Jack Lee — CS2 Stats

76561198339215203[U:1:378949475]

310Tracked matches52%Win rate2021Tracked since
322Hours in CS
CSDB Rating4.3 Developing
Premier CS Rating15,486Purple band · top ~26.5% of ranked players (population est.)
CSDB Leaderboard#31956 of 54684 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate41.5%44.2%47.1%5.6% short
Shot accuracy8.6%11.6%12.8%4.2% short
Kill/death ratio0.781.031.080.30 short
Match win rate37.8%45.2%46.6%8.9% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGJack LeePREMIER15,486 · Purple bandcsdb.gg/stats

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Performance scores

Aim55
Positioning41
Utility10

0–100 skill scores via Leetify.

Recent form

STEADY49438Last 10049%Win rateLLWWLWWLLL

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Aim5.5
Aggression4.2
Utility1.0
Positioning4.1
Opening Duels0.2
Clutch6.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 69% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 43% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim5.5
Positioning4.1
Utility1.0
Mechanics6.2
Opening Duels1.6
Win Impact5.6

Composite 4.3/10 (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 rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time625ms+34ms
first ⅓ avg 591ms → last ⅓ avg 625ms
Headshot accuracy19.5%−3.8%
first ⅓ avg 23.3% → last ⅓ avg 19.5%

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.

Highlights

0.21Best rating — inferno 9–2
130Biggest win — anubis
6Longest win streak
L2Current streak
76In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 62% over 21ancientWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB21101148%-0.05
dust2A2113862%-0.03
infernoC1881044%-0.03
anubisC125742%-0.02
ancientC104640%-0.04
nukeC104640%-0.05
overpassB63350%-0.02
train110100%0.01
vertigo110100%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,506Lifetime kills
0.78K/D
837Matches
37.8%Match win rate
41.5%Headshot %
8.6%Shot accuracy
1,574MVPs
322Hours (in match)
301Bombs planted
81Bombs defused

Most-used weapons

Lifetime map wins

1,672dust2
775inferno
617nuke
206vertigo
180train
21cbble
12office
6militia

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

Faceit stats

Combat

3Matches
33%Win rate
0.48Avg K/D
56.7ADR
51%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

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.

19.1%Headshot accuracy
26.9%Accuracy (enemy spotted)
27.4%Spray accuracy
77.7%Counter-strafing
7.4°Preaim
617msReaction time
18.6%T opening success
43.0%CT opening success
0.33Enemies flashed / flash
4.1%Flash assists
3.96HE damage / grenade
0.86Flashes / 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. 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 0.3254 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 18.6159% — below the 40% mark we flag

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0735%18 Mar
ancient10–13-0.0633%18 Mar
dust27–6-0.0313%2 Mar
inferno9–6-0.0333%2 Mar
dust23–13-0.0427%2 Mar
inferno9–7-0.0514%1 Mar
inferno9–60.0519%1 Mar
nuke2–13-0.0833%1 Mar
dust29–13-0.0513%1 Mar
anubis9–13-0.0515%1 Mar
ancient13–10-0.0614%1 Mar
nuke13–3-0.017%1 Mar
inferno3–9-0.0933%28 Feb
overpass5–9-0.1416%28 Feb
inferno9–4-0.1213%28 Feb
inferno9–20.2124%28 Feb
dust212–12-0.0617%28 Feb
ancient3–13-0.0518%28 Feb
train13–100.0121%28 Feb
inferno12–12-0.0715%28 Feb
mirage11–13-0.0919%28 Feb
mirage13–4-0.0621%27 Feb
dust213–60.0114%27 Feb
mirage13–7-0.0530%27 Feb
inferno7–13-0.0329%27 Feb
nuke10–3-0.067%26 Feb
inferno7–13-0.076%26 Feb
dust213–50.0014%24 Feb
nuke13–6-0.0118%24 Feb
nuke12–12-0.0821%22 Feb
ancient11–13-0.0411%22 Feb
overpass13–70.0122%22 Feb
anubis13–70.0316%22 Feb
mirage10–13-0.0729%22 Feb
dust213–4-0.0313%20 Feb
mirage0–13-0.1113%20 Feb
mirage13–5-0.0318%19 Feb
nuke12–12-0.0314%19 Feb
overpass8–13-0.0417%18 Feb
dust27–13-0.0924%18 Feb
dust25–13-0.0716%18 Feb
ancient13–11-0.0736%14 Feb
inferno13–10-0.0426%14 Feb
mirage8–13-0.0011%14 Feb
dust213–11-0.0340%13 Feb
overpass13–10-0.0421%13 Feb
mirage13–11-0.0622%13 Feb
anubis11–13-0.0216%13 Feb
overpass9–40.0832%13 Feb
anubis12–12-0.076%13 Feb
mirage12–12-0.1028%13 Feb
dust213–5-0.040%13 Feb
dust213–8-0.0519%13 Feb
inferno13–8-0.0027%13 Feb
inferno2–13-0.098%13 Feb
mirage2–130.0119%13 Feb
vertigo13–7-0.0432%13 Feb
mirage13–110.0338%12 Feb
dust213–60.0750%12 Feb
dust213–8-0.060%12 Feb
inferno8–8-0.0433%12 Feb
inferno8–13-0.0418%11 Feb
nuke13–6-0.0922%11 Feb
overpass11–13-0.0218%11 Feb
ancient4–13-0.0617%10 Feb
mirage0–13-0.0817%10 Feb
anubis4–13-0.0516%9 Feb
inferno12–12-0.0644%9 Feb
dust22–13-0.0526%9 Feb
dust213–50.0417%8 Feb
nuke9–13-0.0429%8 Feb
ancient7–13-0.0528%8 Feb
anubis9–13-0.0716%8 Feb
dust213–90.0130%8 Feb
dust26–13-0.0525%7 Feb
mirage16–13-0.0122%7 Feb
inferno13–11-0.0034%7 Feb
inferno10–13-0.0713%7 Feb
dust213–6-0.040%7 Feb
nuke8–13-0.095%6 Feb
dust27–13-0.0614%6 Feb
mirage7–13-0.1236%6 Feb
anubis2–13-0.0629%6 Feb
anubis3–13-0.0533%5 Feb
anubis13–00.0140%5 Feb
ancient13–8-0.0125%5 Feb
dust213–8-0.0722%5 Feb
nuke8–13-0.0311%2 Feb
mirage13–9-0.0314%2 Feb
anubis13–10.0644%2 Feb
mirage13–40.0127%1 Feb
ancient13–100.0013%1 Feb
mirage13–8-0.0414%1 Feb
anubis13–60.0114%1 Feb
ancient1–90.0514%1 Feb
mirage10–13-0.058%1 Feb
anubis13–40.0610%1 Feb
inferno5–13-0.0239%1 Feb
mirage11–13-0.0327%1 Feb
mirage13–2-0.0245%1 Feb

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 →