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sab_by

sab_by — CS2 Stats

76561198385711901[U:1:425446173]Steam profile ↗✓ No bans

120Tracked matches55%Win rate2025Tracked since
CSDB Rating4.7 DevelopingSupport
Premier CS Rating4,652Grey band · top ~80.3% of ranked players (population est.)
CSDB Leaderboard#204297 of 260213 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Aug 2025 (450 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: 4,652 +122 26 Jul – 14 Aug · 13 days played
3,7915,106peak 5,10626 Jul14 Aug
5,106Peak Premier in tracked matches
22Days played since 2025-07-17

Premier CS Rating

  • 454 below peak (5,106)
  • Next: Light Blue band at 5,000 — 348 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGsab_byPREMIER4,652 · Grey bandcsdb.gg/stats

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Performance scores

Aim45
Positioning45
Utility63

0–100 skill scores via Leetify.

Recent form

HOT53–44–3Last 10053%Win rateWWWWWLLLWW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · −0.4pp headshot accuracy · −45ms reaction

Win rate up 50pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 15%
  • Avg reaction 783ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 742ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 765ms

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 (+2.7 against its own average).

Aim4.5
Utility6.3
Positioning4.5
Opening Duels1.8
Clutch1.8

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

Twistzz

Plays most like Twistzz 70% 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

Reaction time. 759ms 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
Positioning4.5
Utility6.3
Mechanics8.4
Opening Duels1.1
Win Impact6.7

Composite 4.7/10 (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 rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time748ms+22ms
first ⅓ avg 726ms → last ⅓ avg 748ms
Headshot accuracy13.3%−4.3%
first ⅓ avg 17.6% → last ⅓ avg 13.3%

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

0.15Best match rating · 13–3 · nuke, 1 Aug →
56%Best headshot accuracy · 0–6 · mirage, 25 Jul →
547msFastest reaction time · 13–11 · dust2, 24 Jul →
13–0Biggest win · ancient, 27 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W5Current streak
5–1In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 60% over 25mirageWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
dust2A2515–1060%0.00
infernoA1710–759%0.00
mirageC156–940%0.00
nukeB136–746%0.01
trainA116–555%0.01
ancientB105–550%0.03
grail—20–20%-0.05
office—21–150%-0.01
italy—22–0100%0.01
vertigo—10–10%-0.06
agency—11–0100%0.05
jura—11–0100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

31Matches
48%Win rate
0.85Avg K/D
68.7ADR
46%Headshot %

Clutches & streaks

29%1v1 clutch win
13%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1242%0.9013.7
Dust2850%0.9414.8
Nuke540%0.599.0
Inferno250%1.1913.0
Train1100%0.759.0
Anubis10%0.285.0
Overpass1100%1.129.0
Ancient1100%0.7915.0

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.

13.1%Headshot accuracy
37.4%Accuracy (enemy spotted)
35.8%Spray accuracy
87.7%Counter-strafing
13.4°Preaim
759msReaction time
30.9%T opening success
37.6%CT opening success
0.53Enemies flashed / flash
6.7%Flash assists
10.05HE damage / grenade
6.98Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.4368° — above the 12° mark we flag

    Aim Training →
  2. 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 13.1156% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 759.2087ms — above the 700ms mark we flag

    Aim Training →
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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–40.0626%14 Aug →
inferno13–100.019%14 Aug →
dust213–110.0414%13 Aug →
train13–60.079%13 Aug →
mirage13–90.0614%13 Aug →
nuke4–13-0.0010%10 Aug →
ancient3–13-0.086%10 Aug →
mirage9–13-0.069%7 Aug →
train13–11-0.0213%7 Aug →
dust213–5-0.0113%7 Aug →
mirage6–13-0.0612%6 Aug →
train12–12-0.0413%3 Aug →
inferno7–130.0116%3 Aug →
ancient6–130.0611%2 Aug →
vertigo10–13-0.0611%2 Aug →
ancient13–30.0713%2 Aug →
train9–13-0.0410%2 Aug →
grail4–9-0.0710%1 Aug →
agency13–70.0515%1 Aug →
grail5–13-0.0217%1 Aug →
inferno8–80.0511%1 Aug →
nuke13–30.1512%1 Aug →
train11–13-0.0022%31 Jul →
inferno9–50.0314%31 Jul →
mirage13–60.0126%31 Jul →
office13–1-0.0211%31 Jul →
italy13–5-0.0113%31 Jul →
inferno6–13-0.067%31 Jul →
dust213–90.0411%31 Jul →
dust213–10.0115%31 Jul →
inferno6–13-0.0615%30 Jul →
inferno13–10.046%30 Jul →
nuke2–50.0722%30 Jul →
nuke9–130.0415%30 Jul →
dust212–16-0.0017%30 Jul →
nuke7–13-0.0118%30 Jul →
jura13–4-0.0115%30 Jul →
mirage13–5-0.0611%30 Jul →
mirage9–130.0116%30 Jul →
dust213–16-0.0616%30 Jul →
dust213–100.0120%29 Jul →
nuke13–9-0.0615%29 Jul →
nuke13–8-0.0110%29 Jul →
dust28–13-0.0620%29 Jul →
inferno5–13-0.0011%28 Jul →
mirage2–13-0.0712%28 Jul →
nuke9–13-0.0110%28 Jul →
nuke12–120.0818%28 Jul →
train8–13-0.0315%28 Jul →
nuke13–70.0120%28 Jul →
dust27–130.0114%28 Jul →
mirage9–130.0527%28 Jul →
italy13–40.0221%27 Jul →
nuke9–1-0.0124%27 Jul →
office8–13-0.0012%27 Jul →
ancient13–00.1421%27 Jul →
dust213–70.0226%27 Jul →
ancient10–130.0013%27 Jul →
inferno13–30.0132%27 Jul →
ancient13–9-0.0110%26 Jul →
inferno2–13-0.0824%26 Jul →
dust27–13-0.0513%26 Jul →
inferno13–80.0111%26 Jul →
ancient13–80.0315%26 Jul →
dust24–13-0.067%26 Jul →
dust213–50.0330%26 Jul →
mirage13–50.0615%25 Jul →
mirage0–6-0.0456%25 Jul →
ancient9–130.0021%24 Jul →
mirage13–50.0613%24 Jul →
dust213–40.0726%24 Jul →
mirage13–20.1113%24 Jul →
dust213–11-0.008%24 Jul →
dust20–13-0.1313%24 Jul →
ancient6–130.0219%24 Jul →
mirage6–100.059%24 Jul →
dust213–10.0720%24 Jul →
dust25–130.0616%24 Jul →
inferno13–40.0326%23 Jul →
dust213–8-0.0117%22 Jul →
dust213–4-0.0118%22 Jul →
inferno9–60.0113%22 Jul →
train13–30.1119%22 Jul →
dust213–90.0718%22 Jul →
inferno9–50.099%21 Jul →
nuke5–9-0.0725%21 Jul →
inferno2–9-0.1211%21 Jul →
mirage6–13-0.0118%19 Jul →
dust213–10.0917%19 Jul →
train10–13-0.1111%19 Jul →
dust213–70.0313%19 Jul →
train13–50.0423%19 Jul →
mirage0–6-0.0425%18 Jul →
dust24–13-0.0516%18 Jul →
inferno13–110.0917%18 Jul →
nuke13–3-0.0024%18 Jul →
dust25–13-0.0511%18 Jul →
train13–11-0.0018%17 Jul →
train13–10.115%17 Jul →
inferno13–10-0.0310%17 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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