JariPaitsio

JariPaitsio — CS2 Stats

FI76561197981280014[U:1:21014286]Steam profile ↗✓ No bans

1,668Tracked matches70%Win rate2020Tracked since
1,530Hours in CS
CSDB Rating5.8 SolidSupport
CSDB Leaderboard#33340 of 223825 tracked
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 62 days played since 14 Feb 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 23,529 +2,603 16 Feb5 Jun · 4 days played
20,92624,551peak 24,55116 Feb5 Jun
24,669Peak Premier in tracked matches
2,171Highest Faceit ELO seen on CSDB
62Days played since 2024-02-14

Faceit ELO

  • At peak — 2,171
  • Next: 2,500 ELO at 2,500 329 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGJariPaitsioPEAK ELO2,171csdb.gg/stats

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Performance scores

Aim54
Positioning50
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY58411Last 10058%Win rateLWWWWWWLLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −3.9pp headshot accuracy · +6ms reaction

Win rate down 30pp 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

  • 41 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 603ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 633ms

Last 20

  • 155 · 75% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 630ms

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: SupportUtility contribution stands above the rest of this profile (+2.6 against its own average).

Aim5.4
Utility6.7
Positioning5.0
Opening Duels1.4
Clutch3.4

Strong CT-side openerEffective 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

Twistzz

Plays most like Twistzz 72% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 44% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 608ms 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

Aim5.4
Positioning5.0
Utility6.7
Mechanics6.5
Opening Duels1.7
Win Impact10.0

Composite 5.8/10 (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 rating-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time608ms+61ms
first ⅓ avg 547ms → last ⅓ avg 608ms
Headshot accuracy21.4%+2.3%
first ⅓ avg 19.0% → last ⅓ avg 21.4%

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

0.12Best match rating · 13–6 · ancient, 20 Apr
41%Best headshot accuracy · 1–13 · nuke, 29 May
398msFastest reaction time · 6–13 · nuke, 12 May
13–0Biggest win · nuke, 1 May

Across the last 100 tracked matches.

Highlights

8Longest win streak
129In matches decided by ≤2 rounds
16Overtime games

Map breakdown

nukeBest map · 69% over 32mirageWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeS32221069%-0.00
ancientA2012860%-0.02
infernoA138562%-0.00
anubisA116555%-0.02
mirageD92722%-0.02
trainA53260%0.01
dust243175%0.02
cache220100%0.01
overpass2020%-0.05
vertigo2020%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,599Lifetime kills
0.93K/D
2,961Matches
49.3%Match win rate · Top 25% of tracked players
41.8%Headshot %
13.4%Shot accuracy · Top 50% of tracked players
7,004MVPs
1,530Hours (in match)
4,188Bombs planted
1,030Bombs defused

Most-used weapons

AK-4719,825
AWP5,826
Knife1,694
MAC-101,388
FAMAS1,323
AUG1,157

Lifetime map wins

6,355nuke
6,262inferno
3,786train
2,966dust2
380vertigo
362cbble

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

Faceit stats

Combat

1,957Matches
51%Win rate
0.99Avg K/D
74.5ADR
42%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke16761%1.0514.7
Ancient16551%0.9414.6
Anubis11845%0.9514.4
Inferno11448%0.9213.8
Mirage6949%0.9114.0
Dust23656%0.9214.2
Overpass2658%1.0415.6
Train2462%1.1815.5

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.

20.5%Headshot accuracy
30.0%Accuracy (enemy spotted)
29.4%Spray accuracy
79.4%Counter-strafing
11.1°Preaim
608msReaction time
24.5%T opening success
43.7%CT opening success
0.74Enemies flashed / flash
10.2%Flash assists
13.62HE damage / grenade
10.82Flashes / 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 24.4884% — below the 40% mark we flag

Spend your practice time on Mirage

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage9–130.0123%22 Aug
nuke13–80.0211%22 Aug
nuke16–120.0419%22 Aug
cache13–5-0.0218%13 May
cache13–90.0427%1 May
nuke13–00.0320%1 May
ancient13–10-0.0314%27 Mar
inferno6–13-0.0226%27 Mar
inferno7–13-0.0017%20 Mar
nuke4–13-0.0319%22 Feb
nuke13–10-0.0125%15 Feb
nuke19–17-0.0127%14 Feb
nuke13–10-0.0125%23 Jan
train7–13-0.0724%16 Jan
nuke13–00.0823%10 Jan
ancient13–5-0.0421%7 Jan
inferno13–90.0321%5 Jan
nuke13–00.0930%2 Jan
nuke19–160.0521%26 Dec
nuke13–90.0318%25 Dec
dust213–30.0828%21 Nov
ancient14–16-0.0310%10 Oct
mirage13–80.0926%12 Sept
ancient13–10-0.0213%26 Jul
mirage11–13-0.0223%4 Jul
nuke13–11-0.0416%4 Jul
anubis13–9-0.0321%6 Jun
anubis13–8-0.0320%5 Jun
mirage9–13-0.054%29 May
nuke1–13-0.0841%29 May
ancient13–11-0.0429%29 May
inferno10–13-0.0219%29 May
nuke6–13-0.0426%12 May
inferno13–8-0.0328%28 Apr
ancient13–16-0.0117%25 Apr
nuke6–13-0.0625%20 Apr
ancient13–60.1229%20 Apr
nuke13–40.0524%20 Apr
train13–50.0025%3 Apr
ancient13–5-0.0717%3 Apr
nuke13–40.0419%3 Apr
ancient13–4-0.0414%29 Mar
nuke2–13-0.0721%29 Mar
nuke11–13-0.0213%23 Mar
train2–13-0.0610%16 Mar
dust213–40.0227%16 Mar
nuke15–15-0.0220%16 Mar
inferno3–13-0.0215%15 Mar
ancient8–13-0.0331%2 Mar
ancient13–6-0.0521%28 Feb
mirage10–13-0.0816%23 Feb
inferno16–13-0.0815%23 Feb
dust213–8-0.0113%21 Feb
inferno13–10.0123%15 Feb
nuke13–60.0123%15 Feb
train13–40.1230%15 Feb
train13–110.0530%2 Feb
ancient13–40.0224%1 Feb
nuke25–23-0.0216%23 Dec
dust28–13-0.0137%14 Dec
ancient10–13-0.0618%13 Dec
inferno13–11-0.0218%2 Aug
ancient4–13-0.0331%6 Jul
nuke7–13-0.0514%6 Jul
anubis13–11-0.0612%3 Jul
mirage8–13-0.049%2 Jul
inferno13–40.0519%20 Jun
nuke22–20-0.0223%7 Jun
anubis9–13-0.0424%25 May
anubis5–13-0.067%7 May
anubis13–100.0624%3 May
mirage19–16-0.0112%29 Apr
ancient5–13-0.0319%27 Apr
inferno13–70.0719%20 Apr
inferno13–50.0132%28 Mar
mirage10–130.0228%28 Mar
overpass7–13-0.0437%5 Mar
anubis10–13-0.049%5 Mar
nuke13–60.0323%5 Mar
overpass7–13-0.0623%1 Mar
ancient22–20-0.0211%1 Mar
ancient11–130.0126%24 Feb
nuke13–100.029%24 Feb
anubis13–80.0218%24 Feb
vertigo5–13-0.0611%24 Feb
ancient13–10-0.0819%24 Feb
mirage11–13-0.1016%24 Feb
anubis11–13-0.0218%24 Feb
nuke8–13-0.0320%17 Feb
ancient17–19-0.0122%17 Feb
anubis11–130.0318%17 Feb
nuke16–140.0414%16 Feb
ancient13–9-0.0137%16 Feb
inferno6–13-0.0412%16 Feb
anubis16–13-0.0216%16 Feb
nuke16–140.0330%16 Feb
vertigo14–16-0.0711%16 Feb
nuke13–11-0.0222%16 Feb
nuke7–13-0.0514%14 Feb
nuke13–6-0.016%14 Feb

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →