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jaS — CS2 Stats

76561198086079190[U:1:125813462]✓ No bans

1,103Tracked matches52%Win rate2023Tracked since
3,187Hours in CS20Hrs last 2 wks
CSDB Rating2.7 Learning
Premier CS Rating14,570Blue band · top ~30.7% of ranked players (population est.)
CSDB Leaderboard#17156 of 26570 tracked
Ladder ranks via Leetify

Rating over time

14,570Peak Premier on CSDB
1Days observed since 2026-08-29

Premier CS Rating

  • At peak — 14,570
  • Next: Purple band at 15,000 — 430 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-29
  • Light Blue band first seen 2026-08-29

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate31.4%41.7%44.1%12.7% short
Shot accuracy11.3%8.8%11.4%meets
Kill/death ratio0.910.971.030.12 short
Match win rate49.4%43.8%45.2%above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGjaSPREMIER14,570 · Blue bandcsdb.gg/stats

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Performance scores

Aim15
Positioning32
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY41–45–14Last 10041%Win rateLWWWWLWWLL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Aim1.5
Aggression0.0
Utility3.1
Positioning3.2
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 59% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Reaction time. 719ms 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

Aim1.5
Positioning3.2
Utility3.1
Mechanics4.8
Opening Duels0.0
Win Impact5.6

Composite 2.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06−0.02
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time715ms−4ms
first ⅓ avg 719ms → last ⅓ avg 715ms
Headshot accuracy10.7%−3.8%
first ⅓ avg 14.5% → last ⅓ avg 10.7%

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

0.05Best rating — vertigo 13–1
13–1Biggest win — vertigo
5Longest win streak
2–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

trainBest map · 80% over 5cacheWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B1910–953%-0.04
cacheD132–1115%-0.05
ancientB136–746%-0.05
nukeB115–645%-0.05
infernoC114–736%-0.08
anubisD93–633%-0.04
vertigoB63–350%-0.04
trainS54–180%-0.05
mirageC52–340%-0.05
overpassD51–420%-0.04
office—31–233%-0.05

Across the last 100 tracked matches.

Lifetime stats

86,103Lifetime kills
0.91K/D
8,166Matches
49.4%Match win rate · Top 25% of Blue band
31.4%Headshot %
11.3%Shot accuracy · Top 50% of Blue band
5,920MVPs
2,080Hours (in match)
4,373Bombs planted
474Bombs defused

Most-used weapons

AK-4730,784
M4A4 / M4A1-S19,508
SG 5535,274
AWP4,400
MP93,319
P2000 / USP-S2,158
AUG2,146
P2502,038
MAC-101,917
Glock-181,769

Lifetime map wins

11,224dust2
8,762vertigo
2,873inferno
2,579cbble
2,076nuke
877office
467train
321italy

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

Faceit stats

Combat

1Matches
100%Win rate
0.72Avg K/D
—ADR
31%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

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.

10.6%Headshot accuracy
27.3%Accuracy (enemy spotted)
29.8%Spray accuracy
71.5%Counter-strafing
13.9°Preaim
719msReaction time
18.2%T opening success
27.0%CT opening success
0.44Enemies flashed / flash
3.1%Flash assists
6.63HE damage / grenade
6.93Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.9196° — above the 12° mark we flag

    Aim Training →
  2. 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 10.5933% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 718.9813ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Cache

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache7–13-0.049%26 Aug →
ancient13–11-0.094%25 Aug →
nuke13–9-0.0514%24 Aug →
ancient13–8-0.088%24 Aug →
dust213–2-0.0710%24 Aug →
anubis10–130.0116%21 Aug →
dust213–10-0.0424%15 Aug →
train13–10-0.077%15 Aug →
inferno10–13-0.0815%12 Aug →
inferno2–13-0.0710%11 Aug →
nuke9–13-0.0317%11 Aug →
nuke6–13-0.107%3 Aug →
dust27–13-0.057%3 Aug →
cache9–13-0.134%2 Aug →
train13–10-0.0614%1 Aug →
dust213–8-0.084%1 Aug →
mirage5–13-0.0617%29 Jul →
vertigo13–6-0.028%29 Jul →
cache7–13-0.118%29 Jul →
anubis12–12-0.089%26 Jul →
dust213–5-0.018%26 Jul →
ancient10–13-0.046%26 Jul →
dust212–12-0.0810%25 Jul →
cache11–13-0.0210%25 Jul →
office13–8-0.0625%25 Jul →
anubis12–12-0.0920%24 Jul →
anubis9–13-0.038%24 Jul →
inferno13–11-0.0611%21 Jul →
ancient13–9-0.050%20 Jul →
inferno13–10-0.077%19 Jul →
anubis10–13-0.0913%19 Jul →
vertigo13–5-0.068%19 Jul →
nuke8–1-0.0314%19 Jul →
dust212–12-0.0812%18 Jul →
office11–13-0.0512%18 Jul →
dust216–12-0.0412%17 Jul →
mirage10–13-0.079%16 Jul →
overpass4–13-0.138%16 Jul →
overpass9–130.0115%14 Jul →
ancient12–12-0.027%13 Jul →
cache7–13-0.042%12 Jul →
inferno12–12-0.0614%12 Jul →
dust210–13-0.0612%12 Jul →
dust26–13-0.075%12 Jul →
office12–12-0.0343%12 Jul →
dust213–8-0.0521%12 Jul →
mirage11–13-0.0313%11 Jul →
inferno13–7-0.016%11 Jul →
ancient9–13-0.0312%9 Jul →
cache13–6-0.088%8 Jul →
ancient2–13-0.0912%8 Jul →
cache12–120.0013%4 Jul →
dust27–13-0.068%4 Jul →
inferno13–3-0.069%4 Jul →
nuke8–13-0.0515%3 Jul →
inferno3–13-0.1311%3 Jul →
vertigo6–13-0.0822%3 Jul →
cache12–12-0.0811%3 Jul →
dust212–12-0.054%1 Jul →
dust213–3-0.0014%28 Jun →
dust27–13-0.0318%28 Jun →
cache13–2-0.0112%28 Jun →
overpass11–3-0.0123%27 Jun →
mirage13–7-0.033%27 Jun →
nuke4–13-0.086%24 Jun →
dust213–10-0.075%23 Jun →
inferno3–13-0.090%23 Jun →
ancient13–10-0.0418%21 Jun →
anubis13–3-0.023%21 Jun →
dust213–50.0214%20 Jun →
ancient9–3-0.0117%16 Jun →
train13–8-0.0514%14 Jun →
cache4–13-0.0522%14 Jun →
ancient10–13-0.0915%10 Jun →
vertigo13–10.0533%7 Jun →
inferno8–8-0.1813%7 Jun →
vertigo6–9-0.1213%7 Jun →
mirage9–2-0.0617%6 Jun →
cache6–13-0.015%6 Jun →
ancient3–13-0.058%1 Jun →
ancient7–13-0.0110%30 May →
vertigo12–12-0.0415%25 May →
dust213–20.0118%24 May →
overpass14–16-0.0414%23 May →
nuke13–6-0.0324%23 May →
anubis13–20.0524%23 May →
inferno1–13-0.0525%17 May →
overpass15–15-0.0515%17 May →
dust214–16-0.0413%16 May →
cache10–13-0.039%10 May →
cache6–13-0.069%2 May →
anubis13–5-0.0215%2 May →
nuke3–13-0.1510%26 Apr →
nuke13–10-0.0513%25 Apr →
train13–40.008%25 Apr →
anubis6–13-0.066%24 Apr →
nuke3–13-0.0415%24 Apr →
train12–12-0.0514%23 Apr →
ancient13–7-0.0317%13 Apr →
nuke13–50.019%12 Apr →

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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