JALLUN PIHTAAJA

JALLUN PIHTAAJA — CS2 Stats

FI76561197968605739[U:1:8340011]Steam profile ↗✓ No bans

3,811Tracked matches29%Win rate2020Tracked since
8,238Hours in CS17Hrs last 2 wks
CSDB Rating2.3 LearningSupport
Premier CS Rating3,476Grey band · top ~85.3% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 25 days played since 29 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 3,476 +388 10 Aug15 Sept · 26 days played
3,0887,072peak 7,07210 Aug15 Sept
7,343Peak Premier in tracked matches
25Days played since 2026-07-29

Premier CS Rating

  • 3,596 below peak (7,072)
  • -1,208 over 30 days · declining
  • Next: Light Blue band at 5,000 1,524 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-28

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches1118−7
Win rate27%39%−12pp
K/D0.680.70−0.02
Headshot %26%27%−1pp

Measured 11 Sep 202620 Sep 2026; previous 4 Sep 2026 → 11 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,468), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate25.4%38.1%39.9%14.5% short
Shot accuracy14.8%3.7%6.9%above
Kill/death ratio0.970.830.92above
Match win rate41.6%40.1%42.3%meets

This profile matches the typical Light Blue band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGJALLUN PIHTAAJAPREMIER3,476 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim19
Positioning37
Utility54

0–100 skill scores via Leetify.

Recent form

COLD39574Last 10039%Win rateLWLLLLWLLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −0.7pp headshot accuracy · −23ms reaction

Win rate down 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

  • 14 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 6%
  • Avg reaction 611ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 6%
  • Avg reaction 646ms

Last 20

  • 6122 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 7%
  • Avg reaction 658ms

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 (+2.4 against its own average).

Aim1.9
Utility5.4
Positioning3.7
Opening Duels0.0

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.

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

NiKo

Plays most like NiKo 51% playstyle similarity

Most alike: utility contribution, positioning profile.

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 39% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 663ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.9
Positioning3.7
Utility5.4
Mechanics1.9
Opening Duels1.2
Win Impact0.0

Composite 2.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time652ms−34ms
first ⅓ avg 685ms → last ⅓ avg 652ms
Headshot accuracy7.2%+0.6%
first ⅓ avg 6.6% → last ⅓ avg 7.2%

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

0.10Best match rating · 13–2 · anubis, 31 Jul
31%Best headshot accuracy · 13–2 · ancient, 13 Aug
484msFastest reaction time · 13–5 · inferno, 12 Aug
13–2Biggest win · inferno, 9 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
76In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 61% over 23anubisWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
infernoC2691735%-0.03
nukeA2314961%-0.03
anubisD1641225%-0.03
ancientC156940%-0.03
cacheD124833%-0.05
dust242250%-0.04
mirage4040%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

200,930Lifetime kills
0.97K/D · Top 25% of Grey band
13,220Matches
41.6%Match win rate · Top 50% of Grey band
25.4%Headshot %
14.8%Shot accuracy · Top 25% of Grey band
19,380MVPs
4,865Hours (in match)
16,234Bombs planted
2,295Bombs defused

Most-used weapons

P9039,865
AK-4731,519
MP77,763
AWP6,572
MP95,778

Lifetime map wins

23,933nuke
19,410inferno
6,979train
4,954bank
4,807lake
4,719dust2
4,348safehouse
4,108vertigo

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

7.2%Headshot accuracy
29.6%Accuracy (enemy spotted)
32.2%Spray accuracy
58.7%Counter-strafing
11.1°Preaim
663msReaction time
18.6%T opening success
39.2%CT opening success
0.61Enemies flashed / flash
6.7%Flash assists
12.33HE damage / grenade
5.35Flashes / 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 7.2058% — 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 18.631% — 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.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust25–13-0.1011%15 Sept
cache13–5-0.024%15 Sept
anubis9–13-0.072%15 Sept
ancient8–13-0.099%13 Sept
nuke8–130.012%13 Sept
ancient8–13-0.007%13 Sept
inferno13–2-0.0510%9 Sept
anubis5–13-0.037%9 Sept
cache9–13-0.0410%9 Sept
nuke11–13-0.072%8 Sept
inferno7–13-0.065%8 Sept
ancient15–15-0.006%7 Sept
inferno14–16-0.0611%6 Sept
cache13–11-0.032%6 Sept
ancient16–13-0.0317%3 Sept
nuke13–9-0.057%3 Sept
mirage4–13-0.082%3 Sept
anubis7–13-0.035%3 Sept
nuke15–150.0310%2 Sept
inferno13–100.017%2 Sept
cache5–13-0.0720%2 Sept
inferno14–16-0.0713%2 Sept
cache9–13-0.094%2 Sept
mirage6–13-0.086%31 Aug
nuke13–80.003%31 Aug
anubis9–13-0.043%31 Aug
inferno13–3-0.009%31 Aug
inferno7–13-0.078%25 Aug
ancient7–13-0.035%25 Aug
anubis3–13-0.045%25 Aug
inferno15–150.0010%25 Aug
anubis7–13-0.0712%24 Aug
inferno9–130.055%24 Aug
inferno12–16-0.026%24 Aug
inferno6–13-0.045%23 Aug
mirage6–130.025%23 Aug
cache13–20.074%23 Aug
nuke13–9-0.020%23 Aug
nuke13–10-0.032%22 Aug
inferno4–13-0.083%21 Aug
ancient13–10-0.0314%21 Aug
anubis4–13-0.0310%21 Aug
anubis6–130.009%20 Aug
dust213–6-0.002%20 Aug
nuke8–13-0.056%20 Aug
ancient13–110.049%19 Aug
inferno9–130.018%19 Aug
ancient12–16-0.059%19 Aug
nuke13–100.057%19 Aug
nuke13–100.025%19 Aug
nuke4–13-0.0310%18 Aug
ancient5–13-0.104%18 Aug
inferno13–70.088%18 Aug
ancient9–130.009%17 Aug
cache3–13-0.0813%17 Aug
nuke13–11-0.0710%17 Aug
ancient9–13-0.055%17 Aug
inferno3–13-0.055%17 Aug
inferno1–13-0.120%17 Aug
anubis11–13-0.0212%17 Aug
inferno8–13-0.072%17 Aug
cache2–13-0.042%17 Aug
ancient13–20.0131%13 Aug
nuke10–13-0.074%13 Aug
nuke13–16-0.076%13 Aug
inferno13–50.032%13 Aug
dust213–9-0.034%13 Aug
nuke13–2-0.0414%13 Aug
cache13–3-0.018%13 Aug
inferno12–16-0.084%13 Aug
nuke13–10-0.015%13 Aug
anubis13–11-0.056%12 Aug
nuke13–10-0.047%12 Aug
inferno13–5-0.005%12 Aug
inferno13–3-0.064%12 Aug
anubis3–13-0.030%12 Aug
anubis13–9-0.047%12 Aug
ancient13–110.0410%12 Aug
ancient13–11-0.065%12 Aug
anubis13–16-0.095%11 Aug
cache5–13-0.094%11 Aug
inferno13–10-0.009%11 Aug
cache6–13-0.114%11 Aug
inferno4–13-0.1119%11 Aug
mirage15–15-0.059%10 Aug
inferno13–3-0.010%10 Aug
nuke13–3-0.035%10 Aug
nuke16–14-0.019%10 Aug
nuke13–6-0.002%10 Aug
inferno9–13-0.0210%10 Aug
inferno5–13-0.0512%31 Jul
cache11–13-0.036%31 Jul
anubis13–9-0.060%31 Jul
ancient11–13-0.036%31 Jul
nuke5–13-0.115%31 Jul
anubis13–20.104%31 Jul
anubis6–13-0.033%30 Jul
nuke13–10-0.048%30 Jul
nuke10–130.007%29 Jul
dust22–13-0.0317%29 Jul

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 →