ꜱᴀᴀʙ

ꜱᴀᴀʙ — CS2 Stats

NE76561198969666819[U:1:1009401091]Steam profile ↗✓ No bans

516Tracked matches50%Win rate2021Tracked since
1,139Hours in CS7Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating12,709Blue band · top ~40.5% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (5 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: 12,709 +1,781 9 May – 31 Oct · 30 days played
9,73813,839peak 13,8399 May31 Oct
13,839Peak Premier in tracked matches
43Days played since 2026-05-08

Premier CS Rating

  • 1,130 below peak (13,839)
  • +381 over 30 days · steady
  • +976 over 90 days
  • Next: Purple band at 15,000 — 2,291 to go
  • Reached: Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate44.9%42.0%44.4%meets
Shot accuracy11.0%9.6%11.9%0.9% short
Kill/death ratio0.950.981.030.08 short
Match win rate41.7%43.8%45.2%3.5% short

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

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

Share this profile

CSDB.GGꜱᴀᴀʙPREMIER12,709 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim45
Positioning44
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateWWLLWLWWWL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −0.3pp headshot accuracy · +23ms 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 -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 580ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 622ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 611ms

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).

Aim4.5
Utility3.5
Positioning4.4
Opening Duels0.1

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

iM

Plays most like iM 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

Areas to improve

T-side openings. Opening success drops from 39% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 615ms 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

Aim4.5
Positioning4.4
Utility3.5
Mechanics5.9
Opening Duels1.1
Win Impact5.0

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time611ms−68ms
first ⅓ avg 679ms → last ⅓ avg 611ms
Headshot accuracy17.7%−1.6%
first ⅓ avg 19.4% → last ⅓ avg 17.7%

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

0.26Best match rating · 9–1 · poseidon, 4 Oct →
60%Best headshot accuracy · 0–9 · poseidon, 6 Aug →
438msFastest reaction time · 13–3 · ancient, 22 Aug →
13–1Biggest win · inferno, 15 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
8–12In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 67% over 12cacheWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
nukeA2415–963%-0.01
poseidonA169–756%0.04
mirageS128–467%-0.01
cacheD112–918%-0.02
anubisA95–456%0.01
ancientA95–456%-0.02
infernoB84–450%-0.04
vertigo—41–325%-0.14
dust2—31–233%-0.04
overpass—21–150%0.01
office—10–10%-0.05
train—10–10%-0.06

Across the last 100 tracked matches.

Lifetime stats

32,793Lifetime kills
0.95K/D
2,157Matches
41.7%Match win rate
44.9%Headshot % · Top 50% of Blue band
11.0%Shot accuracy · Top 50% of Blue band
5,198MVPs
706Hours (in match)
2,238Bombs planted
504Bombs defused

Most-used weapons

Lifetime map wins

2,509nuke
1,764inferno
1,177dust2
840vertigo
709train
421office
343cbble
137lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.0%Headshot accuracy
28.6%Accuracy (enemy spotted)
30.8%Spray accuracy
76.5%Counter-strafing
11.3°Preaim
615msReaction time
23.8%T opening success
38.9%CT opening success
0.38Enemies flashed / flash
3.4%Flash assists
6.19HE damage / grenade
9.18Flashes / 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 0.3838 — below the 0.5 mark we flag

    Grenade Lineups →
  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 23.7654% — below the 40% mark we flag

Spend your practice time on Cache

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–70.0516%31 Oct →
mirage13–100.0026%31 Oct →
cache10–13-0.0421%30 Oct →
nuke11–13-0.0321%30 Oct →
nuke13–90.0112%30 Oct →
cache6–13-0.0320%30 Oct →
anubis13–40.0724%29 Oct →
nuke13–6-0.0016%29 Oct →
nuke13–60.0113%29 Oct →
ancient6–13-0.049%24 Oct →
mirage13–9-0.0217%15 Oct →
mirage10–13-0.0213%10 Oct →
anubis11–130.1115%10 Oct →
nuke13–8-0.0117%10 Oct →
nuke13–11-0.0120%8 Oct →
nuke12–16-0.027%8 Oct →
cache8–130.0338%6 Oct →
ancient16–130.0218%6 Oct →
ancient6–13-0.0618%5 Oct →
poseidon9–10.2618%4 Oct →
nuke13–50.0116%4 Oct →
inferno11–13-0.0219%2 Oct →
anubis13–9-0.0614%2 Oct →
cache7–13-0.0517%2 Oct →
nuke13–9-0.0333%2 Oct →
vertigo8–8-0.0913%25 Sept →
mirage13–7-0.0719%25 Sept →
cache3–13-0.118%23 Sept →
poseidon9–50.1315%23 Sept →
office2–13-0.0525%6 Sept →
anubis13–10-0.0120%6 Sept →
nuke9–70.0715%6 Sept →
inferno14–16-0.0711%5 Sept →
cache9–130.0321%4 Sept →
nuke13–16-0.097%4 Sept →
nuke6–13-0.0523%27 Aug →
dust26–13-0.0222%27 Aug →
poseidon7–90.0119%26 Aug →
cache13–40.0822%26 Aug →
mirage13–100.0317%25 Aug →
poseidon9–40.2024%25 Aug →
ancient13–3-0.0512%22 Aug →
dust23–13-0.0512%22 Aug →
ancient13–100.0316%21 Aug →
cache9–13-0.048%21 Aug →
poseidon9–30.1120%20 Aug →
vertigo0–9-0.3329%20 Aug →
dust213–10-0.0619%20 Aug →
nuke13–80.0119%19 Aug →
inferno13–11-0.0418%19 Aug →
nuke9–60.0632%18 Aug →
inferno9–6-0.0325%18 Aug →
poseidon8–80.0921%18 Aug →
mirage13–9-0.0126%16 Aug →
anubis13–11-0.0116%16 Aug →
ancient11–13-0.0716%16 Aug →
anubis4–13-0.0415%15 Aug →
inferno13–10.0318%15 Aug →
ancient0–7-0.0425%15 Aug →
ancient13–90.0417%12 Aug →
nuke13–100.0131%12 Aug →
cache1–13-0.0217%9 Aug →
nuke13–70.0315%9 Aug →
nuke13–7-0.0626%9 Aug →
nuke13–110.0414%8 Aug →
nuke8–8-0.0816%6 Aug →
inferno3–9-0.1513%6 Aug →
poseidon0–9-0.1760%6 Aug →
vertigo9–70.0314%6 Aug →
poseidon9–50.0124%6 Aug →
cache10–13-0.0219%6 Aug →
mirage14–16-0.0112%6 Aug →
nuke10–13-0.0520%3 Aug →
cache13–11-0.0113%3 Aug →
mirage13–3-0.0722%3 Aug →
poseidon9–70.0724%25 Jul →
poseidon7–9-0.0620%11 Jul →
anubis4–130.0424%11 Jul →
vertigo5–9-0.157%4 Jul →
poseidon9–60.0923%4 Jul →
poseidon7–9-0.0618%26 Jun →
nuke8–8-0.1210%26 Jun →
inferno7–9-0.0332%26 Jun →
poseidon9–6-0.1020%24 Jun →
nuke13–100.0222%24 Jun →
poseidon9–40.2219%23 Jun →
anubis11–130.0124%23 Jun →
poseidon7–9-0.1028%2 Jun →
mirage3–13-0.0821%2 Jun →
overpass9–130.0311%29 May →
poseidon6–9-0.0926%29 May →
anubis13–7-0.017%29 May →
mirage13–40.0715%29 May →
nuke6–13-0.0216%29 May →
nuke12–120.0310%26 May →
ancient13–90.0119%26 May →
inferno16–120.0013%21 May →
overpass13–9-0.0218%21 May →
mirage10–13-0.0214%9 May →
train3–13-0.0615%8 May →

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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