SimonEnte

SimonEnte — CS2 Stats

DE76561198263084781[U:1:302819053]Steam profile ↗✓ No bans

119Tracked matches57%Win rate2023Tracked since
251Hours in CS
CSDB Rating4.8 DevelopingPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 13,509 +5,572 9 Feb – 14 Jul · 12 days played
7,93716,727peak 16,7279 Feb14 Jul
17,026Peak Premier in tracked matches
40Days played since 2023-11-27

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

Performance scores

Aim52
Positioning42
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY53–35–7Last 9556%Win rateTWWLWWLWWL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +1.0pp headshot accuracy · −20ms 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 709ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 681ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 691ms

Newest first, from the last 95 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 (+1.3 against its own average).

Aim5.2
Utility3.1
Positioning4.2
Opening Duels1.4

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 91% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 689ms 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

Aim5.2
Positioning4.2
Utility3.1
Mechanics7.5
Opening Duels0.6
Win Impact7.4

Composite 4.8/10 (Developing), 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-0.00−0.06
first ⅓ avg 0.05 → last ⅓ avg -0.00
Reaction time682ms−3ms
first ⅓ avg 685ms → last ⅓ avg 682ms
Headshot accuracy19.7%−1.2%
first ⅓ avg 20.9% → last ⅓ avg 19.7%

Rolling 5-match average across the last 95 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.20Best match rating · 13–9 · inferno, 4 Mar →
39%Best headshot accuracy · 9–13 · nuke, 5 May →
422msFastest reaction time · 1–13 · ancient, 28 Mar →
13–0Biggest win · nuke, 9 Feb →

Across the last 95 tracked matches.

Highlights

7Longest win streak
7–2In matches decided by ≤2 rounds
7Overtime games

Map breakdown

trainBest map · 100% over 5mirageWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA3119–1261%0.03
nukeB178–947%0.02
ancientC104–640%-0.02
anubisA74–357%0.01
dust2A74–357%0.05
mirageD62–433%-0.00
trainS55–0100%0.03
overpassS54–180%0.07
vertigoA53–260%-0.00
office—20–20%0.11

Across the last 95 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,611Lifetime kills
1.08K/D · Top 50% of tracked players
659Matches
46.1%Match win rate · Top 50% of tracked players
39.2%Headshot %
14.6%Shot accuracy · Top 50% of tracked players
1,695MVPs
251Hours (in match)
465Bombs planted
106Bombs defused

Most-used weapons

Lifetime map wins

863inferno
777dust2
431nuke
313train
270cbble
212aztec
153vertigo
137office

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.

19.5%Headshot accuracy
30.6%Accuracy (enemy spotted)
32.8%Spray accuracy
83.9%Counter-strafing
11.1°Preaim
689msReaction time
27.5%T opening success
34.6%CT opening success
0.65Enemies flashed / flash
7.9%Flash assists
10.22HE damage / grenade
10.10Flashes / 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 27.5351% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient15–15-0.0328%16 Jan →
train16–12-0.0019%16 Jan →
train13–110.0618%17 Sept →
inferno5–13-0.0220%18 Jul →
overpass12–20.0117%18 Jul →
inferno13–6-0.0715%14 Jul →
nuke8–13-0.0514%18 May →
ancient13–11-0.0310%18 May →
inferno13–50.0124%18 May →
nuke9–13-0.0639%5 May →
ancient7–130.0126%29 Apr →
nuke13–50.0117%29 Apr →
nuke15–15-0.0111%24 Apr →
inferno13–6-0.0117%24 Apr →
anubis4–13-0.0930%22 Apr →
train13–60.0923%22 Apr →
nuke7–130.0220%22 Apr →
inferno13–30.0614%21 Apr →
inferno7–130.0115%21 Apr →
inferno5–13-0.0421%21 Apr →
ancient10–13-0.0513%21 Apr →
nuke8–130.0318%21 Apr →
inferno13–9-0.0026%18 Apr →
nuke13–8-0.0610%18 Apr →
ancient13–110.0319%18 Apr →
anubis13–50.0623%18 Apr →
ancient13–70.0018%18 Apr →
inferno13–11-0.0411%6 Apr →
anubis14–160.1019%28 Mar →
ancient1–13-0.1035%28 Mar →
inferno13–50.0320%25 Mar →
nuke13–4-0.019%25 Mar →
anubis13–10-0.0218%25 Mar →
inferno9–130.0538%21 Mar →
anubis15–150.0216%20 Mar →
inferno8–13-0.0616%19 Mar →
train13–20.0222%16 Mar →
inferno13–4-0.0211%16 Mar →
inferno8–13-0.0713%15 Mar →
nuke10–13-0.0126%13 Mar →
anubis13–90.0223%9 Mar →
inferno5–13-0.0319%16 Feb →
nuke13–90.0918%16 Feb →
train13–11-0.0024%16 Feb →
dust213–100.0816%25 Mar →
mirage10–13-0.0416%17 Mar →
dust212–120.0416%10 Mar →
inferno13–90.0311%10 Mar →
overpass13–11-0.0222%6 Mar →
nuke10–13-0.0219%6 Mar →
dust213–100.0318%6 Mar →
mirage1–90.0019%6 Mar →
office12–120.1428%4 Mar →
nuke9–60.0530%4 Mar →
inferno12–120.0721%4 Mar →
inferno13–70.0714%4 Mar →
inferno13–90.2014%4 Mar →
dust213–90.0330%4 Mar →
dust212–120.0923%3 Mar →
dust213–90.1122%3 Mar →
dust27–13-0.0021%3 Mar →
inferno13–80.0725%29 Feb →
inferno2–8-0.0329%29 Feb →
ancient7–13-0.0420%27 Feb →
office10–130.0824%27 Feb →
vertigo10–130.0014%21 Feb →
inferno13–40.0823%21 Feb →
mirage10–13-0.0413%21 Feb →
vertigo13–60.0126%21 Feb →
mirage13–60.0710%21 Feb →
nuke13–100.1226%18 Feb →
inferno13–40.0518%18 Feb →
vertigo13–50.0118%9 Feb →
anubis13–7-0.0313%9 Feb →
nuke13–00.0914%9 Feb →
nuke3–13-0.0721%20 Jan →
inferno13–110.1621%20 Jan →
overpass13–80.1624%17 Jan →
inferno13–80.1124%17 Jan →
inferno10–130.0622%17 Jan →
nuke13–160.1721%31 Dec →
vertigo14–16-0.0323%31 Dec →
inferno2–130.0426%31 Dec →
inferno4–130.1025%31 Dec →
overpass9–10.0727%31 Dec →
inferno13–20.1027%16 Dec →
vertigo13–9-0.0118%16 Dec →
mirage6–13-0.0116%16 Dec →
ancient5–13-0.0325%16 Dec →
ancient13–70.0734%5 Dec →
nuke13–40.0416%5 Dec →
mirage13–90.0023%5 Dec →
inferno13–40.0822%4 Dec →
inferno13–90.0516%4 Dec →
overpass6–130.1318%27 Nov →

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 →

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