Jase — CS2 Stats

76561198810994556[U:1:850728828]

1,124Tracked matches50%Win rate2020Tracked since
1,651Hours in CS16Hrs last 2 wks
CSDB Rating6.4 SolidPassive Rifler
Premier CS Rating22,877Top 50% of 819 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)
CSDB Leaderboard#2497 of 8623 tracked
FaceitLevel 9 · 1,932 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 playerLevel 10 medianvs Level 10
Headshot rate57.2%52.8%above
Shot accuracy10.9%13.7%2.8% short
Kill/death ratio0.961.080.12 short
Match win rate50.3%49.2%above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJaseFACEITLevel 9 · 1,932 ELOSTANDINGTop 20.7% of rankedPREMIER22,877 · Pink bandcsdb.gg/stats

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Performance scores

Aim85
Positioning52
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY56404Last 10056%Win rateLWWLLTWTWW

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim8.5
Aggression4.3
Utility4.8
Positioning5.2
Opening Duels1.2
Clutch4.0

Sharp aimerExcellent counter-strafingEffective flashes

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 91% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

Reaction time. 615ms 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

Aim8.5
Positioning5.2
Utility4.8
Mechanics8.9
Opening Duels1.3
Win Impact5.0

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time622ms−33ms
first ⅓ avg 656ms → last ⅓ avg 622ms
Headshot accuracy24.1%+0.3%
first ⅓ avg 23.8% → last ⅓ avg 24.1%

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

0.14Best rating — anubis 13–6
130Biggest win — ancient
8Longest win streak
79In matches decided by ≤2 rounds
17Overtime games

Map breakdown

anubisBest map · 75% over 12nukeWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
ancientS2416867%0.01
mirageA22121055%0.00
dust2B189950%0.02
nukeD124833%0.01
anubisS129375%0.04
infernoS96367%-0.01
cache3030%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,616Lifetime kills
0.96K/D
1,554Matches
50.3%Match win rate · Top 25% of Pink band
57.2%Headshot % · Top 25% of Pink band
10.9%Shot accuracy
3,923MVPs
1,213Hours (in match)
1,795Bombs planted
418Bombs defused

Most-used weapons

Lifetime map wins

3,257inferno
939dust2
914nuke
872vertigo
100train
20cbble
12assault
11italy

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

Faceit stats

Combat

454Matches
52%Win rate
1.13Avg K/D
79.9ADR
57%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage9459%1.1417.1
Ancient5645%1.1616.5
Inferno4048%1.1216.1
Dust23348%1.0416.3
Nuke2952%1.2417.6
Anubis2759%1.2816.7
Vertigo1856%1.3021.1
Overpass1060%1.2820.3

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.

24.5%Headshot accuracy
36.9%Accuracy (enemy spotted)
36.0%Spray accuracy
90.0%Counter-strafing
8.9°Preaim
615msReaction time
28.7%T opening success
40.7%CT opening success
0.70Enemies flashed / flash
3.3%Flash assists
8.11HE damage / grenade
6.81Flashes / 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 28.7442% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0025%27 Aug
ancient13–00.0436%27 Aug
nuke13–40.0525%27 Aug
dust213–160.0628%26 Aug
mirage6–130.0114%23 Aug
ancient15–150.0718%19 Aug
ancient13–100.0231%19 Aug
nuke15–150.0936%19 Aug
nuke13–70.0127%19 Aug
ancient13–8-0.0021%18 Aug
nuke13–50.1228%18 Aug
anubis8–130.0915%14 Aug
anubis16–130.0822%14 Aug
nuke9–13-0.0720%13 Aug
dust213–10-0.0428%13 Aug
ancient13–11-0.0220%13 Aug
inferno5–13-0.0730%13 Aug
ancient7–13-0.0417%12 Aug
mirage11–13-0.0029%12 Aug
inferno13–10-0.0410%11 Aug
ancient10–130.0429%11 Aug
anubis13–60.0038%11 Aug
anubis10–130.0127%10 Aug
ancient13–70.0218%10 Aug
mirage13–50.0915%10 Aug
nuke5–130.0228%9 Aug
mirage14–16-0.0230%8 Aug
dust29–13-0.0024%7 Aug
mirage16–120.0125%5 Aug
ancient10–130.0623%5 Aug
dust215–150.0021%5 Aug
ancient13–60.0221%5 Aug
dust213–40.0317%4 Aug
cache11–13-0.0329%4 Aug
mirage11–13-0.0722%4 Aug
nuke13–11-0.0124%3 Aug
dust26–13-0.0630%3 Aug
mirage22–180.0820%1 Aug
anubis10–13-0.0624%31 Jul
mirage13–10-0.0720%31 Jul
mirage7–130.0033%30 Jul
mirage13–50.0632%30 Jul
anubis13–70.0431%30 Jul
anubis13–40.0731%30 Jul
mirage16–14-0.0120%30 Jul
mirage10–13-0.0327%28 Jul
ancient13–2-0.0530%27 Jul
mirage11–130.0124%19 Jul
mirage11–13-0.0518%18 Jul
nuke14–16-0.0115%16 Jul
ancient13–70.0721%13 Jul
mirage13–90.0421%9 Jul
cache9–130.0119%9 Jul
inferno13–100.0523%9 Jul
mirage13–50.0146%9 Jul
dust213–80.0724%9 Jul
cache9–130.0922%9 Jul
anubis13–60.1435%7 Jul
dust216–130.0021%4 Jul
dust216–120.0219%3 Jul
ancient8–13-0.0613%3 Jul
ancient13–4-0.0232%1 Jul
inferno5–130.0138%1 Jul
dust27–130.0430%1 Jul
inferno13–100.0126%1 Jul
mirage13–8-0.0430%30 Jun
inferno13–100.0227%30 Jun
dust25–13-0.0522%30 Jun
inferno13–8-0.0522%28 Jun
ancient13–40.0336%28 Jun
dust213–10.0939%28 Jun
nuke7–130.0123%26 Jun
nuke6–130.0013%26 Jun
mirage13–70.0225%26 Jun
mirage10–13-0.0318%24 Jun
ancient9–130.0120%23 Jun
dust213–90.0131%23 Jun
mirage13–50.0827%23 Jun
anubis13–9-0.0215%20 Jun
anubis13–100.0625%20 Jun
ancient15–150.0522%19 Jun
ancient13–60.0329%19 Jun
dust26–13-0.0239%19 Jun
mirage13–5-0.0317%18 Jun
nuke1–7-0.140%18 Jun
ancient16–14-0.0125%17 Jun
dust213–90.0120%16 Jun
ancient13–3-0.0417%15 Jun
dust213–60.0728%11 Jun
anubis13–110.0418%11 Jun
anubis13–10-0.0127%3 Jun
inferno13–60.0434%3 Jun
ancient13–110.0123%3 Jun
mirage11–130.0317%3 Jun
nuke8–130.0527%30 May
ancient13–90.1133%30 May
inferno13–16-0.0221%29 May
dust213–160.1129%28 May
ancient13–110.0315%27 May
ancient14–16-0.0425%26 May

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 →