Susenkovac

Susenkovac — CS2 Stats

76561199208789082[U:1:1248523354]Steam profile ↗✓ No bans

350Tracked matches53%Win rate2025Tracked since
566Hours in CS3Hrs last 2 wks
CSDB Rating3.7 LearningPositional Player
Premier CS Rating5,479Light Blue band · top ~76.5% of ranked players (population est.)
Ladder ranks via Leetify

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CSDB.GGSusenkovacPREMIER5,479 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning44
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateWLWWLWWLWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +2.1pp headshot accuracy · −25ms 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 10%
  • Avg reaction 570ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 606ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 619ms

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 (+2.5 against its own average).

Aim3.9
Utility2.4
Positioning4.4
Opening Duels1.0
Clutch0.0

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 79% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 618ms 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

Aim3.9
Positioning4.4
Utility2.4
Mechanics6.2
Opening Duels2.0
Win Impact6.1

Composite 3.7/10 (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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time626ms−29ms
first ⅓ avg 656ms → last ⅓ avg 626ms
Headshot accuracy10.7%+1.5%
first ⅓ avg 9.1% → 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.

Personal bests

0.21Best match rating · 13–2 · italy, 9 Oct →
25%Best headshot accuracy · 13–6 · ancient, 30 Oct →
453msFastest reaction time · 2–13 · dust2, 31 Oct →
12–0Biggest win · mirage, 5 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 73% over 11infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC2310–1343%-0.00
dust2D196–1332%-0.03
cacheC167–944%-0.02
ancientS139–469%-0.01
anubisS118–373%-0.00
nukeD103–730%-0.02
infernoD51–420%-0.04
boulder—11–0100%-0.01
italy—11–0100%0.21
fachwerk—10–10%-0.07

Across the last 100 tracked matches.

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

Lifetime stats

12,379Lifetime kills
0.81K/D
911Matches
46.1%Match win rate
27.8%Headshot %
0.1%Shot accuracy
1,819MVPs
328Hours (in match)
675Bombs planted
395Bombs defused

Most-used weapons

Lifetime map wins

1,819dust2
956nuke
782inferno
291vertigo
221train
178office
56italy

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

Faceit stats

Combat

2Matches
100%Win rate
1.04Avg K/D
79.3ADR
33%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke1100%1.1317.0
Mirage1100%0.9416.0

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.

10.4%Headshot accuracy
28.9%Accuracy (enemy spotted)
29.4%Spray accuracy
78.1%Counter-strafing
10.1°Preaim
618msReaction time
37.7%T opening success
38.5%CT opening success
0.39Enemies flashed / flash
5.0%Flash assists
6.51HE damage / grenade
3.57Flashes / 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 10.444% — 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 0.3865 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 37.6867% — 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.

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10-0.0411%14 Nov →
nuke6–13-0.0613%14 Nov →
cache13–100.027%7 Nov →
ancient13–5-0.016%6 Nov →
dust22–13-0.0613%31 Oct →
ancient13–6-0.0525%30 Oct →
cache13–80.039%30 Oct →
mirage11–13-0.0114%24 Oct →
inferno16–130.0316%24 Oct →
cache11–130.059%23 Oct →
cache13–50.0214%19 Oct →
mirage7–13-0.0511%9 Oct →
anubis16–140.0611%9 Oct →
boulder13–8-0.019%9 Oct →
italy13–20.2111%9 Oct →
mirage13–160.0111%9 Oct →
anubis3–13-0.080%7 Oct →
dust22–13-0.069%7 Oct →
cache0–13-0.1013%7 Oct →
mirage13–30.0813%7 Oct →
ancient8–13-0.0413%4 Oct →
ancient13–10-0.0312%2 Oct →
anubis9–130.0214%28 Sept →
dust27–130.008%27 Sept →
cache10–3-0.044%27 Sept →
mirage6–13-0.037%27 Sept →
dust213–20.045%27 Sept →
ancient13–110.011%27 Sept →
nuke7–13-0.028%25 Sept →
ancient13–50.029%25 Sept →
anubis13–40.2120%25 Sept →
cache10–13-0.0115%23 Sept →
cache10–13-0.049%20 Sept →
mirage13–6-0.0410%17 Sept →
ancient4–13-0.0213%12 Sept →
nuke3–13-0.055%5 Sept →
inferno2–13-0.054%5 Sept →
anubis13–110.017%5 Sept →
dust212–16-0.0211%3 Sept →
dust29–13-0.018%1 Sept →
dust210–13-0.0311%27 Aug →
mirage9–130.0114%27 Aug →
mirage13–10-0.0621%25 Aug →
dust213–6-0.0314%25 Aug →
cache4–130.0014%24 Aug →
nuke15–150.0610%24 Aug →
anubis13–6-0.008%23 Aug →
cache11–13-0.0312%23 Aug →
anubis13–20.049%23 Aug →
mirage8–13-0.0412%23 Aug →
mirage13–80.017%23 Aug →
dust26–13-0.106%22 Aug →
cache10–13-0.0512%22 Aug →
ancient13–30.068%22 Aug →
nuke13–10-0.0513%21 Aug →
dust211–13-0.0413%21 Aug →
anubis4–13-0.096%21 Aug →
mirage4–13-0.0615%21 Aug →
nuke7–13-0.0613%21 Aug →
ancient2–13-0.087%21 Aug →
anubis13–10-0.0716%21 Aug →
cache4–130.039%21 Aug →
dust213–16-0.0214%21 Aug →
ancient13–10-0.064%17 Aug →
inferno2–13-0.1013%17 Aug →
dust22–13-0.067%17 Aug →
anubis16–14-0.0814%17 Aug →
cache3–13-0.067%17 Aug →
mirage7–13-0.0216%17 Aug →
nuke16–13-0.084%16 Aug →
ancient13–90.0613%16 Aug →
dust27–10.0219%16 Aug →
mirage15–15-0.0511%16 Aug →
anubis13–11-0.0110%16 Aug →
inferno9–130.019%16 Aug →
mirage5–130.0020%16 Aug →
mirage13–9-0.029%7 Aug →
dust213–40.0015%7 Aug →
inferno4–13-0.073%6 Aug →
nuke4–13-0.0212%6 Aug →
nuke13–50.087%5 Aug →
dust25–13-0.068%5 Aug →
mirage13–90.077%5 Aug →
cache13–10-0.038%5 Aug →
mirage12–00.0111%5 Aug →
ancient13–90.038%3 Aug →
dust29–13-0.0614%3 Aug →
mirage13–11-0.0011%3 Aug →
nuke4–13-0.042%3 Aug →
cache13–7-0.064%2 Aug →
mirage11–130.0314%18 Jul →
dust213–6-0.036%18 Jul →
dust213–40.004%17 Jul →
fachwerk1–13-0.070%17 Jul →
mirage8–130.0013%17 Jul →
mirage13–100.0113%17 Jul →
mirage15–150.0612%17 Jul →
cache13–10-0.058%16 Jul →
dust26–13-0.080%16 Jul →
ancient9–13-0.085%16 Jul →

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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