bogieeee

bogieeee — CS2 Stats

MT76561197986616556[U:1:26350828]Steam profile ↗✓ No bans

777Tracked matches47%Win rate2020Tracked since
CSDB Rating4.5 DevelopingSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGbogieeeeFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim48
Positioning36
Utility73

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateWLWLLLLWWL

Last 10 vs previous 10: 0pp win rate · +0.06 avg rating · +1.4pp headshot accuracy · +15ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 580ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 588ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 581ms

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 (+3.3 against its own average).

Aim4.8
Utility7.3
Positioning3.6
Opening Duels0.0
Clutch5.0

Effective flashes

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 67% 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

CT openings. Opening success drops from 44% on T to 23% on CT — first contacts on the defending side are being lost.

Reaction time. 582ms 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

Aim4.8
Positioning3.6
Utility7.3
Mechanics4.5
Opening Duels1.8
Win Impact3.9

Composite 4.5/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time585ms−70ms
first ⅓ avg 655ms → last ⅓ avg 585ms
Headshot accuracy16.1%−1.2%
first ⅓ avg 17.2% → last ⅓ avg 16.1%

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

0.20Best match rating · 13–6 · nuke, 22 Sept →
33%Best headshot accuracy · 1–13 · train, 14 Aug →
391msFastest reaction time · 6–13 · cache, 5 Aug →
13–0Biggest win · cache, 2 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–2In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 86% over 7dust2Weakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
nukeB2311–1248%0.02
cacheC208–1240%-0.02
ancientA1810–856%-0.01
infernoB115–645%0.02
mirageS76–186%0.00
anubisS76–186%-0.01
dust2D62–433%-0.01
train—41–325%-0.02
vertigo—20–20%-0.05
debris—22–0100%0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

130Matches
46%Win rate
1.01Avg K/D
71.3ADR
38%Headshot %

Clutches & streaks

45%1v1 clutch win
20%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust250%0.7613.6
Mirage425%0.628.8
Inferno450%1.0413.0
Nuke333%0.7712.0
Cache333%0.7911.7
Ancient20%0.7619.5
Anubis1100%1.5830.0

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.

15.7%Headshot accuracy
31.0%Accuracy (enemy spotted)
34.4%Spray accuracy
70.3%Counter-strafing
10.9°Preaim
582msReaction time
44.1%T opening success
23.0%CT opening success
0.71Enemies flashed / flash
7.6%Flash assists
11.34HE damage / grenade
13.68Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 22.9616% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–50.079%1 Oct →
nuke1–13-0.0319%1 Oct →
ancient13–10-0.0115%1 Oct →
ancient10–13-0.0112%30 Sept →
nuke10–130.0316%30 Sept →
vertigo8–13-0.0822%23 Sept →
ancient9–130.0111%22 Sept →
nuke13–60.2016%22 Sept →
cache13–60.0413%21 Sept →
inferno2–130.0415%21 Sept →
nuke6–13-0.0213%20 Sept →
ancient6–13-0.0618%20 Sept →
cache2–13-0.0611%20 Sept →
nuke13–10-0.057%20 Sept →
ancient13–9-0.0112%19 Sept →
mirage13–11-0.0211%19 Sept →
ancient13–110.0423%19 Sept →
dust28–13-0.0615%19 Sept →
nuke4–13-0.0714%18 Sept →
dust23–13-0.069%18 Sept →
ancient13–7-0.0320%17 Sept →
anubis13–40.0422%16 Sept →
anubis13–8-0.0310%16 Sept →
dust210–13-0.0132%14 Sept →
nuke9–13-0.0016%14 Sept →
cache10–4-0.0417%14 Sept →
mirage5–13-0.0315%10 Sept →
ancient13–6-0.0020%10 Sept →
cache13–6-0.0213%3 Sept →
train1–13-0.0621%3 Sept →
nuke13–6-0.0121%3 Sept →
anubis13–11-0.0416%3 Sept →
cache8–13-0.0724%2 Sept →
nuke12–12-0.0517%1 Sept →
cache2–13-0.0515%1 Sept →
nuke9–130.0510%1 Sept →
inferno12–12-0.029%31 Aug →
ancient13–40.017%30 Aug →
cache13–100.0220%30 Aug →
ancient13–60.014%30 Aug →
inferno13–110.0325%29 Aug →
inferno12–12-0.0519%29 Aug →
nuke7–130.019%29 Aug →
ancient8–13-0.0812%28 Aug →
nuke13–90.0817%27 Aug →
cache8–13-0.0216%26 Aug →
nuke13–90.0321%26 Aug →
cache9–130.0115%26 Aug →
cache5–13-0.0413%26 Aug →
cache5–13-0.0229%26 Aug →
ancient1–13-0.0613%24 Aug →
cache12–12-0.0113%18 Aug →
mirage13–110.0113%18 Aug →
mirage13–20.1019%16 Aug →
vertigo7–9-0.0120%16 Aug →
inferno5–90.0226%16 Aug →
inferno3–80.018%15 Aug →
cache6–13-0.0511%15 Aug →
nuke13–10.0414%15 Aug →
nuke13–50.1122%15 Aug →
ancient12–120.1114%14 Aug →
train1–13-0.0533%14 Aug →
train13–60.0112%14 Aug →
train12–120.0211%14 Aug →
anubis13–10-0.048%13 Aug →
ancient13–100.0018%12 Aug →
anubis13–60.0222%12 Aug →
dust213–50.0415%12 Aug →
mirage13–5-0.0633%12 Aug →
nuke5–130.0526%12 Aug →
nuke4–13-0.0713%11 Aug →
dust213–60.0312%11 Aug →
nuke13–30.0225%11 Aug →
cache13–100.009%11 Aug →
cache6–13-0.0913%5 Aug →
cache13–70.0315%5 Aug →
nuke8–130.0319%5 Aug →
ancient10–13-0.0519%4 Aug →
inferno8–130.0318%4 Aug →
debris9–30.1713%4 Aug →
inferno10–00.0522%3 Aug →
mirage13–110.0119%3 Aug →
cache0–6-0.0317%3 Aug →
inferno13–10.0211%2 Aug →
ancient5–13-0.0620%2 Aug →
cache13–00.0014%2 Aug →
nuke13–60.0311%2 Aug →
inferno9–50.0322%2 Aug →
debris9–40.0231%2 Aug →
inferno13–60.0216%2 Aug →
ancient13–6-0.0111%1 Aug →
anubis12–60.0620%28 Jul →
anubis6–13-0.0920%19 Jul →
ancient13–60.0311%19 Jul →
nuke11–130.0027%18 Jul →
dust29–130.016%15 Jul →
cache4–13-0.0217%9 Jul →
mirage13–40.0318%9 Jul →
cache13–110.0716%9 Jul →
nuke13–40.0412%8 Jul →

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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