Joboost — CS2 Stats

76561198252399456[U:1:292133728]

848Tracked matches60%Win rate2020Tracked since
4,400Hours in CS24Hrs last 2 wks
CSDB Rating7.1 StrongPositional Player
FaceitLevel 10 · 2,849 ELOTop 12.4% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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 median
Headshot rate56.8%50.9%
Shot accuracy16.9%13.7%
Kill/death ratio1.031.09
Match win rate45.0%48.4%

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CSDB.GGJoboostFACEITLevel 10 · 2,849 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim89
Positioning61
Utility47

0–100 skill scores via Leetify.

Recent form

HOT56–43–1Last 10056%Win rateWWWLWWLWWL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +5.0pp headshot accuracy · +1ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 464ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 458ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 458ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim8.9
Utility4.7
Positioning6.1
Opening Duels4.7
Clutch3.8

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

s1mple

Plays most like s1mple 93% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

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 56% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.9
Positioning6.1
Utility4.7
Mechanics7.8
Opening Duels4.0
Win Impact8.3

Composite 7.1/10 (Strong), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time497ms−42ms
first ⅓ avg 539ms → last ⅓ avg 497ms
Headshot accuracy19.9%+2.9%
first ⅓ avg 17.0% → last ⅓ avg 19.9%

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.

Personal bests

0.14Best match rating · 13–11 · ancient, 10 Sept →
55%Best headshot accuracy · 2–13 · nuke, 10 Sept →
328msFastest reaction time · 13–9 · ancient, 4 Sept →
13–2Biggest win · dust2, 29 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
11–10In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 78% over 9ancientWeakest map · 45% over 22
MapGradePlayedRecordWin rateAvg rating
dust2A2414–1058%0.01
ancientB2210–1245%0.01
mirageB1910–953%0.02
nukeA117–464%0.03
anubisB105–550%-0.01
infernoS97–278%0.02
vertigo—11–0100%0.08
cache—10–10%-0.03
train—11–0100%0.04
grail—10–10%0.08
brewery—11–0100%0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (45% over 22). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

174,493Lifetime kills
1.03K/D
5,621Matches
45.0%Match win rate
56.8%Headshot % · Top 25% of Level 10 players
16.9%Shot accuracy · Top 25% of Level 10 players
17,520MVPs
5,446Hours (in match)
4,607Bombs planted
2,390Bombs defused

Most-used weapons

AK-4773,863
AWP17,476
SG 5533,995
MP92,868
P2502,028

Lifetime map wins

13,872inferno
9,240dust2
2,528vertigo
2,115nuke
1,406train
350cbble
230office
99lake

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

Faceit stats

Combat

886Matches
57%Win rate
1.18Avg K/D
84.9ADR
46%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage15956%1.2418.1
Dust215061%1.0917.3
Ancient12757%1.2418.3
Anubis9149%1.1617.4
Inferno8051%1.1617.5
Nuke4353%1.1616.2
Train1331%1.2720.0
Overpass838%1.0217.9

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.

19.9%Headshot accuracy
37.1%Accuracy (enemy spotted)
38.0%Spray accuracy
85.1%Counter-strafing
7.9°Preaim
485msReaction time
35.6%T opening success
56.1%CT opening success
0.56Enemies flashed / flash
9.8%Flash assists
6.81HE damage / grenade
7.68Flashes / 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 35.5674% — 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.

45% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–6-0.0122%6 Oct →
anubis19–160.0220%2 Oct →
mirage13–90.0025%29 Sept →
anubis11–130.0313%29 Sept →
dust213–2-0.0248%29 Sept →
vertigo13–70.0817%29 Sept →
cache8–13-0.038%29 Sept →
mirage13–60.1329%22 Sept →
anubis16–12-0.0619%11 Sept →
ancient9–130.0312%11 Sept →
ancient11–130.0318%11 Sept →
anubis10–130.0222%11 Sept →
mirage8–13-0.0515%11 Sept →
ancient13–110.1422%10 Sept →
ancient13–9-0.0020%4 Sept →
nuke13–30.1013%4 Sept →
anubis2–13-0.119%3 Sept →
inferno16–120.0021%30 Aug →
anubis13–60.0313%23 Aug →
nuke13–60.068%23 Aug →
mirage13–9-0.0121%17 Aug →
dust24–13-0.0516%17 Aug →
ancient6–13-0.0728%17 Aug →
mirage13–90.0615%4 Jul →
dust29–130.0925%27 Jun →
ancient11–13-0.0321%26 Apr →
nuke11–130.0318%22 Apr →
inferno13–110.0230%22 Apr →
ancient13–70.0528%1 Apr →
dust213–11-0.0224%1 Apr →
dust28–13-0.0819%28 Mar →
dust28–13-0.0721%24 Mar →
dust219–160.0816%10 Nov →
mirage13–40.0921%7 Nov →
nuke9–13-0.0420%28 Oct →
ancient19–170.0116%21 Oct →
mirage13–11-0.0321%11 Oct →
dust26–130.0411%11 Oct →
dust219–160.0316%11 Oct →
nuke13–100.044%11 Oct →
mirage13–160.0425%6 Oct →
dust28–130.0016%6 Oct →
mirage7–130.0125%15 Sept →
dust213–90.0951%15 Sept →
ancient13–30.0633%15 Sept →
nuke2–130.0355%10 Sept →
ancient7–130.0414%9 Sept →
inferno13–100.0232%8 Sept →
dust213–3-0.0229%1 Sept →
mirage11–130.0724%1 Sept →
dust213–30.0021%31 Aug →
inferno13–60.0313%24 Aug →
dust29–130.0522%24 Aug →
mirage10–130.0623%24 Aug →
ancient9–13-0.0415%24 Aug →
ancient11–130.0219%23 Aug →
mirage1–13-0.0425%23 Aug →
ancient8–13-0.0118%18 Aug →
inferno13–50.0134%18 Aug →
ancient13–11-0.0316%18 Aug →
dust213–11-0.0610%7 Jul →
train13–90.0428%7 Jul →
mirage10–13-0.0313%7 Jul →
mirage13–90.0114%7 Jul →
anubis13–11-0.0117%4 Jul →
ancient13–80.048%1 Jul →
dust216–120.0320%1 Jul →
mirage22–190.0916%30 Jun →
inferno13–16-0.0216%28 Jun →
dust213–11-0.0121%28 Jun →
inferno16–140.0515%22 Jun →
ancient14–16-0.0020%20 Jun →
mirage13–16-0.0217%17 Jun →
dust215–150.0016%3 Jun →
mirage13–60.0931%3 Jun →
ancient13–10-0.0213%1 Jun →
dust213–9-0.0125%1 Jun →
grail5–130.0814%14 May →
brewery9–50.1017%14 May →
dust211–130.0914%28 Apr →
nuke13–9-0.018%30 Mar →
dust214–160.0317%29 Mar →
anubis8–130.0325%28 Mar →
mirage13–6-0.0016%28 Mar →
inferno13–20.0420%24 Mar →
inferno9–130.0425%22 Mar →
ancient13–11-0.0111%22 Mar →
mirage8–130.008%21 Mar →
dust213–80.0112%16 Mar →
anubis13–100.0422%12 Mar →
dust213–80.0824%5 Mar →
ancient3–13-0.0511%24 Feb →
dust213–10-0.0013%16 Feb →
ancient3–130.0213%15 Feb →
ancient13–7-0.0213%10 Feb →
ancient10–13-0.018%8 Feb →
nuke13–80.0719%29 Jan →
nuke11–13-0.0117%28 Jan →
nuke13–40.0630%27 Jan →
anubis3–13-0.0715%25 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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