sabotaj

sabotaj — CS2 Stats

US76561197960405833[U:1:140105]Steam profile ↗✓ No bans

1,318Tracked matches61%Win rate2020Tracked since
CSDB Rating5.0 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,318 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,390 +149 27 Mar – 6 Jul · 34 days played
15,50717,836peak 17,83627 Mar6 Jul
Faceit ELO: 1,175 +0 26 Sept – 27 Sept · 2 observations
1,1751,175peak 1,17526 Sept27 Sept
18,134Peak Premier in tracked matches
1,175Highest Faceit ELO seen on CSDB
49Days played since 2026-03-27

Faceit ELO

  • At peak — 1,175
  • Next: Level 6 at 1,201 — 26 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-26
  • Level 4 first seen 2026-09-26

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.

Share this profile

CSDB.GGsabotajPEAK ELO1,175csdb.gg/stats

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Performance scores

Aim52
Positioning52
Utility63

0–100 skill scores via Leetify.

Recent form

HOT48–48–4Last 10048%Win rateLWLWWWWWWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +1.3pp headshot accuracy · −36ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 636ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 613ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 631ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim5.2
Utility6.3
Positioning5.2
Opening Duels3.5
Clutch2.6

Effective flashes

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 72% 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim5.2
Positioning5.2
Utility6.3
Mechanics5.8
Opening Duels2.5
Win Impact8.6

Composite 5.0/10 (Developing), 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 rating0.00+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time625ms+38ms
first ⅓ avg 587ms → last ⅓ avg 625ms
Headshot accuracy13.2%−0.0%
first ⅓ avg 13.2% → last ⅓ avg 13.2%

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

0.07Best match rating · 13–5 · ancient, 5 Jul →
34%Best headshot accuracy · 13–9 · nuke, 17 Apr →
430msFastest reaction time · 5–13 · ancient, 8 Apr →
13–2Biggest win · anubis, 8 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 73% over 11infernoWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
ancientA2515–1060%-0.00
dust2C207–1335%-0.01
nukeB179–853%-0.01
infernoD143–1121%-0.02
anubisS118–373%0.01
overpassC94–544%-0.01
vertigo—20–20%-0.02
mirage—22–0100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

349Matches
49%Win rate
1.04Avg K/D
83.6ADR
36%Headshot %

Clutches & streaks

33%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis3256%1.1414.8
Ancient3060%1.0416.0
Vertigo2148%1.1216.8
Dust21839%1.0214.7
Nuke1450%0.9616.9
Inferno1145%1.1416.6
Train475%1.3213.3
Overpass10%0.609.0

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.

12.8%Headshot accuracy
34.4%Accuracy (enemy spotted)
35.1%Spray accuracy
76.0%Counter-strafing
10.8°Preaim
620msReaction time
31.2%T opening success
48.4%CT opening success
0.76Enemies flashed / flash
1.4%Flash assists
9.90HE damage / grenade
8.92Flashes / 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 12.8186% — 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 31.2433% — below the 40% mark we flag

Spend your practice time on Inferno

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo5–13-0.0119%11 Aug →
ancient13–90.056%9 Aug →
ancient9–13-0.0422%4 Aug →
anubis13–90.038%31 Jul →
ancient16–13-0.0117%27 Jul →
anubis13–7-0.016%27 Jul →
anubis13–30.023%27 Jul →
ancient13–110.0018%26 Jul →
dust213–100.069%22 Jul →
anubis1–13-0.0721%22 Jul →
nuke16–19-0.0111%19 Jul →
ancient8–130.029%19 Jul →
ancient13–11-0.047%19 Jul →
dust211–13-0.009%18 Jul →
dust28–13-0.0417%18 Jul →
dust216–14-0.047%17 Jul →
dust22–13-0.105%16 Jul →
nuke13–30.0617%15 Jul →
inferno5–13-0.0418%15 Jul →
dust213–50.0216%11 Jul →
vertigo12–12-0.0410%8 Jul →
ancient6–13-0.0126%8 Jul →
anubis13–20.019%8 Jul →
anubis13–70.0619%7 Jul →
dust213–110.0112%7 Jul →
nuke13–20.026%7 Jul →
anubis11–13-0.006%6 Jul →
ancient15–15-0.0315%6 Jul →
nuke13–100.0121%6 Jul →
ancient13–50.0716%5 Jul →
dust26–130.0025%3 Jul →
overpass9–13-0.0210%25 Jun →
dust212–160.0514%25 Jun →
ancient13–90.0515%25 Jun →
nuke11–130.0413%24 Jun →
ancient7–13-0.038%24 Jun →
inferno13–11-0.0212%23 Jun →
dust213–6-0.0210%23 Jun →
nuke11–13-0.0811%18 Jun →
ancient13–50.056%17 Jun →
dust213–160.0217%17 Jun →
anubis16–14-0.0210%15 Jun →
dust28–130.017%15 Jun →
inferno10–13-0.0311%15 Jun →
inferno14–16-0.0317%14 Jun →
nuke16–140.0017%14 Jun →
mirage13–80.0120%13 Jun →
inferno15–15-0.0211%13 Jun →
nuke15–15-0.0322%13 Jun →
ancient13–6-0.019%13 Jun →
overpass13–10-0.0321%11 Jun →
dust213–6-0.0130%11 Jun →
ancient13–2-0.013%24 May →
dust28–13-0.0319%24 May →
inferno6–13-0.049%24 May →
inferno11–13-0.0112%22 May →
ancient13–80.0510%22 May →
inferno11–130.0618%19 May →
overpass3–13-0.0711%19 May →
dust24–13-0.0318%16 May →
nuke13–8-0.0314%15 May →
dust211–130.0216%15 May →
inferno13–60.0316%7 May →
overpass6–13-0.0220%7 May →
ancient13–100.0416%5 May →
anubis13–90.0421%5 May →
overpass8–130.0520%5 May →
ancient6–13-0.0211%28 Apr →
nuke4–130.0015%27 Apr →
inferno2–13-0.064%26 Apr →
anubis9–130.037%26 Apr →
dust26–13-0.0312%25 Apr →
inferno9–130.0114%25 Apr →
overpass16–13-0.0112%25 Apr →
ancient13–60.0213%24 Apr →
nuke13–80.0113%24 Apr →
inferno3–13-0.1017%24 Apr →
ancient13–110.0313%18 Apr →
nuke3–130.0010%18 Apr →
ancient16–140.0212%18 Apr →
anubis13–90.0416%17 Apr →
nuke13–90.0034%17 Apr →
dust213–6-0.0129%17 Apr →
inferno13–80.0515%16 Apr →
overpass3–13-0.088%16 Apr →
ancient2–13-0.110%16 Apr →
nuke13–30.0221%14 Apr →
dust211–13-0.0313%14 Apr →
ancient10–13-0.0515%12 Apr →
overpass13–9-0.019%8 Apr →
nuke13–10-0.0218%8 Apr →
ancient5–13-0.069%8 Apr →
mirage13–7-0.0312%8 Apr →
ancient13–20.0214%1 Apr →
nuke7–13-0.0214%1 Apr →
overpass13–110.0610%29 Mar →
ancient6–13-0.0412%29 Mar →
dust29–130.0018%28 Mar →
nuke6–13-0.085%28 Mar →
inferno10–13-0.0312%27 Mar →

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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