Mary Jane — CS2 Stats

76561199052713580[U:1:1092447852]

2,003Tracked matches57%Win rate2020Tracked since
4,437Hours in CS14Hrs last 2 wks
CSDB Rating5.0 Developing
Premier CS Rating18,468Purple band · top ~14.6% of ranked players (population est.)
CSDB Leaderboard#12001 of 23660 tracked
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 rate47.2%44.1%47.2%meets
Shot accuracy10.8%11.4%12.7%1.9% short
Kill/death ratio0.851.031.090.23 short
Match win rate45.0%45.2%46.6%1.6% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGMary JanePREMIER18,468 · Purple bandcsdb.gg/stats

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Performance scores

Aim57
Positioning46
Utility59

0–100 skill scores via Leetify.

Recent form

COLD58375Last 10058%Win rateWWLLWLTTLL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim5.7
Aggression5.0
Utility5.9
Positioning4.6
Opening Duels0.2
Clutch2.6

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 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Areas to improve

Reaction time. 580ms 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

Aim5.7
Positioning4.6
Utility5.9
Mechanics4.1
Opening Duels0.8
Win Impact7.4

Composite 5.0/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time586ms−66ms
first ⅓ avg 652ms → last ⅓ avg 586ms
Headshot accuracy18.4%−0.8%
first ⅓ avg 19.2% → last ⅓ avg 18.4%

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

0.12Best rating — dust2 13–4
131Biggest win — cache
8Longest win streak
W2Current streak
125In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 80% over 5infernoWeakest map · 50% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA38221658%-0.02
dust2A2011955%-0.01
cacheA117464%0.00
infernoB105550%-0.02
anubisS75271%0.02
nukeB63350%0.00
ancientS54180%-0.01
overpass1010%0.04
shelter1010%-0.06
fachwerk110100%0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

98,092Lifetime kills
0.85K/D
5,567Matches
45.0%Match win rate
47.2%Headshot % · Top 50% of Purple band
10.8%Shot accuracy
11,824MVPs
2,395Hours (in match)
7,029Bombs planted
1,506Bombs defused

Most-used weapons

AK-4734,164
AWP10,409
MP93,176
MAC-102,891
FAMAS2,201

Lifetime map wins

13,164dust2
5,531inferno
2,635nuke
1,185train
1,170vertigo
398cbble
238office
61italy

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

Faceit stats

Combat

525Matches
50%Win rate
0.94Avg K/D
74.7ADR
45%Headshot %

Clutches & streaks

33%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage12653%0.9715.2
Dust28754%1.0314.5
Anubis5145%1.0015.3
Ancient3549%1.0115.3
Inferno3435%0.9113.0
Nuke3361%0.9814.4
Overpass743%1.0315.6
Train560%1.0621.8

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.

18.0%Headshot accuracy
31.6%Accuracy (enemy spotted)
31.9%Spray accuracy
68.5%Counter-strafing
8.7°Preaim
580msReaction time
25.7%T opening success
36.2%CT opening success
0.58Enemies flashed / flash
8.6%Flash assists
12.67HE damage / grenade
8.61Flashes / 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

    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 25.7182% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage16–14-0.0520%28 Aug
inferno9–30.0522%28 Aug
cache6–13-0.0724%27 Aug
inferno5–13-0.047%24 Aug
cache13–10.1134%24 Aug
cache8–130.0118%24 Aug
anubis15–150.0317%23 Aug
overpass8–80.0424%23 Aug
ancient9–13-0.0521%20 Aug
mirage9–130.0620%19 Aug
dust213–70.0713%19 Aug
mirage13–110.0017%18 Aug
dust28–13-0.0514%18 Aug
mirage13–160.0115%18 Aug
nuke9–50.0517%18 Aug
dust28–13-0.0121%17 Aug
mirage15–15-0.0711%17 Aug
mirage9–13-0.0023%16 Aug
anubis13–10-0.0111%15 Aug
dust213–1-0.0113%15 Aug
mirage8–13-0.0923%14 Aug
anubis13–110.0120%14 Aug
mirage13–70.0513%13 Aug
nuke13–8-0.0621%13 Aug
dust213–90.0119%13 Aug
anubis4–130.0119%12 Aug
mirage13–50.0611%12 Aug
dust213–4-0.0522%11 Aug
ancient13–7-0.0422%11 Aug
cache13–50.0015%11 Aug
mirage13–160.0319%11 Aug
cache13–9-0.0522%10 Aug
mirage13–8-0.0316%10 Aug
dust26–130.0122%10 Aug
dust213–40.1235%10 Aug
mirage11–13-0.0021%10 Aug
cache7–130.0732%10 Aug
mirage13–10-0.0414%10 Aug
mirage13–110.0423%10 Aug
mirage12–160.0021%9 Aug
anubis13–20.0822%9 Aug
mirage13–7-0.0511%7 Aug
dust26–13-0.0533%6 Aug
cache6–13-0.0525%6 Aug
inferno13–10-0.0226%6 Aug
dust213–1-0.0028%5 Aug
dust213–90.0533%4 Aug
mirage13–110.0123%4 Aug
mirage13–90.0418%3 Aug
shelter4–13-0.0614%2 Aug
fachwerk13–90.1013%2 Aug
mirage8–13-0.0517%1 Aug
cache13–10-0.008%1 Aug
mirage13–110.0121%31 Jul
mirage8–13-0.0919%31 Jul
dust212–120.0020%31 Jul
inferno11–13-0.0411%29 Jul
mirage8–13-0.048%28 Jul
inferno13–80.0310%25 Jul
inferno15–15-0.0616%25 Jul
dust213–3-0.0413%24 Jul
inferno13–10-0.0331%24 Jul
dust213–10-0.048%22 Jul
dust212–16-0.0718%22 Jul
dust29–13-0.0714%22 Jul
mirage13–11-0.0319%21 Jul
mirage11–13-0.1010%20 Jul
inferno13–6-0.046%20 Jul
mirage13–8-0.0514%20 Jul
anubis13–8-0.0027%19 Jul
ancient13–80.0220%19 Jul
ancient13–6-0.0112%17 Jul
nuke13–10-0.0012%17 Jul
mirage13–7-0.0110%16 Jul
cache13–10-0.0018%16 Jul
inferno11–13-0.0617%16 Jul
mirage13–3-0.0128%16 Jul
dust213–11-0.0517%15 Jul
cache13–80.0217%14 Jul
mirage13–90.0023%14 Jul
mirage13–70.1022%12 Jul
mirage10–13-0.0310%12 Jul
mirage13–70.0332%12 Jul
mirage16–12-0.0316%11 Jul
nuke8–13-0.0717%11 Jul
mirage13–11-0.0314%11 Jul
anubis13–100.0521%11 Jul
mirage8–13-0.0520%11 Jul
mirage13–11-0.044%11 Jul
nuke8–130.0423%11 Jul
ancient13–110.0129%10 Jul
nuke11–130.0725%10 Jul
dust25–130.0428%10 Jul
mirage9–13-0.0519%10 Jul
mirage13–8-0.0712%8 Jul
dust29–130.0029%7 Jul
cache13–10-0.0310%6 Jul
dust213–11-0.0131%6 Jul
mirage7–13-0.0416%6 Jul
inferno7–13-0.0234%5 Jul

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 →