Jakk O'Donnell

Jakk O'Donnell — CS2 Stats

76561198319478141[U:1:359212413]Steam profile ↗

1,268Tracked matches55%Win rate2023Tracked since
CSDB Rating7.3 StrongEntry Fragger
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGJakk O'DonnellFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning75
Utility66

0–100 skill scores via Leetify.

Recent form

HOT49447Last 10049%Win rateWWWWWLWLLW

Last 10 vs previous 10: +20pp win rate · -0.03 avg rating

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim8.1
Aggression10.0
Utility6.6
Positioning7.5
Opening Duels6.8
Clutch2.6

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

s1mple

Plays most like s1mple 96% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 76% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 76% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim8.1
Positioning7.5
Utility6.6
Mechanics7.2
Opening Duels6.0
Win Impact6.7

Composite 7.3/10 (Strong), 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 rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time593ms+2ms
first ⅓ avg 591ms → last ⅓ avg 593ms
Headshot accuracy18.0%+2.0%
first ⅓ avg 15.9% → last ⅓ avg 18.0%

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

0.27Best rating — eldorado 9–4
130Biggest win — cache
5Longest win streak
W5Current streak
43In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 82% over 11ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC167944%0.02
dust2C167944%0.04
nukeC135838%0.02
mirageS119282%0.05
cacheB105550%-0.00
ancientD81713%0.00
anubisC73443%0.00
vertigoS64267%0.09
trainD51420%0.00
overpass330100%0.04
shelter1010%0.01
eldorado110100%0.27
debris110100%0.23
fachwerk110100%0.02
warden110100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

17Matches
35%Win rate
0.83Avg K/D
81.5ADR
37%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage633%0.9011.5
Anubis250%0.8413.5
Vertigo250%0.7411.5
Ancient250%0.7615.5
Overpass10%0.406.0
Nuke1100%0.9211.0
Dust210%1.0618.0
Inferno10%0.9415.0

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.

18.0%Headshot accuracy
39.2%Accuracy (enemy spotted)
42.7%Spray accuracy
82.4%Counter-strafing
9.5°Preaim
594msReaction time
38.0%T opening success
76.4%CT opening success
0.62Enemies flashed / flash
8.1%Flash assists
7.61HE damage / grenade
16.39Flashes / 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 37.9638% — below the 40% mark we flag

Spend your practice time on Ancient

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–4-0.0416%4 Aug
inferno13–10.1017%4 Aug
dust213–80.0628%4 Aug
mirage13–20.1414%4 Aug
nuke13–70.0621%4 Aug
nuke6–130.0519%4 Aug
cache13–40.0530%4 Aug
nuke4–13-0.0714%3 Aug
shelter10–130.0126%3 Aug
dust213–90.0315%2 Aug
mirage10–130.0321%2 Aug
dust213–70.019%2 Aug
nuke13–60.1221%2 Aug
eldorado9–40.2720%1 Aug
debris9–70.2319%1 Aug
ancient3–13-0.0532%31 Jul
inferno6–13-0.0610%31 Jul
inferno5–13-0.0323%31 Jul
dust213–50.0814%31 Jul
nuke7–130.0519%31 Jul
anubis13–90.0315%28 Jul
nuke7–130.0527%28 Jul
inferno13–100.0022%28 Jul
mirage3–130.0513%28 Jul
dust215–150.0915%28 Jul
inferno7–13-0.0211%28 Jul
dust27–13-0.0813%28 Jul
mirage16–13-0.0012%27 Jul
train9–13-0.0220%23 Jul
vertigo13–40.1822%23 Jul
mirage13–80.0812%23 Jul
nuke13–90.0016%23 Jul
ancient4–13-0.0511%23 Jul
dust213–30.1026%23 Jul
overpass13–80.0917%23 Jul
anubis13–50.059%20 Jul
inferno13–10.1522%18 Jul
dust210–130.1015%18 Jul
nuke12–120.0413%18 Jul
anubis8–130.0024%13 Jul
nuke12–12-0.0422%13 Jul
inferno13–50.017%13 Jul
fachwerk13–80.0229%13 Jul
cache11–13-0.0224%13 Jul
overpass13–40.0311%12 Jul
nuke11–13-0.0118%12 Jul
ancient1–13-0.0730%12 Jul
dust26–130.1333%12 Jul
train13–90.0513%12 Jul
ancient13–100.0413%7 Jul
overpass13–11-0.0113%6 Jul
inferno13–50.0116%6 Jul
vertigo2–00.03100%6 Jul
ancient5–13-0.065%6 Jul
train10–13-0.079%6 Jul
inferno12–120.0010%6 Jul
mirage13–100.0411%6 Jul
cache8–13-0.0010%6 Jul
dust210–130.0031%5 Jul
dust212–120.1415%5 Jul
inferno4–130.0016%5 Jul
dust213–6-0.0016%5 Jul
ancient8–130.129%4 Jul
cache13–00.1230%4 Jul
inferno9–130.0721%4 Jul
dust26–13-0.0218%4 Jul
cache13–8-0.0117%3 Jul
anubis10–13-0.0016%3 Jul
inferno5–13-0.0110%3 Jul
nuke5–130.0115%3 Jul
train6–130.0518%3 Jul
mirage13–100.0718%3 Jul
ancient9–130.0220%3 Jul
warden13–90.0313%3 Jul
cache13–5-0.0115%2 Jul
mirage13–9-0.0218%2 Jul
inferno13–60.0311%2 Jul
vertigo10–130.0518%2 Jul
vertigo9–60.2612%2 Jul
inferno13–8-0.0214%2 Jul
anubis5–130.0322%2 Jul
cache4–13-0.0410%2 Jul
vertigo12–12-0.0410%2 Jul
dust212–12-0.058%2 Jul
mirage13–60.119%2 Jul
nuke13–80.0416%2 Jul
inferno9–130.0911%2 Jul
anubis7–13-0.0416%2 Jul
vertigo13–70.0615%2 Jul
ancient7–130.0421%1 Jul
inferno4–130.0113%1 Jul
dust28–130.0713%1 Jul
train4–130.0133%1 Jul
cache11–13-0.0317%1 Jul
dust213–10.0625%30 Jun
nuke13–11-0.0222%30 Jun
mirage13–90.0821%30 Jun
cache8–13-0.0722%30 Jun
mirage13–4-0.039%30 Jun
cache13–10-0.0515%29 Jun

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 →