33Sapsap

33Sapsap — CS2 Stats

JM76561198179580822[U:1:219315094]Steam profile ↗✓ No bans

963Tracked matches45%Win rate2020Tracked since
2,383Hours in CS14Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating22,207Top 50% of 212,379 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#53596 of 259255 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (7 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: 22,207 +1,596 31 Jul – 25 Oct · 24 days played
19,50622,452peak 22,45231 Jul25 Oct
22,578Peak Premier in tracked matches
30Days played since 2026-07-27

Premier CS Rating

  • 245 below peak (22,452)
  • +745 over 30 days · improving
  • +1,596 over 90 days
  • Next: Red band at 25,000 — 2,793 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate35.5%46.9%49.3%13.8% short
Shot accuracy13.7%13.0%13.4%above
Kill/death ratio1.061.081.120.07 short
Match win rate42.5%46.7%48.5%6.0% short

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

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

Share this profile

CSDB.GG33SapsapPREMIER22,207 · Pink bandcsdb.gg/stats

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Performance scores

Aim74
Positioning56
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY45–47–8Last 10045%Win rateLWLLWTLWLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −5.8pp headshot accuracy · −49ms 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 0.00
  • Avg headshot accuracy 9%
  • Avg reaction 484ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 483ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 507ms

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 (+2.3 against its own average).

Aim7.4
Utility4.2
Positioning5.6
Opening Duels2.9
Clutch0.4

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 98% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

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

CT openings. Opening success drops from 57% on T to 39% on CT — first contacts on the defending side are being lost.

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

Aim7.4
Positioning5.6
Utility4.2
Mechanics6.1
Opening Duels4.5
Win Impact3.3

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time505ms−68ms
first ⅓ avg 573ms → last ⅓ avg 505ms
Headshot accuracy14.0%−1.6%
first ⅓ avg 15.6% → last ⅓ avg 14.0%

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

0.21Best match rating · 9–2 · debris, 28 Jul →
50%Best headshot accuracy · 13–1 · vertigo, 9 Aug →
359msFastest reaction time · 13–3 · anubis, 9 Oct →
13–1Biggest win · vertigo, 9 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

anubisBest map · 71% over 7poseidonWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA2012–860%0.01
cacheB126–650%-0.00
mirageC114–736%-0.01
debrisD103–730%-0.01
dust2C94–544%-0.01
anubisS75–271%0.00
ancientC73–443%-0.01
poseidonD51–420%-0.03
eldoradoC52–340%0.02
vertigo—41–325%-0.04
nuke—32–167%-0.00
boulder—20–20%-0.01
fachwerk—21–150%-0.03
overpass—10–10%-0.00
train—10–10%-0.01
shelter—11–0100%0.08

Across the last 100 tracked matches.

Lifetime stats

94,150Lifetime kills
1.06K/D
4,517Matches
42.5%Match win rate
35.5%Headshot %
13.7%Shot accuracy · Top 50% of Pink band
10,700MVPs
1,540Hours (in match)
3,663Bombs planted
1,143Bombs defused

Most-used weapons

AK-4724,682
AWP9,929
FAMAS2,872
P2502,577
UMP-451,748
P901,743

Lifetime map wins

4,629dust2
4,342inferno
1,546cbble
1,273nuke
1,160vertigo
954train
339office
311lake

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

Faceit stats

Combat

44Matches
34%Win rate
0.89Avg K/D
84.9ADR
36%Headshot %

Clutches & streaks

22%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno367%1.6115.3
Dust2250%1.1219.0
Anubis1100%1.6048.0
Nuke10%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.

13.9%Headshot accuracy
34.3%Accuracy (enemy spotted)
39.0%Spray accuracy
77.7%Counter-strafing
9.0°Preaim
500msReaction time
57.3%T opening success
39.0%CT opening success
0.34Enemies flashed / flash
2.3%Flash assists
8.34HE damage / grenade
6.72Flashes / 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 13.8529% — 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 0.3367 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.9724% — below the 40% mark we flag

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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–130.028%25 Oct →
anubis13–90.0714%25 Oct →
anubis3–13-0.054%23 Oct →
mirage7–13-0.0413%23 Oct →
inferno16–140.016%22 Oct →
inferno15–150.0113%22 Oct →
cache9–13-0.0916%21 Oct →
cache8–20.069%21 Oct →
cache7–130.0116%21 Oct →
mirage13–11-0.0219%13 Oct →
dust210–13-0.0631%13 Oct →
overpass2–13-0.0029%10 Oct →
inferno7–1-0.0120%10 Oct →
cache6–13-0.047%10 Oct →
cache13–70.0614%10 Oct →
ancient13–20.0110%10 Oct →
anubis13–3-0.0311%9 Oct →
anubis13–7-0.0214%9 Oct →
mirage11–13-0.0713%9 Oct →
anubis5–130.0427%9 Oct →
ancient9–13-0.0410%9 Oct →
dust27–13-0.0211%8 Oct →
mirage16–13-0.0517%8 Oct →
mirage13–100.0318%8 Oct →
dust213–80.0112%8 Oct →
nuke5–13-0.0716%8 Oct →
ancient11–13-0.018%7 Oct →
dust213–90.0111%7 Oct →
mirage10–13-0.007%7 Oct →
dust27–13-0.0018%6 Oct →
inferno13–10-0.0117%6 Oct →
inferno13–11-0.0616%6 Oct →
cache13–60.0111%6 Oct →
inferno13–80.0211%5 Oct →
dust210–13-0.0411%5 Oct →
inferno7–13-0.0417%4 Oct →
nuke13–50.0218%4 Oct →
poseidon9–40.0024%17 Aug →
vertigo8–8-0.0813%17 Aug →
vertigo6–9-0.1014%17 Aug →
inferno3–9-0.0811%17 Aug →
inferno3–9-0.1813%17 Aug →
inferno9–50.1226%17 Aug →
boulder9–13-0.0028%17 Aug →
ancient4–13-0.0115%16 Aug →
inferno13–10-0.0517%16 Aug →
anubis13–5-0.0115%16 Aug →
ancient13–7-0.046%15 Aug →
train3–13-0.0117%12 Aug →
mirage7–130.0720%12 Aug →
inferno8–130.0414%12 Aug →
mirage9–13-0.0420%12 Aug →
inferno4–13-0.0721%12 Aug →
nuke13–40.0415%11 Aug →
ancient2–13-0.0424%11 Aug →
mirage13–20.0211%11 Aug →
anubis13–90.028%11 Aug →
dust213–90.0511%10 Aug →
cache11–13-0.0611%10 Aug →
vertigo13–10.0350%9 Aug →
boulder3–13-0.0219%9 Aug →
ancient13–90.0618%8 Aug →
fachwerk9–0-0.060%8 Aug →
mirage8–13-0.0210%8 Aug →
inferno13–60.0620%8 Aug →
cache8–13-0.038%8 Aug →
cache13–9-0.0110%8 Aug →
cache13–80.0326%7 Aug →
dust210–13-0.0417%6 Aug →
cache13–16-0.0114%6 Aug →
debris5–9-0.0513%5 Aug →
debris6–9-0.065%5 Aug →
debris8–80.059%5 Aug →
debris8–8-0.0920%5 Aug →
inferno13–110.0619%2 Aug →
dust213–8-0.0311%2 Aug →
inferno9–10.1515%2 Aug →
poseidon7–90.024%2 Aug →
inferno8–80.006%2 Aug →
inferno13–70.1625%1 Aug →
fachwerk2–130.0025%1 Aug →
shelter13–40.087%1 Aug →
cache13–80.0216%31 Jul →
poseidon4–9-0.0617%31 Jul →
debris9–50.0614%31 Jul →
mirage6–13-0.0311%31 Jul →
eldorado9–50.0812%31 Jul →
eldorado7–9-0.063%31 Jul →
poseidon4–9-0.0620%31 Jul →
inferno13–9-0.0116%30 Jul →
vertigo8–13-0.0211%29 Jul →
debris3–9-0.0912%28 Jul →
eldorado9–40.0533%28 Jul →
debris9–20.0530%28 Jul →
debris8–8-0.139%28 Jul →
eldorado3–90.0016%28 Jul →
debris9–20.2140%28 Jul →
poseidon4–9-0.0421%28 Jul →
debris8–8-0.086%27 Jul →
eldorado8–80.0413%27 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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