JASON BOURNE

JASON BOURNE — CS2 Stats

BQ76561199144912680[U:1:1184646952]Steam profile ↗

354Tracked matches50%Win rate2021Tracked since
423Hours in CS
CSDB Rating5.5 SolidHybrid Rifler
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 medianLevel 9 medianvs Level 9
Headshot rate42.5%47.0%48.5%6.0% short
Shot accuracy19.8%12.7%13.3%above
Kill/death ratio1.341.071.07above
Match win rate57.5%46.4%47.0%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJASON BOURNEFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim68
Positioning57
Utility40

0–100 skill scores via Leetify.

Recent form

HOT53443Last 10053%Win rateLLLWWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

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

Aim6.8
Aggression5.8
Utility4.0
Positioning5.7
Opening Duels1.1
Clutch3.6

Strong CT-side opener

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, positioning profile.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 49% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 555ms 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

Aim6.8
Positioning5.7
Utility4.0
Mechanics6.3
Opening Duels2.4
Win Impact5.0

Composite 5.5/10 (Solid), 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 rating0.03−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time547ms−50ms
first ⅓ avg 597ms → last ⅓ avg 547ms
Headshot accuracy14.3%−2.1%
first ⅓ avg 16.3% → last ⅓ avg 14.3%

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

0.22Best rating — mirage 9–2
130Biggest win — overpass
7Longest win streak
L3Current streak
87In matches decided by ≤2 rounds
31Overtime games

Map breakdown

infernoBest map · 69% over 26anubisWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB28141450%0.07
infernoS2618869%0.04
ancientB178947%0.02
overpassA106460%0.02
vertigoB63350%-0.02
anubisC52340%-0.03
dust242250%0.05
nuke4040%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,501Lifetime kills
1.34K/D · Top 25% of Level 8 players
836Matches
57.5%Match win rate · Top 5% of Level 8 players
42.5%Headshot %
19.8%Shot accuracy · Top 5% of Level 8 players
3,388MVPs
423Hours (in match)
1,429Bombs planted
328Bombs defused

Most-used weapons

AK-478,184
AWP1,995
MP9643
Knife326

Lifetime map wins

2,451inferno
844dust2
324nuke
310vertigo
139train
11lake
1office

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

Faceit stats

Combat

173Matches
58%Win rate
1.40Avg K/D
87.2ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage875%1.4918.3
Inferno367%1.2421.7
Dust2367%1.2617.3
Ancient2100%1.2818.0
Vertigo2100%1.3318.0
Anubis250%0.7413.5
Nuke1100%2.2022.0

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.

14.1%Headshot accuracy
35.7%Accuracy (enemy spotted)
39.4%Spray accuracy
78.4%Counter-strafing
10.6°Preaim
555msReaction time
19.4%T opening success
49.2%CT opening success
0.63Enemies flashed / flash
2.7%Flash assists
12.54HE damage / grenade
9.81Flashes / 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. 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 14.1085% — 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 19.3545% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0317%5 Dec
mirage13–16-0.0214%2 Dec
ancient2–13-0.0411%2 Dec
ancient13–5-0.0019%2 Dec
overpass7–40.1018%2 Dec
inferno13–6-0.037%1 Dec
mirage13–30.0622%1 Dec
mirage13–70.1313%9 Nov
mirage13–90.128%8 Nov
dust213–10.1312%8 Nov
overpass4–13-0.027%8 Nov
mirage8–130.0214%25 Sept
inferno4–13-0.0415%18 Sept
dust210–130.039%15 Sept
mirage13–80.0923%15 Sept
inferno11–6-0.0618%14 Sept
mirage14–160.039%11 Sept
mirage10–130.0416%8 Sept
vertigo13–70.0112%14 Jun
mirage13–80.0713%7 May
ancient5–13-0.016%30 Jan
anubis13–10-0.0015%30 Jan
ancient9–13-0.0314%24 Jan
mirage11–130.0812%22 Jan
mirage13–160.1015%22 Jan
inferno7–130.0115%22 Jan
ancient9–13-0.0117%22 Jan
inferno13–60.1921%21 Jan
inferno16–140.0520%21 Jan
inferno13–70.0215%21 Jan
overpass0–13-0.0410%20 Jan
inferno16–140.0620%20 Jan
nuke10–130.0416%20 Jan
mirage13–70.0117%20 Jan
inferno13–160.0115%20 Jan
overpass16–130.0114%18 Jan
mirage16–130.0119%17 Jan
ancient12–16-0.0015%17 Jan
inferno7–130.0410%16 Jan
ancient5–130.0216%16 Jan
mirage2–13-0.0716%16 Jan
mirage13–16-0.0012%14 Jan
ancient13–60.0511%12 Jan
mirage15–150.0616%12 Jan
overpass7–130.0225%12 Jan
inferno13–11-0.028%12 Jan
inferno10–130.0613%12 Jan
inferno13–30.0433%12 Jan
overpass1–130.0013%17 Dec
ancient13–7-0.0013%17 Dec
inferno13–6-0.0212%17 Dec
mirage13–10.1918%17 Dec
anubis8–13-0.0417%17 Dec
ancient13–40.1118%14 Dec
vertigo16–120.035%3 Dec
nuke2–130.039%27 Nov
anubis4–13-0.1710%27 Nov
overpass13–7-0.0419%27 Nov
ancient6–130.0215%26 Nov
mirage11–130.1516%26 Nov
vertigo4–13-0.0320%25 Nov
overpass13–100.0414%25 Nov
inferno13–50.0523%25 Nov
overpass13–30.0423%25 Nov
inferno13–110.0714%25 Nov
ancient11–130.0520%24 Nov
ancient13–6-0.0117%24 Nov
mirage13–20.0813%24 Nov
vertigo13–8-0.0317%24 Nov
ancient13–110.0922%23 Nov
inferno13–60.1433%23 Nov
mirage13–50.0522%22 Nov
nuke9–130.0124%22 Nov
inferno13–9-0.0815%20 Nov
ancient13–30.015%18 Nov
ancient14–160.0516%16 Nov
anubis15–150.0111%12 Nov
overpass13–00.1412%12 Nov
nuke6–130.0121%12 Nov
inferno16–140.1010%12 Nov
mirage14–160.0121%12 Nov
inferno8–130.034%26 Sept
vertigo3–13-0.0821%26 Sept
mirage9–20.2219%3 Sept
mirage5–90.1312%3 Sept
anubis16–70.0515%26 Aug
inferno15–150.1017%26 Aug
mirage5–160.0918%22 Aug
mirage16–100.1013%29 Jun
inferno20–220.1118%28 Jun
dust216–140.0626%27 Jun
vertigo8–160.0016%27 Jun
inferno16–90.0418%23 May
ancient16–130.0614%22 May
mirage1–16-0.0310%22 May
inferno16–110.0320%22 May
mirage22–200.0418%17 May
inferno16–110.0515%17 May
inferno16–110.0715%17 May
mirage16–30.119%17 May

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 →