Josif Stalin

Josif Stalin — CS2 Stats

76561198105513697[U:1:145247969]Steam profile ↗✓ No bans

463Tracked matches50%Win rate2020Tracked since
2,079Hours in CS3Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating15,180Purple band · top ~27.7% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (11 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.

Rating over time

Premier CS Rating: 15,180 -61 23 Sept – 3 Oct · 18 days played
12,49716,578peak 16,57823 Sept3 Oct
16,618Peak Premier in tracked matches
1,011Highest Faceit ELO seen on CSDB
57Days played since 2025-09-07

Premier CS Rating

  • 1,398 below peak (16,578)
  • -1,398 over 30 days · declining
  • Next: Pink band at 20,000 — 4,820 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-05
  • Blue band first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate40.0%44.3%46.9%6.9% short
Shot accuracy14.1%11.9%13.0%above
Kill/death ratio1.061.031.080.02 short
Match win rate43.0%45.2%46.7%3.7% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGJosif StalinPREMIER15,180 · Purple bandPEAK ELO1,011csdb.gg/stats

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Performance scores

Aim76
Positioning50
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY40–52–8Last 10040%Win rateWLLWWLLLWL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · −5.4pp headshot accuracy · −20ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 558ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 575ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 585ms

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 (+1.7 against its own average).

Aim7.6
Utility4.4
Positioning5.0
Opening Duels3.8
Clutch0.0

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

s1mple

Plays most like s1mple 94% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 605ms 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

Aim7.6
Positioning5.0
Utility4.4
Mechanics7.3
Opening Duels4.3
Win Impact5.0

Composite 6.0/10 (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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time607ms−54ms
first ⅓ avg 660ms → last ⅓ avg 607ms
Headshot accuracy21.0%+1.9%
first ⅓ avg 19.1% → last ⅓ avg 21.0%

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

0.18Best match rating · 13–7 · train, 9 Oct →
41%Best headshot accuracy · 12–12 · nuke, 4 Aug →
461msFastest reaction time · 8–8 · inferno, 11 Oct →
13–1Biggest win · dust2, 3 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 75% over 8anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D227–1532%-0.01
nukeC177–1041%0.01
infernoD154–1127%-0.00
mirageB136–746%-0.02
cacheS86–275%0.02
ancientC73–443%-0.02
anubisD51–420%-0.03
train—43–175%0.04
overpass—40–40%-0.03
office—21–150%0.01
vertigo—21–150%-0.03
rooftop—11–0100%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,676Lifetime kills
1.06K/D · Top 50% of Purple band
3,247Matches
43.0%Match win rate
40.0%Headshot %
14.1%Shot accuracy · Top 50% of Purple band
7,978MVPs
1,227Hours (in match)
2,612Bombs planted
743Bombs defused

Most-used weapons

Lifetime map wins

5,378inferno
3,644dust2
2,101nuke
1,691train
1,205cbble
838vertigo
523office
242lake

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

Faceit stats

Combat

80Matches
48%Win rate
0.89Avg K/D
80.1ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage250%1.0813.0
Dust210%0.7213.0

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.

21.4%Headshot accuracy
33.4%Accuracy (enemy spotted)
36.5%Spray accuracy
83.0%Counter-strafing
8.5°Preaim
605msReaction time
41.3%T opening success
52.8%CT opening success
0.45Enemies flashed / flash
2.8%Flash assists
8.56HE damage / grenade
8.10Flashes / 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. 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 0.4543 — below the 0.5 mark we flag

    Grenade Lineups →
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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
train13–70.1823%9 Oct →
inferno8–130.0422%3 Oct →
nuke8–13-0.0514%1 Oct →
cache13–9-0.0422%30 Sept →
nuke13–60.0214%20 Sept →
dust29–130.0516%20 Sept →
dust214–16-0.0214%17 Sept →
overpass10–13-0.0212%13 Sept →
cache16–140.0224%6 Sept →
anubis8–13-0.0315%6 Sept →
mirage1–13-0.0612%5 Sept →
dust25–13-0.0413%5 Sept →
cache2–13-0.0130%5 Sept →
dust216–14-0.0125%5 Sept →
inferno6–130.0534%5 Sept →
mirage3–13-0.0822%4 Sept →
ancient5–13-0.067%9 Aug →
dust213–3-0.0118%7 Aug →
dust213–50.0327%5 Aug →
nuke12–12-0.0341%4 Aug →
dust213–1-0.0022%3 Aug →
dust26–13-0.0322%1 Aug →
train13–80.0518%31 Jul →
nuke10–130.0920%28 Jul →
dust215–150.0619%28 Jul →
mirage13–6-0.0213%27 Jul →
mirage13–70.0232%27 Jul →
nuke13–10.1036%27 Jul →
nuke13–90.0220%26 Jul →
cache16–130.0631%26 Jul →
mirage0–13-0.0517%26 Jul →
nuke9–13-0.0528%23 Jul →
ancient13–11-0.069%23 Jul →
mirage12–12-0.0318%23 Jul →
office13–100.0132%20 Jul →
cache4–13-0.0112%23 Jun →
anubis13–5-0.0027%23 Jun →
cache13–60.0929%23 Jun →
overpass11–13-0.0316%17 Jun →
cache13–3-0.0327%9 May →
cache13–100.0527%9 May →
anubis6–130.0026%18 Apr →
inferno12–12-0.0622%26 Mar →
dust28–130.0420%20 Mar →
ancient10–130.0017%20 Mar →
inferno13–100.0726%18 Mar →
inferno5–13-0.0418%26 Feb →
nuke15–15-0.008%25 Feb →
train13–11-0.0319%27 Dec →
overpass12–120.0114%27 Dec →
dust29–40.0918%14 Dec →
nuke13–110.0317%12 Dec →
mirage5–13-0.0113%5 Dec →
inferno8–13-0.0230%13 Nov →
mirage10–13-0.0423%3 Nov →
nuke13–70.0333%3 Nov →
nuke7–13-0.0216%28 Oct →
mirage8–13-0.0520%22 Oct →
inferno9–40.0916%17 Oct →
dust24–130.0329%17 Oct →
dust213–10-0.0021%14 Oct →
overpass7–9-0.0723%14 Oct →
nuke11–130.0120%12 Oct →
inferno8–8-0.1515%11 Oct →
mirage13–110.0211%11 Oct →
mirage13–80.0829%11 Oct →
dust26–13-0.0219%10 Oct →
nuke10–130.0618%9 Oct →
rooftop9–70.0326%9 Oct →
inferno13–100.0426%7 Oct →
inferno10–13-0.0124%6 Oct →
vertigo13–60.0718%6 Oct →
ancient2–13-0.1020%6 Oct →
inferno0–13-0.0410%6 Oct →
nuke10–13-0.0127%5 Oct →
anubis4–13-0.0525%5 Oct →
nuke13–10-0.0211%5 Oct →
dust28–13-0.0515%4 Oct →
nuke8–13-0.0430%4 Oct →
dust28–13-0.0228%1 Oct →
ancient7–13-0.0714%1 Oct →
ancient13–60.1025%1 Oct →
dust213–4-0.0825%1 Oct →
anubis12–12-0.0524%30 Sept →
office8–130.0115%28 Sept →
nuke13–110.0622%28 Sept →
mirage13–10-0.079%28 Sept →
dust24–13-0.097%28 Sept →
inferno10–10.0117%28 Sept →
mirage13–70.0019%27 Sept →
dust214–16-0.0217%24 Sept →
dust28–13-0.039%24 Sept →
dust29–13-0.0518%23 Sept →
ancient13–110.0112%23 Sept →
inferno11–13-0.0128%23 Sept →
vertigo5–9-0.1322%23 Sept →
inferno4–9-0.097%23 Sept →
train11–13-0.0620%22 Sept →
inferno6–130.1119%20 Sept →
dust28–13-0.0527%20 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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