JALLUN PIHTAAJA

JALLUN PIHTAAJA — CS2 Stats

FI76561197968605739[U:1:8340011]Steam profile ↗

3,784Tracked matches34%Win rate2020Tracked since
8,207Hours in CS31Hrs last 2 wks
CSDB Rating2.5 Learning
Premier CS Rating5,521Light Blue band · top ~76.3% of ranked players (population est.)
CSDB Leaderboard#10696 of 14104 tracked
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGJALLUN PIHTAAJAPREMIER5,521 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim25
Positioning39
Utility57

0–100 skill scores via Leetify.

Recent form

COLD33634Last 10033%Win rateLLLTLLLLLW

Last 10 vs previous 10: -40pp win rate · +0.01 avg rating

Player DNA

Aim2.5
Aggression2.4
Utility5.7
Positioning3.9
Opening Duels0.0

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

NiKo

Plays most like NiKo 72% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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 37% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 646ms 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

Aim2.5
Positioning3.9
Utility5.7
Mechanics1.9
Opening Duels0.8
Win Impact0.0

Composite 2.5/10 (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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time649ms−46ms
first ⅓ avg 695ms → last ⅓ avg 649ms
Headshot accuracy6.8%−1.9%
first ⅓ avg 8.7% → last ⅓ avg 6.8%

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

0.10Best rating — anubis 13–2
132Biggest win — cache
5Longest win streak
L3Current streak
77In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 43% over 28anubisWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
nukeC28121643%-0.03
infernoD2471729%-0.03
ancientD1651131%-0.02
anubisD1541127%-0.03
cacheD93633%-0.03
mirage3030%-0.03
dust232167%-0.02
train1010%-0.05
vertigo1010%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

200,479Lifetime kills
0.97K/D
13,180Matches
41.6%Match win rate
25.4%Headshot %
14.8%Shot accuracy · Top 50% of tracked players
19,331MVPs
4,848Hours (in match)
16,182Bombs planted
2,289Bombs defused

Most-used weapons

P9039,783
AK-4731,422
MP77,762
AWP6,565
MP95,755

Lifetime map wins

23,866nuke
19,294inferno
6,979train
4,954bank
4,807lake
4,705dust2
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.

7.0%Headshot accuracy
32.8%Accuracy (enemy spotted)
34.9%Spray accuracy
58.7%Counter-strafing
11.4°Preaim
646msReaction time
20.7%T opening success
36.8%CT opening success
0.58Enemies flashed / flash
4.1%Flash assists
12.33HE damage / grenade
5.71Flashes / 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 6.9904% — 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 20.7208% — 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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
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
anubis5–13-0.0614%29 Jul
ancient11–130.019%29 Jul
nuke7–13-0.067%29 Jul
anubis13–160.015%28 Jul
nuke2–13-0.0610%28 Jul
cache4–13-0.063%28 Jul
nuke5–13-0.0414%28 Jul
nuke6–130.0212%28 Jul
inferno13–110.0210%28 Jul
cache13–100.059%28 Jul
anubis6–13-0.055%28 Jul
ancient11–13-0.0010%28 Jul
inferno11–13-0.028%28 Jul
nuke15–15-0.029%27 Jul
nuke8–13-0.006%27 Jul
nuke8–13-0.0616%27 Jul
inferno2–13-0.095%27 Jul
train2–13-0.058%27 Jul
nuke5–130.0113%27 Jul
nuke12–12-0.067%7 Jul
vertigo9–130.007%7 Jul
ancient8–13-0.029%24 Jun
ancient10–13-0.0410%24 Jun
mirage9–13-0.0614%24 Jun
inferno11–13-0.036%23 Jun
nuke9–130.027%23 Jun
ancient8–13-0.039%23 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 →