Sapu

Sapu — CS2 Stats

DE76561198167736177[U:1:207470449]Steam profile ↗✓ No bans

1,927Tracked matches57%Win rate2020Tracked since
4,691Hours in CS2Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
CSDB Leaderboard#25991 of 258843 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,691 +1,378 18 Oct – 14 Nov · 2 days played
23,31324,691peak 24,69118 Oct14 Nov
24,691Peak Premier in tracked matches
2,440Highest Faceit ELO seen on CSDB
58Days played since 2025-10-16

Faceit ELO

  • At peak — 2,440
  • Next: 2,500 ELO at 2,500 — 60 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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

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CSDB.GGSapuPEAK ELO2,440csdb.gg/stats

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Performance scores

Aim73
Positioning73
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY61–38–1Last 10061%Win rateLWWWLLLLWL

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · +3.4pp headshot accuracy · −62ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 477ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 465ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 496ms

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 (+1.5 against its own average).

Aim7.3
Utility5.6
Positioning7.3
Opening Duels6.8
Clutch3.6

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

s1mple

Plays most like s1mple 84% 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

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 46% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.3
Positioning7.3
Utility5.6
Mechanics5.8
Opening Duels6.0
Win Impact7.2

Composite 6.7/10 (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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time502ms−65ms
first ⅓ avg 567ms → last ⅓ avg 502ms
Headshot accuracy20.0%−0.0%
first ⅓ avg 20.0% → last ⅓ avg 20.0%

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

0.17Best match rating · 13–1 · ancient, 30 May →
50%Best headshot accuracy · 13–3 · dust2, 26 Feb →
344msFastest reaction time · 4–13 · dust2, 14 Dec →
13–1Biggest win · ancient, 30 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
20–3In matches decided by ≤2 rounds
14Overtime games

Map breakdown

overpassBest map · 80% over 5trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2S2820–871%0.01
infernoA2515–1060%0.01
ancientS1814–478%0.05
nukeC145–936%0.01
overpassS54–180%0.04
trainD51–420%0.00
mirage—32–167%0.01
anubis—10–10%0.09
cache—10–10%0.01

Across the last 100 tracked matches.

Lifetime stats

121,753Lifetime kills
1.08K/D · Top 50% of tracked players
28,057Matches
89.5%Match win rate · Top 1% of tracked players
45.3%Headshot % · Top 50% of tracked players
13.0%Shot accuracy · Top 50% of tracked players
12,585MVPs
2,344Hours (in match)
6,073Bombs planted
1,515Bombs defused

Most-used weapons

AK-4739,980
AWP19,578
Negev2,087
Tec-91,949
P2501,890

Lifetime map wins

9,419dust2
8,562inferno
5,777nuke
1,772train
1,060vertigo
1,051cbble
233aztec
150dust

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

Faceit stats

Combat

1,017Matches
53%Win rate
1.13Avg K/D
77.7ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust218950%1.0214.9
Ancient16556%1.1315.3
Inferno14156%1.1115.9
Anubis7154%1.1615.6
Nuke6338%1.0115.3
Train4961%1.0815.6
Mirage4749%1.0516.4
Overpass4349%1.1616.9

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.

19.3%Headshot accuracy
31.2%Accuracy (enemy spotted)
31.5%Spray accuracy
76.1%Counter-strafing
7.9°Preaim
499msReaction time
46.4%T opening success
61.5%CT opening success
0.67Enemies flashed / flash
14.2%Flash assists
10.36HE damage / grenade
4.20Flashes / match

Recommended for you

Spend your practice time on Train

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.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno11–130.0625%24 Oct →
inferno13–100.0321%24 Oct →
inferno16–130.0714%24 Oct →
dust213–20.0312%14 Oct →
overpass4–90.0133%11 Oct →
ancient8–130.0324%7 Aug →
anubis5–130.0924%28 Jul →
inferno10–13-0.0325%26 Jul →
ancient13–70.1617%24 Jul →
nuke5–13-0.0313%24 Jul →
dust213–11-0.0111%24 Jul →
inferno10–130.0211%24 Jul →
cache4–130.0111%21 Jul →
dust213–3-0.0021%20 Jul →
dust213–2-0.026%20 Jul →
inferno13–50.0925%19 Jul →
nuke5–13-0.0221%18 Jul →
dust26–13-0.0725%18 Jul →
inferno19–170.0730%18 Jul →
nuke13–40.0414%18 Jul →
inferno7–13-0.0226%23 Jun →
dust216–130.0624%7 Jun →
nuke6–130.1515%6 Jun →
inferno13–60.0015%5 Jun →
inferno13–70.0324%4 Jun →
inferno6–13-0.0318%4 Jun →
ancient13–11-0.0415%4 Jun →
ancient13–10.1730%30 May →
ancient13–16-0.0312%8 May →
ancient16–140.0419%7 May →
ancient13–30.1224%7 May →
nuke10–13-0.0219%25 Apr →
dust213–11-0.0135%24 Apr →
ancient13–10-0.0423%24 Apr →
ancient13–110.0519%5 Apr →
nuke6–13-0.0624%5 Apr →
dust213–110.0019%5 Apr →
nuke13–80.0316%4 Apr →
ancient16–140.0216%4 Apr →
inferno16–13-0.0321%4 Apr →
dust213–30.0128%3 Apr →
dust213–110.1115%2 Apr →
dust216–130.1125%31 Mar →
ancient7–13-0.036%31 Mar →
dust213–80.0114%29 Mar →
dust28–13-0.0025%25 Mar →
dust213–11-0.0323%21 Mar →
dust27–13-0.0314%20 Mar →
inferno13–70.0535%20 Mar →
dust211–13-0.0126%20 Mar →
nuke13–110.0322%8 Mar →
ancient16–140.0214%6 Mar →
dust213–60.0833%28 Feb →
mirage5–130.0527%28 Feb →
inferno7–13-0.0838%28 Feb →
dust213–30.0250%26 Feb →
inferno13–110.0228%19 Feb →
dust213–90.0325%19 Feb →
mirage13–10-0.0135%19 Feb →
dust213–80.0212%19 Feb →
nuke10–13-0.0225%9 Feb →
dust213–100.0215%9 Feb →
ancient13–10.1026%9 Feb →
inferno13–6-0.0416%27 Jan →
dust213–11-0.0023%27 Dec →
mirage13–11-0.0125%25 Dec →
train8–13-0.0321%17 Dec →
ancient22–180.0419%16 Dec →
dust23–13-0.0122%16 Dec →
dust24–130.0025%14 Dec →
inferno6–13-0.0912%14 Dec →
inferno10–130.0123%11 Dec →
dust213–7-0.0416%5 Dec →
overpass13–110.0218%29 Nov →
ancient10–13-0.0113%24 Nov →
train14–16-0.0318%23 Nov →
dust213–110.0222%22 Nov →
inferno13–30.0718%14 Nov →
nuke15–150.0026%14 Nov →
overpass13–90.0320%14 Nov →
ancient13–10.1323%14 Nov →
nuke5–13-0.0520%12 Nov →
inferno9–130.0316%8 Nov →
overpass22–200.0519%4 Nov →
train13–20.0718%1 Nov →
inferno13–9-0.0118%25 Oct →
inferno13–20.0318%25 Oct →
dust27–13-0.0218%25 Oct →
train12–160.0117%25 Oct →
inferno6–13-0.0917%25 Oct →
ancient13–80.0318%25 Oct →
nuke13–110.0414%23 Oct →
nuke10–13-0.0217%23 Oct →
overpass13–40.0911%19 Oct →
train4–13-0.0132%18 Oct →
ancient13–80.1016%18 Oct →
inferno13–110.0734%18 Oct →
dust210–13-0.0440%18 Oct →
inferno13–60.0030%18 Oct →
nuke13–40.0014%16 Oct →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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