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MasterChief

MasterChief — CS2 Stats

DE76561199482154994[U:1:1521889266]Steam profile ↗✓ No bans

333Tracked matches37%Win rate2024Tracked since
CSDB Rating2.1 LearningSupport
Ladder ranks via Leetify

Performance scores

Aim8
Positioning28
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY32–57–11Last 10032%Win rateLWWWLWTLLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +0.6pp headshot accuracy · +53ms 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 -0.02
  • Avg headshot accuracy 8%
  • Avg reaction 744ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 811ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 784ms

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 against its own average).

Aim0.8
Utility4.4
Positioning2.8
Opening Duels0.0

Effective flashes

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 57% 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

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 68% 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

Aim0.8
Positioning2.8
Utility4.4
Mechanics4.1
Opening Duels0.0
Win Impact0.7

Composite 2.1/10 (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-0.04+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time788ms−47ms
first ⅓ avg 835ms → last ⅓ avg 788ms
Headshot accuracy9.5%−0.2%
first ⅓ avg 9.7% → last ⅓ avg 9.5%

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

0.11Best match rating · 13–4 · dust2, 10 Sept →
27%Best headshot accuracy · 13–3 · dust2, 17 Sept →
492msFastest reaction time · 4–13 · dust2, 13 Sept →
13–2Biggest win · dust2, 3 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
0–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 38% over 8dust2Weakest map · 34% over 85
MapGradePlayedRecordWin rateAvg rating
dust2D8529–5634%-0.04
mirageC83–538%-0.04
train—30–30%-0.07
ancient—30–30%-0.10
anubis—10–10%-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (34% over 85). Start with the 6 essential Dust 2 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.

9.4%Headshot accuracy
24.4%Accuracy (enemy spotted)
25.2%Spray accuracy
68.3%Counter-strafing
12.2°Preaim
796msReaction time
17.5%T opening success
28.9%CT opening success
0.76Enemies flashed / flash
1.5%Flash assists
7.62HE damage / grenade
7.50Flashes / 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 12.1932° — 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 9.4463% — 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 796.1207ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

34% win rate across 85 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0311%12 Nov →
dust213–50.035%11 Nov →
dust213–6-0.0218%11 Nov →
dust213–7-0.047%9 Nov →
dust28–13-0.030%8 Nov →
dust213–4-0.0022%7 Nov →
train12–12-0.0713%7 Nov →
mirage11–13-0.0610%7 Nov →
dust22–13-0.049%4 Nov →
dust211–13-0.108%3 Nov →
dust213–7-0.0915%3 Nov →
dust28–13-0.0111%2 Nov →
dust23–13-0.0820%31 Oct →
dust213–9-0.0212%30 Oct →
dust24–90.0113%24 Oct →
dust28–13-0.103%24 Oct →
dust213–4-0.043%23 Oct →
dust212–12-0.049%23 Oct →
dust213–80.047%6 Oct →
mirage12–12-0.024%5 Oct →
dust213–3-0.026%4 Oct →
dust29–13-0.017%4 Oct →
dust210–130.0013%4 Oct →
dust27–13-0.0812%4 Oct →
dust21–13-0.0617%4 Oct →
dust213–50.0011%4 Oct →
dust28–13-0.0410%3 Oct →
dust24–13-0.063%3 Oct →
mirage4–13-0.025%3 Oct →
dust26–13-0.106%3 Oct →
dust213–20.026%3 Oct →
dust213–4-0.022%3 Oct →
dust213–8-0.0817%26 Sept →
dust23–13-0.108%26 Sept →
ancient5–13-0.100%26 Sept →
ancient13–16-0.074%26 Sept →
dust26–13-0.089%24 Sept →
dust212–12-0.017%24 Sept →
dust26–13-0.0616%24 Sept →
dust213–10-0.056%24 Sept →
dust22–13-0.028%24 Sept →
dust212–12-0.0918%24 Sept →
dust213–70.015%19 Sept →
dust24–13-0.0017%19 Sept →
dust28–130.059%19 Sept →
dust213–7-0.0921%17 Sept →
dust210–13-0.137%17 Sept →
dust213–3-0.0027%17 Sept →
dust213–20.053%17 Sept →
dust212–120.056%17 Sept →
dust213–90.114%17 Sept →
dust29–130.0315%17 Sept →
dust25–13-0.0714%13 Sept →
dust210–13-0.007%13 Sept →
dust28–130.0316%13 Sept →
dust26–13-0.0612%13 Sept →
dust211–13-0.069%13 Sept →
dust24–13-0.052%13 Sept →
dust213–10-0.062%11 Sept →
dust23–130.007%11 Sept →
dust21–13-0.120%11 Sept →
dust23–13-0.083%11 Sept →
dust213–3-0.0112%11 Sept →
dust213–6-0.0215%11 Sept →
dust21–13-0.0812%11 Sept →
dust213–9-0.0417%11 Sept →
anubis10–13-0.095%11 Sept →
train10–13-0.087%11 Sept →
dust20–13-0.018%10 Sept →
dust212–120.0512%10 Sept →
dust213–40.1114%10 Sept →
dust24–13-0.0916%10 Sept →
train4–13-0.058%10 Sept →
mirage13–4-0.065%10 Sept →
dust211–13-0.0614%10 Sept →
dust23–13-0.076%10 Sept →
dust20–13-0.098%10 Sept →
dust213–50.0210%9 Sept →
dust212–12-0.0717%9 Sept →
dust211–13-0.073%9 Sept →
dust25–13-0.0918%9 Sept →
dust27–13-0.089%9 Sept →
mirage2–13-0.0517%9 Sept →
mirage13–80.019%9 Sept →
dust213–6-0.064%9 Sept →
dust25–13-0.0612%8 Sept →
dust212–12-0.0310%8 Sept →
dust213–10-0.0715%8 Sept →
dust28–13-0.120%8 Sept →
ancient4–13-0.130%8 Sept →
dust21–13-0.0610%8 Sept →
dust26–13-0.085%8 Sept →
dust212–120.025%8 Sept →
dust213–7-0.0119%8 Sept →
dust213–9-0.0813%8 Sept →
dust24–13-0.064%5 Sept →
dust212–12-0.0519%5 Sept →
mirage5–13-0.053%5 Sept →
mirage13–2-0.0719%5 Sept →
dust28–13-0.103%5 Sept →

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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