Jack Burton

Jack Burton — CS2 Stats

US76561197975614220[U:1:15348492]Steam profile ↗✓ No bans

1,999Tracked matches46%Win rate2025Tracked since
3,021Hours in CS30Hrs last 2 wks
CSDB Rating5.1 DevelopingSupport
WingmanGold Nova III
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim53
Positioning54
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY50464Last 10050%Win rateLLLLLWWWLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −0.7pp headshot accuracy · +24ms reaction

Win rate down 20pp 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

  • 05 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 664ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 626ms

Last 20

  • 1091 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 614ms

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: SupportUtility contribution stands above the rest of this profile (+1.3 against its own average).

Aim5.3
Utility5.9
Positioning5.4
Opening Duels3.6
Clutch3.6

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 75% 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

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 65% on T to 38% on CT — first contacts on the defending side are being lost.

Reaction time. 605ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.3
Positioning5.4
Utility5.9
Mechanics4.3
Opening Duels5.4
Win Impact3.8

Composite 5.1/10 (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 rating0.02−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time597ms+59ms
first ⅓ avg 538ms → last ⅓ avg 597ms
Headshot accuracy16.9%−1.3%
first ⅓ avg 18.2% → last ⅓ avg 16.9%

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

0.37Best match rating · 13–2 · inferno, 15 Aug
39%Best headshot accuracy · 13–5 · inferno, 9 Sept
375msFastest reaction time · 13–8 · italy, 11 Sept
13–1Biggest win · cache, 14 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
L5Current streak
27In matches decided by ≤2 rounds

Map breakdown

trainBest map · 71% over 7dust2Weakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB126650%0.07
vertigoB115645%0.00
dust2D111109%0.00
officeB105550%0.03
ancientA106460%0.01
fachwerkS96367%0.02
cacheC83538%0.02
trainS75271%-0.01
mirageS64267%0.05
overpassA53260%0.08
anubis42250%0.03
italy42250%-0.01
nuke220100%0.14
shelter1010%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,640Lifetime kills
1.59K/D · Top 5% of tracked players
3,316Matches
46.7%Match win rate · Top 50% of tracked players
46.7%Headshot % · Top 50% of tracked players
0.0%Shot accuracy
8,291MVPs
1,189Hours (in match)
3,542Bombs planted
1,032Bombs defused

Most-used weapons

AK-4723,294
AWP11,707
MAC-104,339
MP73,761
FAMAS2,530
MAG-71,140

Lifetime map wins

3,609inferno
3,020dust2
2,527train
2,306nuke
2,141vertigo
1,214office
796italy
20aztec

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

50Matches
42%Win rate
1.14Avg K/D
86.5ADR
41%Headshot %

Clutches & streaks

38%1v1 clutch win
40%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1145%1.0916.3
Mirage1127%1.0720.4
Ancient956%1.3017.2
Dust2825%1.0215.4
Cache667%1.1615.8
Anubis250%1.2020.0
Nuke1100%1.6418.0
Vertigo10%1.2134.0

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.

17.0%Headshot accuracy
37.1%Accuracy (enemy spotted)
40.4%Spray accuracy
69.4%Counter-strafing
13.6°Preaim
605msReaction time
64.9%T opening success
38.4%CT opening success
0.62Enemies flashed / flash
13.3%Flash assists
9.24HE damage / grenade
5.89Flashes / 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 13.6206° — above the 12° 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.

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo6–130.0120%20 Sept
inferno6–13-0.0411%20 Sept
cache7–130.0124%20 Sept
vertigo11–13-0.0515%18 Sept
dust22–13-0.130%18 Sept
overpass13–40.0413%15 Sept
office13–90.0527%15 Sept
mirage13–80.0314%15 Sept
ancient8–130.0216%15 Sept
nuke13–100.0818%15 Sept
dust210–13-0.0218%15 Sept
cache13–100.0413%15 Sept
inferno13–8-0.0118%15 Sept
cache11–13-0.0215%14 Sept
vertigo12–12-0.0611%14 Sept
anubis3–13-0.0311%14 Sept
cache13–10.0915%14 Sept
inferno13–30.0716%14 Sept
train13–60.0614%14 Sept
italy13–60.0234%14 Sept
fachwerk7–130.1028%14 Sept
office13–80.0621%14 Sept
ancient6–13-0.0912%14 Sept
dust210–130.0621%13 Sept
mirage12–120.0315%13 Sept
ancient1–130.0121%13 Sept
dust25–130.0917%13 Sept
vertigo13–11-0.0017%13 Sept
office10–30.0317%13 Sept
inferno9–130.1215%13 Sept
cache13–70.0323%13 Sept
mirage13–110.0810%13 Sept
fachwerk0–13-0.0519%13 Sept
train13–9-0.0411%12 Sept
overpass8–130.0217%12 Sept
dust22–13-0.0632%12 Sept
office13–80.0817%12 Sept
inferno12–120.0616%12 Sept
ancient13–40.0610%12 Sept
vertigo13–100.0924%12 Sept
cache4–130.009%12 Sept
overpass9–130.0414%11 Sept
fachwerk13–80.1020%11 Sept
italy13–80.0717%11 Sept
inferno13–80.1716%11 Sept
train8–13-0.0013%11 Sept
fachwerk5–1-0.0333%9 Sept
inferno13–50.1139%9 Sept
inferno11–13-0.0612%30 Aug
vertigo8–13-0.0418%30 Aug
office6–13-0.0513%30 Aug
inferno10–13-0.0012%30 Aug
ancient8–40.030%30 Aug
train13–10-0.0530%25 Aug
ancient13–6-0.0519%25 Aug
dust213–90.0325%25 Aug
fachwerk4–13-0.0832%18 Aug
office10–130.0624%18 Aug
cache0–3-0.050%17 Aug
ancient13–20.0213%17 Aug
overpass13–70.1115%17 Aug
train13–40.0322%17 Aug
dust210–13-0.0116%17 Aug
office13–90.0523%17 Aug
fachwerk13–90.1022%16 Aug
vertigo8–30.0220%16 Aug
mirage8–13-0.0518%16 Aug
anubis12–120.0413%16 Aug
mirage13–50.0615%16 Aug
vertigo7–130.0029%16 Aug
train10–13-0.0214%16 Aug
fachwerk13–100.0115%15 Aug
overpass13–10.1715%15 Aug
ancient13–50.0220%15 Aug
inferno13–20.3718%15 Aug
italy0–2-0.210%15 Aug
anubis13–90.0311%15 Aug
cache8–130.1037%15 Aug
mirage13–30.1823%15 Aug
dust27–13-0.0018%15 Aug
vertigo13–60.0515%15 Aug
nuke13–50.2030%14 Aug
office5–13-0.0317%14 Aug
anubis13–50.1013%14 Aug
vertigo10–130.0134%14 Aug
shelter6–130.0417%14 Aug
ancient13–70.0813%14 Aug
fachwerk13–90.019%14 Aug
office11–130.0718%14 Aug
inferno5–13-0.0119%14 Aug
dust25–130.0017%14 Aug
italy11–130.0716%14 Aug
dust211–130.0522%14 Aug
dust22–130.0419%13 Aug
inferno13–80.0318%13 Aug
ancient9–130.018%13 Aug
train13–6-0.0216%13 Aug
fachwerk13–30.0619%13 Aug
vertigo13–7-0.0121%13 Aug
office6–13-0.0333%13 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →