SGIBUSHWOOKIE

SGIBUSHWOOKIE — CS2 Stats

US76561198133950106[U:1:173684378]Steam profile ↗✓ No bans

843Tracked matches43%Win rate2020Tracked since
1,358Hours in CS
CSDB Rating5.4 DevelopingPositional Player
CSDB Leaderboard#66229 of 221254 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 22 days played since 27 Jun 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,541 -355 27 Jun29 Jun · 3 days played
20,50420,896peak 20,89627 Jun29 Jun
22,007Peak Premier in tracked matches
22Days played since 2025-06-27

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Performance scores

Aim62
Positioning55
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY50464Last 10050%Win rateLWLLLWWLWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +5.8pp headshot accuracy · −31ms reaction

Win rate down 20pp 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

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 622ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 616ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 631ms

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 PlayerPositioning stands above the rest of this profile (+0.9 against its own average).

Aim6.2
Utility4.6
Positioning5.5
Opening Duels3.7

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 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 620ms 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

Aim6.2
Positioning5.5
Utility4.6
Mechanics7.7
Opening Duels2.7
Win Impact2.8

Composite 5.4/10 (Developing), 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-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time642ms+17ms
first ⅓ avg 624ms → last ⅓ avg 642ms
Headshot accuracy16.4%+1.7%
first ⅓ avg 14.7% → last ⅓ avg 16.4%

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

0.16Best match rating · 9–3 · poseidon, 1 Feb
38%Best headshot accuracy · 13–7 · inferno, 18 Dec
461msFastest reaction time · 7–9 · poseidon, 18 Jul
13–2Biggest win · mirage, 25 Jan

Across the last 100 tracked matches.

Highlights

6Longest win streak
1010In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 62% over 21ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoA2113862%0.02
overpassC146843%-0.01
mirageB137654%-0.00
ancientD123925%-0.02
cacheC83538%-0.02
anubisC83538%0.00
poseidon42250%0.03
nuke43175%0.04
train41325%-0.04
dust221150%0.06
vertigo21150%0.07
debris110100%-0.01
warden1010%-0.04
sanctum110100%0.05
italy110100%0.02
office110100%-0.03
agency110100%0.09
jura110100%0.10
grail110100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

114,393Lifetime kills
1.44K/D · Top 5% of tracked players
4,356Matches
43.5%Match win rate
42.8%Headshot %
20.5%Shot accuracy · Top 5% of tracked players
10,192MVPs
1,358Hours (in match)
4,797Bombs planted
896Bombs defused

Most-used weapons

AK-4727,087
AWP11,903
Negev5,384
XM10143,348
P902,978
SSG 082,386

Lifetime map wins

8,549dust2
4,729inferno
1,191nuke
830train
746vertigo
456lake
412cbble
349office

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

Faceit stats

Combat

8Matches
25%Win rate
0.98Avg K/D
ADR
37%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
1Longest 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.

16.6%Headshot accuracy
32.9%Accuracy (enemy spotted)
35.0%Spray accuracy
84.5%Counter-strafing
10.6°Preaim
620msReaction time
33.6%T opening success
48.1%CT opening success
0.51Enemies flashed / flash
4.0%Flash assists
10.20HE damage / grenade
8.67Flashes / 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

    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 33.6457% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
poseidon7–9-0.0823%18 Jul
debris9–7-0.0119%18 Jul
warden8–13-0.0422%16 May
cache9–130.0523%16 May
cache7–13-0.0528%16 May
anubis13–90.0515%16 May
anubis13–8-0.0019%9 May
cache0–13-0.088%9 May
cache13–90.0022%8 May
cache7–13-0.0318%8 May
cache13–10-0.0513%8 May
cache6–13-0.0416%8 May
cache13–100.0116%30 Apr
overpass7–13-0.119%29 Apr
inferno16–140.0424%25 Apr
overpass5–130.0110%25 Apr
overpass16–14-0.028%25 Apr
inferno13–100.0310%25 Apr
inferno6–130.0211%25 Apr
nuke9–60.0420%12 Mar
inferno9–60.0613%12 Mar
dust24–130.0612%1 Feb
mirage13–4-0.0213%1 Feb
inferno13–5-0.0119%1 Feb
poseidon5–9-0.0821%1 Feb
overpass9–60.0515%1 Feb
poseidon9–30.1626%1 Feb
nuke9–40.0811%1 Feb
nuke9–60.0619%1 Feb
inferno2–9-0.1413%1 Feb
inferno11–130.0222%31 Jan
overpass10–13-0.079%31 Jan
mirage2–13-0.0913%25 Jan
ancient13–10-0.0217%25 Jan
mirage13–20.0211%25 Jan
sanctum9–30.053%25 Jan
poseidon9–20.1025%25 Jan
train14–160.0013%19 Jan
mirage13–40.0929%19 Jan
overpass8–130.0320%19 Jan
train0–5-0.1413%19 Jan
mirage9–13-0.0329%14 Jan
overpass5–13-0.0313%14 Jan
train13–20.0812%14 Jan
ancient11–13-0.0710%14 Jan
train9–13-0.0815%14 Jan
mirage3–13-0.0417%14 Jan
overpass13–100.0219%14 Jan
ancient13–40.0214%14 Jan
inferno13–70.0115%14 Jan
inferno7–90.0218%14 Jan
inferno8–13-0.0225%19 Dec
inferno8–13-0.0228%19 Dec
overpass13–60.0115%19 Dec
overpass13–8-0.052%19 Dec
mirage12–120.0320%18 Dec
vertigo6–130.0722%18 Dec
overpass2–13-0.0115%18 Dec
inferno13–70.0938%18 Dec
mirage13–30.0420%17 Dec
ancient9–13-0.0011%17 Dec
mirage13–11-0.0616%17 Dec
inferno13–30.0518%17 Dec
ancient14–160.0314%17 Dec
ancient9–130.0218%23 Nov
overpass9–13-0.0222%23 Nov
mirage13–50.0920%23 Nov
inferno13–50.1414%23 Nov
ancient13–11-0.0213%23 Nov
vertigo13–110.0719%23 Nov
inferno3–13-0.028%23 Nov
overpass13–100.0517%23 Nov
ancient11–13-0.0214%13 Jul
anubis12–120.0011%12 Jul
nuke3–13-0.0213%29 Jun
inferno13–40.0512%29 Jun
ancient1–13-0.0419%29 Jun
dust213–40.0619%29 Jun
anubis3–13-0.049%28 Jun
inferno13–50.0717%28 Jun
anubis3–3-0.040%28 Jun
ancient6–13-0.0213%28 Jun
inferno13–9-0.038%28 Jun
italy13–40.025%28 Jun
office13–11-0.0310%28 Jun
agency13–110.099%28 Jun
jura13–50.1020%28 Jun
grail13–50.0313%28 Jun
overpass12–120.0012%28 Jun
mirage2–13-0.0626%28 Jun
inferno13–100.0335%28 Jun
anubis15–150.018%27 Jun
ancient6–13-0.0620%27 Jun
inferno14–160.0118%27 Jun
mirage11–130.0223%27 Jun
mirage16–140.0125%27 Jun
anubis7–13-0.027%27 Jun
anubis16–120.0717%27 Jun
ancient7–130.0022%27 Jun
inferno16–14-0.0512%27 Jun

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 →