JuusoB

JuusoB — CS2 Stats

FI76561198134407788[U:1:174142060]Steam profile ↗✓ No bans

1,024Tracked matches62%Win rate2020Tracked since
CSDB Rating6.4 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (55 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 1,024
+6.9ppWin rate · 55.2% → 62.1%

Rating over time

Premier CS Rating: 17,673 -1,835 16 Sept – 26 Jun · 24 days played
16,55623,491peak 23,49116 Sept26 Jun
23,606Peak Premier in tracked matches
53Days played since 2025-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim60
Positioning62
Utility70

0–100 skill scores via Leetify.

Recent form

HOT53–43–4Last 10053%Win rateWWLWWWWWWL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +3.6pp headshot accuracy · +6ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 552ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 581ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 579ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim6.0
Utility7.0
Positioning6.2
Opening Duels6.9
Clutch0.0

Effective flashes

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

device

Plays most like device 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms 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

Aim6.0
Positioning6.2
Utility7.0
Mechanics5.5
Opening Duels5.7
Win Impact9.0

Composite 6.4/10 (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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time603ms−49ms
first ⅓ avg 652ms → last ⅓ avg 603ms
Headshot accuracy17.1%−1.9%
first ⅓ avg 19.1% → last ⅓ avg 17.1%

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.

Personal bests

0.19Best match rating · 13–1 · ancient, 30 Sept →
47%Best headshot accuracy · 2–13 · train, 9 Jan →
469msFastest reaction time · 13–7 · ancient, 26 Jun →
13–1Biggest win · dust2, 26 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
5–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 69% over 16overpassWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA1912–763%0.02
ancientS1611–569%0.04
nukeB157–847%-0.00
dust2B126–650%0.03
mirageB105–550%0.02
trainA95–456%0.03
overpassD72–529%0.01
anubisA53–260%0.02
vertigo—20–20%-0.01
cache—11–0100%0.01
alpine—10–10%-0.05
warden—10–10%0.03
golden—11–0100%-0.04
palacio—10–10%0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

192Matches
58%Win rate
1.13Avg K/D
88.8ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno20%0.9016.5
Vertigo10%0.7311.0
Nuke1100%0.8713.0

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.

17.1%Headshot accuracy
33.8%Accuracy (enemy spotted)
34.0%Spray accuracy
74.8%Counter-strafing
9.6°Preaim
603msReaction time
41.7%T opening success
64.3%CT opening success
0.78Enemies flashed / flash
10.1%Flash assists
6.73HE damage / grenade
13.47Flashes / match

Recommended for you

Spend your practice time on Overpass

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 7 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–80.0110%22 Oct →
nuke13–8-0.0328%22 Oct →
inferno9–130.0214%22 Oct →
cache13–80.0118%3 Sept →
ancient13–70.0427%3 Sept →
inferno13–30.099%26 Jun →
dust213–10.0815%26 Jun →
ancient13–70.1124%26 Jun →
dust213–40.0321%28 Apr →
dust26–13-0.0716%28 Apr →
ancient13–70.1015%20 Apr →
mirage13–30.1120%20 Apr →
overpass11–130.027%17 Apr →
mirage10–13-0.0215%15 Apr →
nuke13–60.0123%15 Apr →
mirage13–10.0617%14 Apr →
alpine8–13-0.059%13 Apr →
warden6–130.039%13 Apr →
inferno13–6-0.0020%10 Apr →
ancient13–90.019%10 Apr →
mirage15–15-0.0213%10 Apr →
overpass6–130.0220%9 Apr →
inferno16–140.0317%9 Apr →
nuke13–6-0.0023%9 Apr →
inferno13–7-0.0219%7 Apr →
ancient14–16-0.0126%7 Apr →
anubis13–10-0.0013%7 Apr →
ancient14–160.0113%24 Mar →
anubis13–160.0216%11 Feb →
anubis2–130.0433%6 Feb →
dust26–130.0418%5 Feb →
inferno9–13-0.039%3 Feb →
ancient8–130.0318%12 Jan →
overpass8–130.0213%12 Jan →
nuke8–13-0.050%9 Jan →
train2–13-0.0047%9 Jan →
inferno2–13-0.0521%28 Dec →
nuke13–4-0.0129%6 Dec →
nuke3–13-0.0518%3 Dec →
train13–80.0417%3 Dec →
inferno13–90.1022%2 Dec →
ancient15–150.0020%2 Dec →
inferno16–140.0016%26 Nov →
ancient13–70.0116%26 Nov →
overpass8–130.0511%23 Nov →
nuke11–130.0414%23 Nov →
dust27–13-0.0429%23 Nov →
mirage8–13-0.0126%23 Nov →
vertigo2–13-0.0118%20 Nov →
ancient16–12-0.0215%17 Nov →
mirage13–70.0319%13 Nov →
nuke7–13-0.0127%13 Nov →
train10–130.0627%13 Nov →
inferno13–80.0811%13 Nov →
nuke8–13-0.0413%8 Nov →
ancient13–40.0412%6 Nov →
overpass13–6-0.0014%6 Nov →
dust211–130.0426%27 Oct →
inferno13–60.0722%26 Oct →
golden13–10-0.0422%24 Oct →
palacio7–130.0218%24 Oct →
ancient4–13-0.0430%24 Oct →
mirage10–13-0.0322%21 Oct →
inferno7–130.0524%21 Oct →
nuke15–15-0.0326%17 Oct →
nuke5–13-0.0331%7 Oct →
inferno5–130.0132%3 Oct →
train13–11-0.0218%3 Oct →
dust28–130.0516%30 Sept →
overpass13–70.0218%30 Sept →
nuke13–50.1126%30 Sept →
ancient13–10.1921%30 Sept →
dust213–30.1115%28 Sept →
inferno7–13-0.0313%28 Sept →
nuke13–30.0221%25 Sept →
inferno13–60.0118%25 Sept →
train7–13-0.0133%25 Sept →
inferno13–90.0413%24 Sept →
inferno13–6-0.0117%23 Sept →
ancient13–11-0.0215%20 Sept →
dust213–70.0438%20 Sept →
train13–110.0618%18 Sept →
nuke13–100.0523%18 Sept →
inferno8–130.0613%18 Sept →
dust213–4-0.0410%17 Sept →
ancient13–100.0811%16 Sept →
mirage13–100.0814%16 Sept →
ancient13–20.1226%16 Sept →
anubis13–50.028%14 Sept →
vertigo11–13-0.0021%12 Sept →
train13–100.0824%11 Sept →
train9–130.1146%10 Sept →
dust212–120.0725%9 Sept →
train13–7-0.065%9 Sept →
mirage6–13-0.0123%9 Sept →
mirage13–9-0.0317%9 Sept →
nuke7–13-0.0211%9 Sept →
inferno13–8-0.0215%8 Sept →
overpass6–13-0.0318%8 Sept →
dust213–80.0819%5 Sept →

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 →

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