jsn07 — CS2 Stats

76561199077564817[U:1:1117299089]

173Tracked matches45%Win rate2021Tracked since
107Hours in CS
CSDB Rating5.9 SolidAggressive Rifler
Premier CS Rating14,650Blue band · top ~30.3% of ranked players (population est.)
CSDB Leaderboard#16451 of 25490 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate56.8%41.7%44.1%above
Shot accuracy5.9%8.8%11.4%5.6% short
Kill/death ratio1.370.971.03above
Match win rate47.0%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

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CSDB.GGjsn07PREMIER14,650 · Blue bandcsdb.gg/stats

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Performance scores

Aim83
Positioning57
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY46513Last 10046%Win rateLWWWLTLWLL

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.3
Aggression7.9
Utility4.7
Positioning5.7
Opening Duels3.9
Clutch2.2

Strong CT-side openerLimited 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.

Your pro match

ropz

Plays most like ropz 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 60% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim8.3
Positioning5.7
Utility4.7
Mechanics7.8
Opening Duels3.9
Win Impact3.3

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time579ms−57ms
first ⅓ avg 637ms → last ⅓ avg 579ms
Headshot accuracy23.6%−0.1%
first ⅓ avg 23.7% → last ⅓ avg 23.6%

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

0.17Best rating — dust2 13–2
131Biggest win — dust2
5Longest win streak
106In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 67% over 9infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB32171553%-0.01
dust2B1991047%0.01
infernoD134931%0.01
nukeC114736%-0.01
ancientD93633%0.01
cacheS96367%0.03
anubisC73443%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,665Lifetime kills
1.37K/D · Top 5% of Blue band
264Matches
47.0%Match win rate · Top 25% of Blue band
56.8%Headshot % · Top 10% of Blue band
5.9%Shot accuracy
718MVPs
107Hours (in match)
169Bombs planted
90Bombs defused

Most-used weapons

Lifetime map wins

440dust2
326inferno
257nuke
17vertigo
9office
9lake
2train
2ar_shoots

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

Faceit stats

Combat

10Matches
50%Win rate
1.40Avg K/D
81.2ADR
54%Headshot %

Clutches & streaks

31%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage367%0.7211.0
Inferno333%1.5717.3
Dust2250%2.1214.5
Nuke1100%1.6418.0
Ancient10%1.2018.0

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.

24.0%Headshot accuracy
35.3%Accuracy (enemy spotted)
33.3%Spray accuracy
85.0%Counter-strafing
7.9°Preaim
578msReaction time
30.8%T opening success
60.0%CT opening success
0.57Enemies flashed / flash
9.3%Flash assists
6.62HE damage / grenade
4.12Flashes / 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 30.8088% — below the 40% mark we flag

Spend your practice time on Inferno

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.1120%7 Aug
ancient13–40.0617%6 Aug
cache13–60.1018%6 Aug
dust213–20.1716%6 Aug
dust27–13-0.0429%6 Aug
inferno15–150.0425%6 Aug
mirage10–130.0610%5 Aug
anubis13–70.0915%3 Aug
dust24–13-0.0213%3 Aug
cache7–13-0.0231%3 Aug
inferno10–130.0137%3 Aug
mirage3–9-0.0346%3 Aug
mirage16–120.0525%3 Aug
cache6–130.0438%3 Aug
mirage7–13-0.0729%2 Aug
ancient2–13-0.0532%2 Aug
mirage13–7-0.0434%2 Aug
dust23–13-0.0333%31 Jul
mirage16–14-0.0231%31 Jul
anubis13–80.0322%31 Jul
cache13–10-0.0719%31 Jul
mirage7–13-0.0913%31 Jul
nuke5–13-0.0929%31 Jul
nuke13–110.0224%31 Jul
inferno13–100.0522%31 Jul
mirage5–13-0.0622%30 Jul
dust211–13-0.0817%30 Jul
ancient7–130.0922%30 Jul
mirage13–110.0016%29 Jul
dust213–20.0625%29 Jul
nuke13–70.0819%29 Jul
mirage14–160.0712%28 Jul
mirage13–50.0319%28 Jul
anubis7–13-0.0116%28 Jul
anubis14–160.0314%28 Jul
mirage6–13-0.0518%28 Jul
dust24–130.0330%28 Jul
ancient6–13-0.0217%23 Jul
mirage5–130.0127%23 Jul
mirage13–5-0.0430%23 Jul
mirage13–11-0.0217%23 Jul
anubis5–130.0424%23 Jul
dust213–50.0039%23 Jul
cache13–20.1016%22 Jul
inferno5–11-0.017%22 Jul
mirage3–130.0346%22 Jul
mirage13–110.0021%22 Jul
ancient7–130.0235%22 Jul
mirage13–9-0.0520%22 Jul
inferno9–130.0418%22 Jul
anubis13–20.0718%22 Jul
ancient9–13-0.0315%22 Jul
mirage3–13-0.0232%20 Jul
dust212–16-0.0126%20 Jul
inferno13–60.0930%20 Jul
inferno7–130.0221%19 Jul
mirage2–13-0.0129%19 Jul
ancient13–90.0321%19 Jul
dust213–90.0129%19 Jul
mirage2–13-0.0331%19 Jul
inferno15–15-0.0333%17 Jul
dust213–10.1332%17 Jul
inferno13–80.0526%17 Jul
cache13–110.0138%17 Jul
anubis2–13-0.1026%17 Jul
mirage13–100.0131%17 Jul
mirage14–160.0718%15 Jul
mirage13–20.0220%15 Jul
cache10–13-0.0320%15 Jul
cache13–60.0916%15 Jul
ancient7–13-0.0122%15 Jul
nuke11–13-0.0028%14 Jul
nuke13–50.0127%14 Jul
dust27–13-0.0129%14 Jul
nuke3–13-0.0525%14 Jul
inferno2–8-0.0320%14 Jul
mirage13–50.0321%14 Jul
dust213–11-0.0427%14 Jul
ancient13–10-0.0216%14 Jul
mirage8–13-0.0725%14 Jul
cache13–100.0228%14 Jul
mirage10–13-0.0415%14 Jul
dust213–11-0.0220%13 Jul
nuke4–13-0.0316%13 Jul
dust25–13-0.0319%12 Jul
mirage13–11-0.0119%12 Jul
nuke3–13-0.0520%12 Jul
dust28–1-0.0333%12 Jul
nuke11–130.0718%10 Jul
dust215–150.0029%10 Jul
nuke13–70.0225%10 Jul
nuke4–13-0.0520%10 Jul
mirage13–10-0.0142%10 Jul
mirage13–110.0028%10 Jul
mirage13–40.0226%10 Jul
dust213–80.0934%10 Jul
mirage13–3-0.0123%10 Jul
inferno13–16-0.0019%10 Jul
inferno13–8-0.0418%10 Jul
dust213–16-0.0232%10 Jul

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 →