Sbcjkmt74gdcbi

Sbcjkmt74gdcbi — CS2 Stats

US76561198352217729[U:1:391952001]Steam profile ↗✓ No bans

1,975Tracked matches57%Win rate2023Tracked since
CSDB Rating5.8 SolidPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

+117Tracked matches · now 1,975
−0.5ppWin rate · 57.1% → 56.7%

Rating over time

2,465Peak Premier on CSDB
32Days played since 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGSbcjkmt74gdcbiFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning65
Utility21

0–100 skill scores via Leetify.

Recent form

HOT57–38–5Last 10057%Win rateWLWWWLLWWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −2.0pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 642ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 610ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 599ms

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 (+2.1 against its own average).

Aim6.4
Utility2.1
Positioning6.5
Opening Duels4.5

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 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

T openings. 73% T opening-duel success — entries that actually open the round.

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 73% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 610ms 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

Aim6.4
Positioning6.5
Utility2.1
Mechanics6.1
Opening Duels6.4
Win Impact7.2

Composite 5.8/10 (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 rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time603ms+20ms
first ⅓ avg 583ms → last ⅓ avg 603ms
Headshot accuracy22.0%−3.7%
first ⅓ avg 25.7% → last ⅓ avg 22.0%

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

0.30Best match rating · 9–3 · nuke, 19 Sept →
55%Best headshot accuracy · 4–7 · train, 4 Oct →
398msFastest reaction time · 8–8 · inferno, 17 Sept →
13–1Biggest win · overpass, 16 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–6In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 82% over 11cacheWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2A2212–1055%-0.01
infernoA2011–955%-0.01
nukeA1811–761%0.01
cacheC135–838%0.00
mirageS119–282%0.00
ancient—43–175%0.01
train—41–325%-0.00
vertigo—43–175%0.04
overpass—22–0100%0.01
anubis—20–20%-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

1Matches
0%Win rate
0.33Avg K/D
—ADR
20%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

21.8%Headshot accuracy
35.7%Accuracy (enemy spotted)
28.5%Spray accuracy
77.4%Counter-strafing
10.5°Preaim
610msReaction time
72.7%T opening success
41.1%CT opening success
0.35Enemies flashed / flash
3.1%Flash assists
4.02HE damage / grenade
4.71Flashes / 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 0.348 — below the 0.5 mark we flag

    Grenade Lineups →
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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
overpass13–10.0415%16 Oct →
cache11–13-0.0914%16 Oct →
dust213–8-0.0224%15 Oct →
nuke13–100.0335%15 Oct →
nuke13–6-0.0225%15 Oct →
dust25–13-0.0319%14 Oct →
anubis5–13-0.0133%14 Oct →
inferno7–4-0.050%14 Oct →
overpass13–4-0.0221%12 Oct →
ancient13–80.0015%12 Oct →
cache13–50.0539%12 Oct →
dust213–40.0013%12 Oct →
cache0–11-0.0417%12 Oct →
nuke13–6-0.0325%12 Oct →
dust210–13-0.1015%11 Oct →
train4–13-0.0228%10 Oct →
mirage13–80.0315%10 Oct →
nuke13–70.1115%10 Oct →
dust213–30.0723%10 Oct →
vertigo5–13-0.0432%8 Oct →
nuke13–9-0.0123%8 Oct →
mirage13–40.1126%8 Oct →
nuke9–130.0320%8 Oct →
dust213–30.0310%8 Oct →
inferno10–13-0.0419%7 Oct →
cache6–13-0.0127%7 Oct →
cache10–130.0023%6 Oct →
inferno13–100.0518%6 Oct →
dust29–13-0.0131%5 Oct →
nuke5–130.0024%5 Oct →
dust211–13-0.077%5 Oct →
dust26–13-0.0320%5 Oct →
train4–7-0.0155%4 Oct →
nuke13–6-0.0322%4 Oct →
nuke11–13-0.0628%4 Oct →
inferno13–60.0521%4 Oct →
dust28–130.0431%4 Oct →
nuke9–13-0.0611%4 Oct →
cache5–130.0117%3 Oct →
vertigo13–6-0.0019%3 Oct →
nuke13–60.1026%2 Oct →
dust213–7-0.0215%2 Oct →
train3–130.0633%2 Oct →
mirage8–13-0.0311%2 Oct →
inferno13–8-0.0135%1 Oct →
cache13–11-0.0112%1 Oct →
inferno3–130.0036%30 Sept →
inferno13–100.0826%30 Sept →
cache13–30.0317%30 Sept →
mirage13–8-0.0318%30 Sept →
dust25–13-0.0118%30 Sept →
inferno11–13-0.0516%28 Sept →
cache5–13-0.0626%28 Sept →
inferno8–8-0.0612%27 Sept →
inferno6–9-0.0317%27 Sept →
dust26–13-0.0720%26 Sept →
nuke13–110.0122%26 Sept →
mirage13–70.0215%24 Sept →
dust23–13-0.0032%24 Sept →
dust213–20.0417%24 Sept →
inferno13–60.0833%23 Sept →
dust213–6-0.0428%23 Sept →
mirage13–70.0120%22 Sept →
vertigo9–30.1231%22 Sept →
inferno13–10-0.0321%21 Sept →
cache12–120.0411%21 Sept →
mirage13–50.0520%21 Sept →
mirage13–100.0115%21 Sept →
nuke6–9-0.0416%21 Sept →
cache13–10.0629%20 Sept →
nuke10–13-0.0913%20 Sept →
dust29–0-0.0350%20 Sept →
nuke9–30.3044%19 Sept →
nuke9–4-0.0419%19 Sept →
inferno9–60.0221%19 Sept →
nuke9–60.0643%19 Sept →
inferno7–130.0827%19 Sept →
cache13–80.0720%19 Sept →
inferno7–13-0.0530%18 Sept →
train13–6-0.0338%17 Sept →
mirage13–11-0.0323%17 Sept →
dust212–12-0.0019%17 Sept →
inferno8–8-0.0725%17 Sept →
mirage2–9-0.0424%17 Sept →
dust213–80.0333%17 Sept →
cache6–13-0.0233%16 Sept →
ancient13–110.0033%16 Sept →
anubis9–13-0.0017%16 Sept →
ancient11–13-0.0019%15 Sept →
ancient13–60.0423%15 Sept →
nuke7–8-0.0724%14 Sept →
inferno9–4-0.0850%14 Sept →
mirage13–6-0.0620%14 Sept →
dust213–7-0.0010%14 Sept →
dust213–80.0127%13 Sept →
inferno13–11-0.0521%13 Sept →
inferno12–12-0.0128%13 Sept →
vertigo13–110.0929%12 Sept →
dust213–50.037%10 Sept →
inferno13–100.0218%10 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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