Simon :)

Simon :) — CS2 Stats

GS76561199118245349[U:1:1157979621]Steam profile ↗✓ No bans

190Tracked matches41%Win rate2022Tracked since
CSDB Rating3.8 LearningSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

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CSDB.GGSimon :)FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim42
Positioning40
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY43–50–7Last 10043%Win rateWWWLLLLTWL

Last 10 vs previous 10: 0pp win rate · −0.06 avg rating · +4.4pp headshot accuracy · +71ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 22%
  • Avg reaction 730ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 703ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 668ms

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 (+2.7 against its own average).

Aim4.2
Utility4.9
Positioning4.0
Opening Duels0.0
Clutch0.0

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

iM

Plays most like iM 71% 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. 652ms 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

Aim4.2
Positioning4.0
Utility4.9
Mechanics5.2
Opening Duels0.2
Win Impact2.1

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+0.04
first ⅓ avg -0.05 → last ⅓ avg -0.01
Reaction time650ms−25ms
first ⅓ avg 674ms → last ⅓ avg 650ms
Headshot accuracy14.3%−1.0%
first ⅓ avg 15.3% → last ⅓ avg 14.3%

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

0.19Best match rating · 13–0 · inferno, 25 Feb →
35%Best headshot accuracy · 2–13 · mirage, 23 Feb →
453msFastest reaction time · 11–13 · ancient, 12 Mar →
13–0Biggest win · inferno, 25 Feb →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W3Current streak
8–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 77% over 13infernoWeakest map · 23% over 22
MapGradePlayedRecordWin rateAvg rating
infernoD225–1723%-0.03
mirageD175–1229%0.01
ancientS1310–377%-0.03
overpassB136–746%0.01
nukeA127–558%-0.03
vertigoA85–363%-0.02
anubisD72–529%-0.03
assembly—32–167%-0.02
dust2—20–20%-0.02
cache—10–10%-0.13
train—10–10%0.03
memento—11–0100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches
50%Win rate
0.63Avg K/D
49.2ADR
40%Headshot %

Clutches & streaks

20%1v1 clutch win
17%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient2100%0.9414.0
Inferno20%0.588.0
Nuke2100%0.649.5
Dust210%0.315.0
Anubis10%0.448.0

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.

14.5%Headshot accuracy
31.0%Accuracy (enemy spotted)
36.2%Spray accuracy
73.5%Counter-strafing
11.5°Preaim
652msReaction time
21.5%T opening success
31.8%CT opening success
0.46Enemies flashed / flash
4.2%Flash assists
7.42HE damage / grenade
9.20Flashes / 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 14.5405% — 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 0.4561 — 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 21.4657% — 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.

23% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.0619%6 May →
vertigo16–12-0.0715%6 May →
inferno13–4-0.0817%30 Apr →
inferno4–13-0.0429%30 Apr →
cache6–13-0.1329%30 Apr →
ancient7–13-0.0618%9 Apr →
inferno9–13-0.0123%9 Apr →
vertigo8–8-0.0113%23 Mar →
overpass13–4-0.027%23 Mar →
mirage8–13-0.016%20 Mar →
inferno10–13-0.0119%19 Mar →
nuke13–10-0.0212%19 Mar →
anubis10–13-0.0312%19 Mar →
overpass13–110.0518%14 Mar →
overpass8–13-0.013%12 Mar →
ancient11–13-0.0418%12 Mar →
overpass8–130.0815%12 Mar →
inferno13–20.1017%11 Mar →
mirage12–120.0114%10 Mar →
overpass13–2-0.007%10 Mar →
mirage11–130.1615%9 Mar →
inferno8–130.029%5 Mar →
mirage14–16-0.0614%3 Mar →
ancient4–13-0.0710%3 Mar →
nuke5–13-0.0412%3 Mar →
overpass13–60.1019%3 Mar →
ancient13–4-0.0510%2 Mar →
ancient13–10.069%2 Mar →
mirage8–13-0.0417%2 Mar →
mirage13–10.0913%2 Mar →
inferno8–13-0.017%2 Mar →
overpass3–13-0.0513%2 Mar →
anubis13–60.0213%1 Mar →
ancient13–8-0.0014%1 Mar →
mirage9–13-0.033%27 Feb →
anubis7–130.0917%27 Feb →
inferno14–16-0.1312%26 Feb →
ancient13–11-0.0312%26 Feb →
nuke11–130.0023%26 Feb →
mirage12–120.0229%25 Feb →
ancient13–20.0115%25 Feb →
mirage12–120.0415%25 Feb →
overpass8–13-0.0112%25 Feb →
mirage13–40.0722%25 Feb →
inferno13–00.1929%25 Feb →
mirage13–50.028%23 Feb →
mirage2–13-0.0235%23 Feb →
train5–50.0311%23 Feb →
mirage13–80.0514%21 Feb →
overpass11–50.0019%21 Feb →
inferno7–13-0.0719%21 Feb →
overpass7–13-0.014%20 Feb →
nuke13–80.0112%19 Feb →
ancient13–60.017%19 Feb →
inferno5–13-0.1017%19 Feb →
dust27–13-0.028%19 Feb →
overpass12–120.099%19 Feb →
vertigo13–110.0317%18 Feb →
inferno13–100.0215%18 Feb →
nuke7–130.0218%18 Feb →
vertigo13–30.015%16 Feb →
overpass13–40.0411%16 Feb →
vertigo13–80.059%16 Feb →
inferno2–13-0.0411%16 Feb →
vertigo13–50.0611%16 Feb →
dust213–16-0.0211%29 Jan →
ancient13–10-0.0629%29 Jan →
anubis12–16-0.0815%29 Jan →
inferno11–13-0.0619%22 Jan →
anubis13–7-0.040%22 Jan →
vertigo12–12-0.0619%22 Jan →
inferno7–13-0.0917%23 Oct →
ancient13–10-0.0716%23 Oct →
nuke13–11-0.0415%23 Oct →
nuke0–6-0.120%23 Oct →
nuke13–8-0.0618%25 Sept →
ancient16–14-0.0511%14 Aug →
inferno4–13-0.0717%14 Aug →
anubis8–13-0.0811%22 Jun →
ancient13–4-0.0013%22 Jun →
mirage0–130.000%22 Jun →
nuke8–13-0.0610%22 Jun →
mirage11–13-0.1024%20 Jun →
inferno5–13-0.0633%19 Jun →
nuke13–100.0115%19 Jun →
anubis10–13-0.0614%19 Jun →
mirage9–13-0.0111%16 Aug →
assembly9–7-0.0313%21 Jul →
memento9–20.0414%21 Jul →
vertigo4–9-0.2115%21 Jul →
nuke9–4-0.1212%21 Jul →
overpass4–9-0.1010%21 Jul →
inferno9–50.0015%21 Jul →
inferno3–13-0.0613%20 Jul →
assembly8–8-0.0224%17 Jul →
assembly9–7-0.0313%17 Jul →
nuke9–40.0820%17 Jul →
inferno6–9-0.0526%17 Jul →
inferno7–9-0.0321%17 Jul →
inferno2–130.0233%14 Jul →

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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