杰森·斯坦森

杰森·斯坦森 — CS2 Stats

76561198819673355[U:1:859407627]Steam profile ↗✓ No bans

664Tracked matches43%Win rate2023Tracked since
CSDB Rating3.1 Learning
Premier CS Rating6,858Light Blue band · top ~69.9% of ranked players (population est.)
CSDB Leaderboard#41505 of 55169 tracked
FaceitLevel 3 · 942 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG杰森·斯坦森FACEITLevel 3 · 942 ELOSTANDINGTop 90.6% of rankedPREMIER6,858 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim31
Positioning40
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY39592Last 10039%Win rateWLWLLWLWWL

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Aim3.1
Aggression4.0
Utility5.8
Positioning4.0
Opening Duels0.0
Clutch3.0

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 73% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 642ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.1
Positioning4.0
Utility5.8
Mechanics3.9
Opening Duels0.2
Win Impact2.8

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time629ms−2ms
first ⅓ avg 631ms → last ⅓ avg 629ms
Headshot accuracy8.8%+2.1%
first ⅓ avg 6.7% → last ⅓ avg 8.8%

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

0.07Best rating — dust2 13–2
132Biggest win — cache
4Longest win streak
68In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 47% over 38anubisWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B38182047%-0.03
ancientC1761135%-0.03
anubisD1751229%-0.03
nukeD1441029%-0.02
mirageC83538%-0.03
inferno42250%-0.00
cache21150%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

511Matches
48%Win rate
0.97Avg K/D
75.6ADR
28%Headshot %

Clutches & streaks

35%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust217648%0.9713.8
Ancient10148%0.9414.5
Mirage8954%1.0713.5
Nuke5446%0.8913.0
Inferno4842%0.9813.8
Anubis2948%0.8712.9
Overpass1155%1.1115.6
Train30%0.7513.0

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.

8.9%Headshot accuracy
29.6%Accuracy (enemy spotted)
32.1%Spray accuracy
67.6%Counter-strafing
10.0°Preaim
642msReaction time
25.8%T opening success
31.4%CT opening success
0.60Enemies flashed / flash
3.1%Flash assists
6.00HE damage / grenade
17.07Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 8.9232% — below the 15% mark we flag

    Aim Training
  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 25.8184% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–6-0.018%23 Aug
dust27–13-0.0415%23 Aug
dust213–7-0.0311%6 Aug
inferno2–9-0.013%27 Jul
ancient7–13-0.0014%27 Jul
mirage13–3-0.0714%27 Jul
ancient11–13-0.029%25 Jul
nuke13–11-0.072%24 Jul
dust213–40.0511%24 Jul
dust210–13-0.035%22 Jul
anubis11–13-0.004%22 Jul
dust29–13-0.019%22 Jul
anubis13–70.014%20 Jul
nuke7–13-0.022%19 Jul
dust212–160.0119%19 Jul
dust23–13-0.0622%19 Jul
ancient8–13-0.027%19 Jul
dust213–100.026%17 Jul
nuke5–130.019%17 Jul
mirage8–13-0.079%16 Jul
dust28–130.0213%16 Jul
anubis13–11-0.079%15 Jul
dust213–9-0.048%15 Jul
cache13–20.0611%14 Jul
inferno13–70.0310%13 Jul
dust27–13-0.0814%11 Jul
dust219–22-0.037%5 Jul
dust213–100.003%4 Jul
ancient4–13-0.045%4 Jul
dust213–6-0.140%4 Jul
dust213–70.0315%3 Jul
nuke9–13-0.017%1 Jul
anubis3–13-0.035%1 Jul
dust29–13-0.038%1 Jul
mirage13–60.019%27 Jun
dust23–130.016%24 Jun
ancient9–13-0.0211%9 Jun
nuke6–13-0.062%7 Jun
mirage4–130.0110%7 Jun
dust213–80.048%6 Jun
nuke13–110.019%6 Jun
mirage15–15-0.088%6 Jun
dust27–13-0.095%26 May
anubis5–13-0.055%25 May
dust213–20.0713%25 May
anubis10–13-0.074%23 May
ancient13–40.054%23 May
dust29–13-0.105%23 May
dust213–110.028%23 May
ancient7–13-0.024%20 May
dust24–13-0.069%20 May
dust25–13-0.073%18 May
dust24–130.019%8 May
nuke4–13-0.068%6 May
anubis9–13-0.0710%6 May
dust213–70.0517%6 May
anubis6–130.0113%4 May
nuke4–13-0.105%2 May
dust213–9-0.029%2 May
cache11–130.0110%1 May
dust213–6-0.0314%1 May
nuke13–160.018%1 May
dust210–13-0.018%30 Apr
ancient13–10-0.114%29 Apr
nuke9–13-0.0111%29 Apr
mirage11–13-0.0112%29 Apr
mirage13–110.019%27 Apr
anubis13–8-0.073%25 Apr
ancient7–13-0.034%25 Apr
dust26–13-0.069%22 Apr
anubis13–4-0.039%21 Apr
anubis9–13-0.048%21 Apr
dust213–10-0.077%21 Apr
ancient13–6-0.038%18 Apr
dust216–130.007%10 Apr
dust213–11-0.0610%5 Apr
anubis11–130.047%5 Apr
ancient13–10-0.088%5 Apr
dust26–13-0.063%5 Apr
inferno14–16-0.027%4 Apr
ancient13–10-0.037%3 Apr
anubis10–13-0.083%2 Apr
mirage5–13-0.023%2 Apr
dust23–13-0.0813%1 Apr
nuke15–150.028%1 Apr
ancient4–13-0.135%31 Mar
anubis9–13-0.016%31 Mar
nuke13–6-0.032%30 Mar
dust213–10-0.039%30 Mar
dust210–13-0.068%30 Mar
nuke5–13-0.017%28 Mar
ancient5–13-0.015%26 Mar
nuke13–100.0210%26 Mar
anubis14–160.022%25 Mar
inferno13–7-0.029%25 Mar
ancient13–70.010%23 Mar
anubis11–13-0.056%23 Mar
ancient8–13-0.013%23 Mar
anubis13–8-0.0116%23 Mar
ancient8–13-0.077%23 Mar

Match data via Leetify.

Recent teammates

Milestones

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