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AU76561198376908366[U:1:416642638]Steam profile ↗✓ No bans

660Tracked matches44%Win rate2020Tracked since
CSDB Rating2.2 LearningPositional Player
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

+10Tracked matches · now 660
+13.7ppWin rate · 30.8% → 44.4%

Rating over time

39Days played since 2026-02-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim26
Positioning33
Utility4

0–100 skill scores via Leetify.

Recent form

STEADY34–53–13Last 10034%Win rateWWWWLLWLLW

Last 10 vs previous 10: +40pp win rate · +0.00 avg rating · −2.4pp headshot accuracy · +124ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 5%
  • Avg reaction 703ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 5%
  • Avg reaction 738ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 6%
  • Avg reaction 677ms

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 (+2.1 against its own average).

Aim2.6
Utility0.4
Positioning3.3
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 79% 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. 658ms 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

Aim2.6
Positioning3.3
Utility0.4
Mechanics2.5
Opening Duels0.0
Win Impact3.1

Composite 2.2/10 (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-0.04+0.02
first ⅓ avg -0.06 → last ⅓ avg -0.04
Reaction time680ms−13ms
first ⅓ avg 692ms → last ⅓ avg 680ms
Headshot accuracy8.5%−2.9%
first ⅓ avg 11.4% → last ⅓ avg 8.5%

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

0.05Best match rating · 13–2 · train, 17 Aug →
26%Best headshot accuracy · 9–13 · ancient, 19 Mar →
445msFastest reaction time · 3–13 · ancient, 23 Aug →
13–1Biggest win · cache, 5 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
3–8In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 55% over 11ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
anubisD155–1033%-0.06
cacheD143–1121%-0.04
vertigoA116–555%-0.03
nukeC94–544%-0.06
ancientD81–713%-0.08
trainB84–450%-0.03
dust2C73–443%-0.06
mirageD61–517%-0.04
overpassD62–433%-0.07
office—41–325%-0.01
inferno—42–250%-0.07
shelter—20–20%-0.06
alpine—20–20%-0.01
eldorado—10–10%-0.11
poseidon—10–10%-0.11
warden—11–0100%-0.08
stronghold—11–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient 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.

8.2%Headshot accuracy
34.2%Accuracy (enemy spotted)
35.6%Spray accuracy
61.1%Counter-strafing
12.4°Preaim
658msReaction time
21.4%T opening success
29.8%CT opening success
0.10Enemies flashed / flash
0.0%Flash assists
1.90HE damage / grenade
0.62Flashes / 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 12.3811° — 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 8.2035% — below the 15% mark we flag

    Aim Training →
  3. 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 0.096 — below the 0.5 mark we flag

    Grenade Lineups →
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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–40.010%2 Oct →
nuke13–7-0.029%2 Oct →
vertigo13–10-0.016%26 Sept →
vertigo13–7-0.0210%26 Sept →
shelter3–13-0.050%26 Sept →
anubis5–13-0.115%20 Sept →
nuke13–6-0.030%20 Sept →
anubis9–13-0.050%20 Sept →
nuke7–13-0.1010%13 Sept →
cache13–6-0.009%13 Sept →
anubis10–13-0.058%30 Aug →
anubis13–30.0321%30 Aug →
cache6–13-0.020%30 Aug →
mirage12–120.044%30 Aug →
ancient4–13-0.124%30 Aug →
ancient3–13-0.1110%23 Aug →
cache10–13-0.075%23 Aug →
vertigo13–11-0.056%23 Aug →
cache12–12-0.0310%23 Aug →
nuke3–90.014%23 Aug →
anubis2–13-0.0224%23 Aug →
eldorado8–8-0.1113%17 Aug →
poseidon6–9-0.1118%17 Aug →
train13–20.0517%17 Aug →
train13–7-0.0210%17 Aug →
shelter10–13-0.076%8 Aug →
train7–13-0.056%8 Aug →
overpass13–8-0.0310%8 Aug →
ancient12–12-0.0712%4 Aug →
vertigo13–4-0.026%4 Aug →
vertigo8–13-0.0424%4 Aug →
vertigo5–13-0.0110%4 Aug →
nuke0–13-0.077%4 Aug →
nuke8–13-0.054%25 Jul →
anubis12–12-0.0116%25 Jul →
anubis4–13-0.1011%24 Jul →
anubis8–13-0.115%24 Jul →
cache11–13-0.028%21 Jul →
dust213–10-0.0718%21 Jul →
ancient9–13-0.107%21 Jul →
mirage13–80.019%12 Jul →
office11–13-0.0315%10 Jul →
office11–130.012%10 Jul →
cache2–13-0.119%5 Jul →
cache13–5-0.039%5 Jul →
nuke11–13-0.1014%26 Jun →
overpass12–12-0.107%26 Jun →
train9–13-0.064%23 Jun →
ancient13–9-0.0712%23 Jun →
anubis13–8-0.0212%1 Jun →
anubis5–13-0.087%1 Jun →
dust210–13-0.0712%26 May →
cache7–13-0.059%26 May →
cache11–13-0.066%19 May →
office11–13-0.018%19 May →
office13–90.0114%19 May →
inferno12–12-0.067%12 May →
cache10–13-0.0113%11 May →
cache8–13-0.052%11 May →
cache13–10.0114%5 May →
cache12–12-0.058%5 May →
cache8–130.000%30 Apr →
mirage8–13-0.1018%28 Apr →
train10–13-0.0323%25 Apr →
train10–13-0.0315%25 Apr →
dust213–100.0011%20 Apr →
overpass10–13-0.0910%20 Apr →
dust26–13-0.100%19 Apr →
mirage9–13-0.058%19 Apr →
vertigo11–13-0.068%13 Apr →
vertigo3–13-0.0815%13 Apr →
vertigo13–9-0.066%13 Apr →
anubis13–3-0.055%5 Apr →
ancient10–13-0.0517%5 Apr →
inferno6–13-0.100%5 Apr →
inferno13–7-0.0612%2 Apr →
mirage11–13-0.0713%30 Mar →
dust213–8-0.0312%30 Mar →
dust210–13-0.096%22 Mar →
warden13–9-0.086%22 Mar →
stronghold13–1-0.0112%22 Mar →
alpine12–12-0.0114%22 Mar →
dust26–13-0.0520%19 Mar →
overpass13–7-0.019%19 Mar →
nuke13–6-0.0819%19 Mar →
ancient9–13-0.0726%19 Mar →
overpass12–12-0.0712%17 Mar →
train13–10-0.085%17 Mar →
anubis13–11-0.108%13 Mar →
vertigo8–13-0.0524%9 Mar →
anubis12–12-0.0814%9 Mar →
alpine12–12-0.0210%9 Mar →
inferno13–8-0.082%8 Mar →
mirage10–13-0.0415%8 Mar →
nuke13–11-0.065%8 Mar →
overpass4–13-0.1214%8 Mar →
anubis13–5-0.0410%8 Mar →
ancient12–12-0.0516%8 Mar →
anubis6–13-0.1117%28 Feb →
train13–8-0.0015%28 Feb →

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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