Stoja

Stoja — CS2 Stats

BE76561197969956982[U:1:9691254]Steam profile ↗✓ No bans

5,482Tracked matches63%Win rate2020Tracked since
5,744Hours in CS
CSDB Rating5.5 SolidPositional Player
Premier CS Rating15,818Purple band · top ~25.1% of ranked players (population est.)
FaceitLevel 6 · 1,338 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−243Premier CS Rating · 16,061 → 15,818

Rating over time

Premier CS Rating: 15,818 -1,433 2 Sept – 4 Nov · 18 days played
15,07917,251peak 17,2512 Sept4 Nov
17,251Peak Premier in tracked matches
1,338Highest Faceit ELO seen on CSDB
17Days played since 2026-09-02

Faceit ELO

  • At peak — 1,338
  • Next: Level 7 at 1,351 — 13 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-02
  • Level 5 first seen 2026-09-02

Premier CS Rating

  • 1,433 below peak (17,251)
  • +1 over 30 days · steady
  • Next: Pink band at 20,000 — 4,182 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate28.4%44.8%45.7%17.3% short
Shot accuracy14.8%12.4%12.7%above
Kill/death ratio0.891.031.050.16 short
Match win rate54.0%45.2%45.7%above

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGStojaFACEITLevel 6 · 1,338 ELOSTANDINGTop 54.0% of rankedPREMIER15,818 · Purple bandPEAK ELO1,338csdb.gg/stats

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Performance scores

Aim54
Positioning66
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateWLWLLWLWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −0.4pp headshot accuracy · −34ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 11%
  • Avg reaction 523ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 10%
  • Avg reaction 535ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 552ms

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: Positional Player — Positioning stands above the rest of this profile (+2.2 against its own average).

Aim5.4
Utility4.2
Positioning6.6
Opening Duels2.9
Clutch3.8

Limited utility dependence

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

jL

Plays most like jL 78% 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

Reaction time. 562ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim5.4
Positioning6.6
Utility4.2
Mechanics2.8
Opening Duels5.5
Win Impact9.4

Composite 5.5/10 (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-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time559ms+13ms
first ⅓ avg 546ms → last ⅓ avg 559ms
Headshot accuracy9.7%−1.5%
first ⅓ avg 11.2% → last ⅓ avg 9.7%

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.

Personal bests

0.12Best match rating · 13–3 · dust2, 12 Oct →
26%Best headshot accuracy · 13–2 · cache, 11 Oct →
391msFastest reaction time · 12–16 · nuke, 28 Oct →
13–0Biggest win · dust2, 28 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
12–8In matches decided by ≤2 rounds
19Overtime games

Map breakdown

cacheBest map · 100% over 5mirageWeakest map · 47% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B2714–1352%0.00
mirageB157–847%-0.00
infernoB158–753%0.01
anubisB158–753%-0.00
ancientA148–657%-0.01
nukeS96–367%0.04
cacheS55–0100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (47% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

222,680Lifetime kills
0.89K/D
11,179Matches
54.0%Match win rate · Top 10% of Level 6 players
28.4%Headshot %
14.8%Shot accuracy · Top 50% of Level 6 players
30,573MVPs
5,744Hours (in match)
22,746Bombs planted
3,541Bombs defused

Most-used weapons

AK-4736,590
P9023,656
AWP23,367
MP720,258
Glock-1812,092
SCAR-2010,067
G3SG17,122

Lifetime map wins

24,277nuke
21,828inferno
8,581dust2
3,412vertigo
1,217train
943office
277cbble
198italy

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

Faceit stats

Combat

1,380Matches
52%Win rate
1.01Avg K/D
81.4ADR
33%Headshot %

Clutches & streaks

39%1v1 clutch win
26%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage34351%1.0515.8
Dust219851%0.8914.2
Inferno18057%1.0015.2
Ancient15056%0.9515.1
Anubis14049%0.9915.0
Nuke11453%1.1518.4
Overpass3158%1.1217.5
Vertigo2450%1.1617.0

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.

9.5%Headshot accuracy
37.9%Accuracy (enemy spotted)
38.5%Spray accuracy
62.7%Counter-strafing
10.0°Preaim
562msReaction time
55.6%T opening success
48.6%CT opening success
0.37Enemies flashed / flash
0.4%Flash assists
9.84HE damage / grenade
4.80Flashes / 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 9.4883% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3689 — below the 0.5 mark we flag

    Grenade Lineups →
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.

47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage16–140.017%4 Nov →
mirage9–130.0411%3 Nov →
dust213–90.0015%3 Nov →
nuke11–130.048%3 Nov →
inferno8–130.0112%3 Nov →
nuke16–120.028%2 Nov →
anubis11–130.049%2 Nov →
nuke16–130.027%2 Nov →
mirage13–110.0412%2 Nov →
anubis13–5-0.059%2 Nov →
ancient13–4-0.0413%2 Nov →
inferno16–130.048%2 Nov →
dust28–130.0210%2 Nov →
inferno7–13-0.0316%2 Nov →
anubis9–130.0110%2 Nov →
nuke13–80.069%2 Nov →
nuke13–80.108%2 Nov →
mirage5–13-0.0417%2 Nov →
cache16–14-0.095%1 Nov →
ancient3–13-0.067%1 Nov →
mirage13–40.063%1 Nov →
mirage13–9-0.0114%30 Oct →
ancient13–11-0.023%30 Oct →
ancient4–13-0.049%30 Oct →
anubis13–9-0.0416%30 Oct →
inferno13–8-0.006%30 Oct →
cache13–80.0512%30 Oct →
anubis13–110.0219%30 Oct →
anubis11–13-0.020%30 Oct →
cache13–8-0.016%30 Oct →
anubis13–16-0.0218%30 Oct →
inferno8–13-0.059%30 Oct →
ancient4–13-0.104%29 Oct →
ancient13–100.017%29 Oct →
dust213–10-0.018%29 Oct →
mirage2–13-0.0611%29 Oct →
dust29–130.0110%29 Oct →
ancient9–13-0.018%29 Oct →
dust27–130.0410%29 Oct →
dust216–14-0.0311%29 Oct →
inferno4–13-0.0711%29 Oct →
dust211–130.0616%29 Oct →
ancient13–60.0221%29 Oct →
anubis5–13-0.0514%29 Oct →
anubis13–50.076%29 Oct →
dust211–13-0.0412%29 Oct →
dust213–9-0.0214%28 Oct →
dust213–00.019%28 Oct →
nuke13–70.1013%28 Oct →
ancient13–60.0113%28 Oct →
inferno13–11-0.026%28 Oct →
inferno13–8-0.056%28 Oct →
nuke12–16-0.0310%28 Oct →
dust213–11-0.028%28 Oct →
cache13–11-0.0013%27 Oct →
ancient10–130.0512%27 Oct →
inferno7–13-0.018%27 Oct →
mirage14–160.0712%27 Oct →
dust211–13-0.047%27 Oct →
inferno13–30.057%26 Oct →
mirage13–60.038%26 Oct →
mirage16–130.068%13 Oct →
ancient13–11-0.005%13 Oct →
ancient9–13-0.0114%13 Oct →
inferno8–130.0512%13 Oct →
inferno15–150.0211%13 Oct →
ancient13–60.0311%12 Oct →
dust213–30.048%12 Oct →
dust213–30.1219%12 Oct →
inferno13–90.1012%12 Oct →
mirage7–13-0.055%12 Oct →
anubis13–90.048%12 Oct →
dust213–7-0.0110%12 Oct →
dust210–130.0010%12 Oct →
dust213–16-0.0513%12 Oct →
ancient13–100.085%12 Oct →
mirage13–16-0.0712%11 Oct →
dust213–8-0.014%11 Oct →
mirage15–15-0.0816%11 Oct →
inferno16–130.0313%11 Oct →
cache13–2-0.0126%11 Oct →
nuke10–130.0310%11 Oct →
dust215–150.019%11 Oct →
mirage12–16-0.0012%10 Oct →
anubis13–50.1010%10 Oct →
anubis2–13-0.133%10 Oct →
dust214–16-0.0210%10 Oct →
dust213–4-0.0112%10 Oct →
anubis13–100.0019%10 Oct →
dust213–50.1112%10 Oct →
dust210–13-0.0210%10 Oct →
anubis1–13-0.0318%10 Oct →
dust210–13-0.059%10 Oct →
mirage13–9-0.0214%10 Oct →
dust213–11-0.0110%9 Oct →
anubis13–8-0.002%8 Oct →
dust28–13-0.0413%8 Oct →
nuke13–8-0.0113%8 Oct →
dust213–90.0114%7 Oct →
inferno16–140.0613%6 Oct →

Match data via Leetify.

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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