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76561198079325696[U:1:119059968]Steam profile ↗✓ No bans

327Tracked matches37%Win rate2025Tracked since
CSDB Rating1.1 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim2
Positioning25
Utility7

0–100 skill scores via Leetify.

Recent form

COLD28–63–9Last 10028%Win rateLLLLWLLLWL

Last 10 vs previous 10: −30pp win rate · −0.06 avg rating · −10.1pp headshot accuracy · −64ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.10
  • Avg headshot accuracy 8%
  • Avg reaction 808ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 9%
  • Avg reaction 775ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 807ms

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 (+1.4 against its own average).

Aim0.2
Utility0.7
Positioning2.5
Opening Duels0.0

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

jL

Plays most like jL 67% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 796ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim0.2
Positioning2.5
Utility0.7
Mechanics2.4
Opening Duels0.0
Win Impact0.7

Composite 1.1/10 (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-0.07−0.00
first ⅓ avg -0.07 → last ⅓ avg -0.07
Reaction time799ms−39ms
first ⅓ avg 838ms → last ⅓ avg 799ms
Headshot accuracy10.7%+2.7%
first ⅓ avg 8.0% → last ⅓ avg 10.7%

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

0.12Best match rating · 13–4 · mirage, 21 Aug →
43%Best headshot accuracy · 1–13 · dust2, 17 Aug →
578msFastest reaction time · 1–13 · office, 3 Jun →
13–0Biggest win · vertigo, 28 Mar →

Across the last 100 tracked matches.

Highlights

2Longest win streak
L4Current streak
4–4In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 60% over 5mirageWeakest map · 11% over 18
MapGradePlayedRecordWin rateAvg rating
mirageD182–1611%-0.07
officeD184–1422%-0.09
vertigoC177–1041%-0.08
nukeC145–936%-0.07
infernoC104–640%-0.09
cacheD93–633%-0.06
dust2A53–260%-0.04
shelter—20–20%-0.09
fachwerk—20–20%-0.11
boulder—20–20%-0.09
train—20–20%-0.08
ancient—10–10%-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 18). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.1%Headshot accuracy
21.7%Accuracy (enemy spotted)
21.0%Spray accuracy
60.7%Counter-strafing
15.8°Preaim
796msReaction time
15.6%T opening success
20.4%CT opening success
0.09Enemies flashed / flash
0.8%Flash assists
3.44HE damage / grenade
1.40Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 15.7935° — above the 12° mark we flag

    Aim Training →
  2. 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 11.0896% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 795.6825ms — above the 700ms mark we flag

    Aim Training →
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.

11% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno1–13-0.1213%18 Sept →
mirage6–13-0.110%16 Sept →
mirage3–13-0.119%14 Sept →
dust21–13-0.097%5 Sept →
vertigo13–3-0.089%5 Sept →
inferno8–13-0.0814%3 Sept →
mirage5–13-0.079%29 Aug →
nuke0–13-0.070%29 Aug →
cache13–11-0.089%29 Aug →
mirage11–13-0.0719%25 Aug →
cache4–130.0623%21 Aug →
mirage13–40.1217%21 Aug →
dust21–13-0.0843%17 Aug →
dust213–90.1123%14 Aug →
vertigo3–13-0.1113%7 Aug →
mirage7–13-0.099%7 Aug →
inferno13–10-0.099%7 Aug →
vertigo12–12-0.0810%6 Aug →
dust213–9-0.0516%6 Aug →
inferno13–3-0.0829%6 Aug →
mirage12–12-0.107%5 Aug →
office13–10-0.116%5 Aug →
shelter10–13-0.120%25 Jul →
cache13–11-0.094%25 Jul →
cache13–11-0.058%25 Jul →
inferno2–13-0.070%20 Jul →
office3–13-0.119%20 Jul →
office7–13-0.1219%18 Jul →
nuke12–12-0.118%18 Jul →
fachwerk2–13-0.100%18 Jul →
ancient4–13-0.098%16 Jul →
inferno6–13-0.100%16 Jul →
nuke4–13-0.105%16 Jul →
nuke11–13-0.1019%15 Jul →
cache8–13-0.054%14 Jul →
cache10–13-0.117%14 Jul →
office13–9-0.043%13 Jul →
boulder2–13-0.0612%13 Jul →
vertigo6–13-0.156%10 Jul →
boulder3–13-0.128%10 Jul →
fachwerk12–12-0.125%10 Jul →
shelter12–12-0.054%10 Jul →
inferno13–8-0.080%1 Jul →
office6–13-0.0715%26 Jun →
cache2–13-0.070%26 Jun →
vertigo13–4-0.114%21 Jun →
vertigo3–13-0.0713%20 Jun →
nuke13–7-0.114%20 Jun →
office7–13-0.097%20 Jun →
vertigo10–13-0.124%19 Jun →
train7–13-0.087%19 Jun →
office3–13-0.0812%19 Jun →
cache2–13-0.0729%3 Jun →
vertigo11–13-0.126%3 Jun →
vertigo12–12-0.096%3 Jun →
office1–13-0.100%3 Jun →
nuke13–10-0.109%8 May →
cache6–13-0.1113%8 May →
vertigo1–7-0.0917%7 Apr →
mirage8–13-0.105%4 Apr →
nuke13–60.057%4 Apr →
office13–5-0.115%31 Mar →
inferno6–13-0.0911%31 Mar →
vertigo13–9-0.0914%31 Mar →
inferno13–6-0.119%30 Mar →
nuke12–12-0.075%30 Mar →
mirage1–13-0.098%30 Mar →
office5–13-0.164%30 Mar →
office11–13-0.069%30 Mar →
nuke13–9-0.0714%30 Mar →
mirage10–13-0.0015%30 Mar →
mirage9–13-0.0913%28 Mar →
vertigo13–00.020%28 Mar →
mirage13–10.0110%28 Mar →
inferno8–13-0.100%27 Mar →
nuke10–13-0.105%27 Mar →
mirage4–13-0.1210%27 Mar →
mirage6–13-0.1511%26 Mar →
office4–13-0.093%26 Mar →
vertigo13–9-0.104%25 Mar →
train10–13-0.083%25 Mar →
mirage1–13-0.056%25 Mar →
nuke12–12-0.0311%23 Mar →
office7–13-0.0617%23 Mar →
mirage7–13-0.115%23 Mar →
office4–13-0.059%22 Mar →
mirage3–13-0.0812%22 Mar →
vertigo10–13-0.068%22 Mar →
vertigo3–13-0.063%19 Mar →
nuke13–6-0.1210%19 Mar →
vertigo13–3-0.0110%18 Mar →
office0–7-0.070%18 Mar →
office10–13-0.095%18 Mar →
office7–13-0.148%17 Mar →
vertigo13–11-0.087%12 Mar →
nuke10–13-0.073%12 Mar →
mirage12–12-0.0410%11 Mar →
nuke5–130.0012%11 Mar →
dust213–5-0.0617%10 Mar →
office13–7-0.0414%10 Mar →

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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