E16

E16 — CS2 Stats

76561198163940500[U:1:203674772]Steam profile ↗✓ No bans

629Tracked matches28%Win rate2023Tracked since
CSDB Rating4.8 DevelopingSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,303 -1,812 11 Apr – 26 Jun · 13 days played
18,30320,115peak 20,11511 Apr26 Jun
20,115Peak Premier in tracked matches
873Highest Faceit ELO seen on CSDB
43Days played since 2026-04-11

Faceit ELO

  • At peak — 873
  • Next: Level 4 at 901 — 28 to go
  • Reached: Level 3 · Level 2

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

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CSDB.GGE16PEAK ELO873csdb.gg/stats

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Performance scores

Aim72
Positioning49
Utility55

0–100 skill scores via Leetify.

Recent form

COLD36–57–7Last 10036%Win rateLTWWWLLLLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −1.1pp headshot accuracy · −6ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 514ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 539ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 542ms

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 (+1.6 against its own average).

Aim7.2
Utility5.5
Positioning4.9
Opening Duels2.3
Clutch3.0

Strong CT-side opener

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 97% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 48% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.2
Positioning4.9
Utility5.5
Mechanics7.5
Opening Duels2.6
Win Impact0.0

Composite 4.8/10 (Developing), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time546ms−63ms
first ⅓ avg 609ms → last ⅓ avg 546ms
Headshot accuracy15.0%−2.9%
first ⅓ avg 17.9% → last ⅓ avg 15.0%

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

0.09Best match rating · 13–4 · inferno, 31 May →
36%Best headshot accuracy · 13–2 · ancient, 13 Jun →
391msFastest reaction time · 5–13 · ancient, 23 Aug →
13–2Biggest win · ancient, 13 Jun →

Across the last 100 tracked matches.

Highlights

3Longest win streak
6–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 53% over 15cacheWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2D248–1633%-0.02
ancientD196–1332%-0.02
anubisB158–753%0.01
mirageD134–931%-0.03
infernoD103–730%-0.00
cacheD81–713%-0.01
nuke—43–175%0.02
train—30–30%-0.01
overpass—32–167%-0.04
vertigo—11–0100%-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

77Matches
48%Win rate
0.85Avg K/D
68.1ADR
38%Headshot %

Clutches & streaks

35%1v1 clutch win
16%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1947%0.8311.5
Ancient1553%0.8312.6
Nuke978%1.0915.1
Vertigo944%0.8212.8
Dust2838%0.9814.5
Anubis838%0.737.9
Inferno450%1.0211.5
Train1100%0.5413.0

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.

15.1%Headshot accuracy
30.2%Accuracy (enemy spotted)
37.4%Spray accuracy
83.6%Counter-strafing
8.0°Preaim
540msReaction time
32.7%T opening success
47.8%CT opening success
0.64Enemies flashed / flash
5.7%Flash assists
6.66HE damage / grenade
14.34Flashes / 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

    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 32.7294% — below the 40% mark we flag

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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.038%12 Oct →
train12–120.0316%12 Oct →
dust213–100.0422%4 Oct →
ancient16–130.0318%3 Oct →
mirage13–70.0010%3 Oct →
dust29–13-0.0013%3 Oct →
mirage13–16-0.1022%28 Sept →
ancient5–13-0.0418%16 Sept →
ancient10–13-0.0314%13 Sept →
mirage4–13-0.0320%12 Sept →
ancient8–13-0.049%12 Sept →
dust29–13-0.0124%12 Sept →
dust26–13-0.0216%6 Sept →
dust213–11-0.029%23 Aug →
ancient5–13-0.0418%23 Aug →
mirage7–130.0218%23 Aug →
mirage13–60.0124%16 Aug →
dust29–13-0.0711%16 Aug →
mirage10–13-0.0820%8 Aug →
cache9–13-0.0222%8 Aug →
ancient11–13-0.0312%8 Aug →
train3–13-0.0817%5 Aug →
cache5–130.017%2 Aug →
mirage10–13-0.0512%1 Aug →
anubis7–130.0517%1 Aug →
anubis3–30.020%26 Jul →
dust213–11-0.0611%22 Jul →
anubis13–4-0.0018%22 Jul →
anubis13–9-0.039%22 Jul →
anubis0–13-0.067%22 Jul →
anubis13–100.0818%22 Jul →
dust212–12-0.0217%21 Jul →
dust213–16-0.0419%18 Jul →
mirage13–7-0.0018%17 Jul →
dust213–8-0.0319%12 Jul →
nuke8–13-0.0717%12 Jul →
anubis15–15-0.0413%11 Jul →
dust216–12-0.0316%11 Jul →
ancient16–14-0.0418%11 Jul →
inferno9–130.0515%11 Jul →
ancient16–13-0.0117%11 Jul →
dust29–130.0615%6 Jul →
cache12–12-0.0110%5 Jul →
inferno7–13-0.1210%26 Jun →
dust27–13-0.0221%26 Jun →
anubis16–140.0110%21 Jun →
dust26–13-0.0513%20 Jun →
dust22–13-0.0318%20 Jun →
ancient5–13-0.0218%19 Jun →
anubis13–11-0.0020%13 Jun →
cache10–13-0.0015%13 Jun →
inferno11–20.0317%13 Jun →
nuke13–80.0813%13 Jun →
vertigo13–9-0.0214%13 Jun →
cache7–13-0.0617%13 Jun →
ancient13–20.0836%13 Jun →
inferno9–13-0.0625%13 Jun →
anubis7–13-0.0219%13 Jun →
dust213–16-0.0521%6 Jun →
ancient13–60.0222%6 Jun →
ancient11–13-0.0219%31 May →
inferno13–40.0918%31 May →
anubis13–60.0820%31 May →
anubis11–13-0.0614%24 May →
dust29–13-0.058%24 May →
ancient7–13-0.0528%24 May →
inferno3–13-0.0528%23 May →
dust213–16-0.0112%23 May →
anubis13–100.0527%23 May →
ancient5–13-0.0226%23 May →
cache4–130.0210%10 May →
nuke13–60.0616%10 May →
inferno7–130.0225%10 May →
dust213–80.0117%9 May →
mirage16–120.0222%9 May →
anubis14–160.0413%2 May →
cache6–13-0.0124%2 May →
dust29–13-0.026%2 May →
mirage8–13-0.0514%2 May →
cache13–9-0.0223%2 May →
nuke13–7-0.0015%25 Apr →
train12–120.0217%25 Apr →
overpass5–13-0.1216%25 Apr →
ancient11–13-0.0121%23 Apr →
inferno12–12-0.0115%23 Apr →
dust21–13-0.0918%23 Apr →
mirage14–16-0.0218%18 Apr →
dust213–8-0.0011%18 Apr →
ancient3–13-0.0711%18 Apr →
inferno13–100.0236%18 Apr →
ancient9–130.0524%18 Apr →
inferno11–13-0.0317%17 Apr →
dust213–3-0.0113%17 Apr →
ancient13–5-0.0224%17 Apr →
overpass13–110.0116%17 Apr →
ancient15–15-0.0119%16 Apr →
mirage4–13-0.0827%14 Apr →
dust211–13-0.0316%14 Apr →
overpass13–10-0.0110%12 Apr →
anubis13–8-0.0312%11 Apr →

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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