aug →
dust211–13-0.0411%3 Aug →
vertigo10–13-0.0410%2 Aug →
poseidon9–50.1120%2 Aug →
poseidon8–80.0230%1 Aug →
debris3–9-0.180%1 Aug →
anubis5–13-0.0324%31 Jul →
nuke9–50.0944%30 Jul →
overpass9–60.056%30 Jul →
inferno9–40.0122%30 Jul →
inferno8–80.0518%29 Jul →
cache13–30.0318%27 Jul →
eldorado9–4-0.0624%27 Jul →
ancient16–130.0117%26 Jul →
dust25–13-0.0416%24 Jul →
cache11–13-0.0523%23 Jul →
ancient9–13-0.0111%22 Jul →
ancient13–11-0.037%21 Jul →
mirage11–13-0.0412%20 Jul →
cache13–70.0225%20 Jul →
ancient15–150.0320%20 Jul →
ancient11–13-0.0222%19 Jul →
cache13–80.0517%19 Jul →
dust22–13-0.0840%19 Jul →
mirage13–20.0219%19 Jul →
cache13–30.0513%19 Jul →
ancient13–11-0.0027%19 Jul →
mirage11–13-0.0225%18 Jul →
ancient13–16-0.0415%18 Jul →
ancient8–13-0.0919%18 Jul →
nuke6–130.0221%18 Jul →
anubis1–9-0.0721%15 Jul →
cache13–11-0.0217%14 Jul →
mirage13–60.0118%14 Jul →
ancient13–3-0.0118%14 Jul →
cache13–60.0122%14 Jul →
inferno8–130.0226%13 Jul →
nuke16–130.0219%13 Jul →
mirage8–13-0.0012%10 Jul →
mirage13–40.0719%6 Jul →
ancient16–14-0.0517%6 Jul →
cache3–13-0.0630%5 Jul →
mirage1–100.0610%5 Jul →
ancient5–130.0314%4 Jul →
dust23–13-0.1020%4 Jul →
overpass13–90.007%4 Jul →
ancient4–13-0.1213%3 Jul →
mirage5–13-0.0321%3 Jul →
cache13–80.0515%2 Jul →
overpass13–7-0.085%2 Jul →
mirage7–13-0.0123%2 Jul →
dust213–20.0216%30 Jun →
cache13–30.1715%30 Jun →
dust213–8-0.0310%28 Jun →
dust29–13-0.0022%28 Jun →
ancient13–60.0021%27 Jun →
mirage11–13-0.0620%27 Jun →
ancient6–13-0.0419%26 Jun →
anubis11–13-0.0519%26 Jun →
nuke13–90.0118%25 Jun →
ancient13–90.0511%25 Jun →
mirage12–120.0215%25 Jun →
nuke12–12-0.0113%25 Jun →
ancient8–13-0.0117%25 Jun →
mirage7–13-0.0317%24 Jun →
ancient11–13-0.0420%24 Jun →
ancient4–13-0.137%24 Jun →
cache13–7-0.0218%23 Jun →

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 →

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