A bus

A bus — CS2 Stats

76561199629618564[U:1:1669352836]Steam profile ↗✓ No bans

1,063Tracked matches45%Win rate2024Tracked since
CSDB Rating4.8 DevelopingPositional Player
FaceitLevel 7 · 1,561 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 54 days played since 22 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,586 -2,003 22 Nov17 Jan · 10 days played
16,58618,783peak 18,78322 Nov17 Jan
18,943Peak Premier in tracked matches
1,561Highest Faceit ELO seen on CSDB
54Days played since 2025-11-22

Faceit ELO

  • At peak — 1,561
  • Next: Level 9 at 1,751 190 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

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.

Share this profile

CSDB.GGA busFACEITLevel 7 · 1,561 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,561csdb.gg/stats

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Performance scores

Aim66
Positioning43
Utility31

0–100 skill scores via Leetify.

Recent form

COLD49465Last 10049%Win rateLLWLLLTWLW

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +8.8pp headshot accuracy · +17ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 619ms

Last 10

  • 361 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 660ms

Last 20

  • 9101 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 652ms

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 (+1.4 against its own average).

Aim6.6
Utility3.1
Positioning4.3
Opening Duels0.9
Clutch3.2

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

sh1ro

Plays most like sh1ro 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 42% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms 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

Aim6.6
Positioning4.3
Utility3.1
Mechanics8.3
Opening Duels1.5
Win Impact3.3

Composite 4.8/10 (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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time652ms−22ms
first ⅓ avg 674ms → last ⅓ avg 652ms
Headshot accuracy20.3%+1.9%
first ⅓ avg 18.4% → last ⅓ avg 20.3%

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

0.29Best match rating · 9–1 · poseidon, 26 Mar
44%Best headshot accuracy · 6–13 · mirage, 16 Jan
398msFastest reaction time · 3–9 · vertigo, 1 Dec
13–1Biggest win · ancient, 17 Jan

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
88In matches decided by ≤2 rounds
7Overtime games

Map breakdown

vertigoBest map · 75% over 8mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA24141058%0.03
overpassA2011955%0.02
infernoD1551033%0.02
ancientA95456%0.00
vertigoS86275%0.03
mirageD61517%-0.04
poseidonC52340%0.10
anubis42250%-0.00
train41325%-0.02
dust232167%0.01
rooftop2020%-0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

544Matches
51%Win rate
0.93Avg K/D
72.2ADR
45%Headshot %

Clutches & streaks

36%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke11958%1.0114.5
Mirage9940%0.7812.1
Ancient7653%0.9214.1
Anubis7651%0.9413.8
Inferno5847%0.9113.6
Overpass4654%1.0115.7
Train2564%1.1314.0
Vertigo1958%0.9611.8

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.

19.2%Headshot accuracy
31.5%Accuracy (enemy spotted)
30.9%Spray accuracy
87.3%Counter-strafing
9.3°Preaim
616msReaction time
23.0%T opening success
42.0%CT opening success
0.41Enemies flashed / flash
2.9%Flash assists
4.90HE damage / grenade
7.05Flashes / 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 0.4084 — 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 22.9739% — below the 40% mark we flag

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke5–80.0231%17 Sept
mirage2–6-0.0733%3 Jul
nuke13–110.0141%25 Jun
nuke8–13-0.0211%19 May
inferno7–13-0.0220%13 May
nuke9–13-0.0012%10 May
poseidon8–8-0.0121%10 May
nuke9–00.2527%10 May
ancient9–13-0.0414%9 May
nuke9–30.0742%9 May
dust213–11-0.0421%5 May
nuke9–50.1015%1 May
ancient9–13-0.049%29 Apr
overpass13–20.0223%24 Apr
nuke10–130.0324%24 Apr
nuke9–50.0616%24 Apr
inferno13–110.0313%22 Apr
poseidon9–40.1129%22 Apr
inferno4–90.0215%21 Apr
inferno1–1-0.170%21 Apr
poseidon6–90.1218%21 Apr
nuke4–13-0.0119%21 Apr
inferno5–9-0.0518%20 Apr
ancient13–50.0117%18 Apr
anubis13–100.0015%18 Apr
vertigo12–12-0.0317%15 Apr
inferno5–90.0218%15 Apr
anubis7–13-0.0323%13 Apr
poseidon8–80.0132%13 Apr
nuke5–13-0.0220%26 Mar
poseidon9–10.2923%26 Mar
dust213–40.0724%23 Mar
vertigo9–50.1010%9 Feb
overpass3–130.0216%7 Feb
nuke13–90.0120%3 Feb
ancient13–8-0.009%3 Feb
mirage13–16-0.0017%30 Jan
overpass13–90.0111%30 Jan
nuke13–10-0.0628%30 Jan
anubis13–6-0.0018%30 Jan
inferno13–50.0734%30 Jan
mirage9–13-0.0712%27 Jan
anubis12–160.0216%26 Jan
overpass16–19-0.0014%25 Jan
nuke3–13-0.1120%17 Jan
ancient13–10.0917%17 Jan
mirage6–13-0.0244%16 Jan
train11–13-0.0124%12 Jan
inferno8–80.0913%12 Jan
overpass9–7-0.0510%11 Jan
nuke13–7-0.0120%5 Jan
ancient13–16-0.0116%2 Jan
nuke6–90.0628%27 Dec
overpass9–20.0914%27 Dec
overpass13–10-0.0222%27 Dec
overpass1–13-0.0324%22 Dec
overpass3–9-0.128%20 Dec
overpass9–30.2020%20 Dec
inferno14–160.0622%19 Dec
dust210–13-0.0015%18 Dec
ancient13–90.0610%16 Dec
overpass11–13-0.0317%15 Dec
overpass7–9-0.0619%15 Dec
nuke3–9-0.0220%14 Dec
overpass9–20.1540%14 Dec
vertigo9–70.0927%14 Dec
inferno9–70.0117%13 Dec
nuke9–70.1622%11 Dec
nuke9–6-0.0316%11 Dec
overpass9–40.0812%11 Dec
nuke16–130.0717%9 Dec
train13–5-0.0618%9 Dec
inferno5–90.0633%8 Dec
inferno9–60.0527%8 Dec
vertigo9–50.0729%7 Dec
overpass2–9-0.1022%4 Dec
mirage13–8-0.019%3 Dec
rooftop6–9-0.0530%3 Dec
rooftop0–9-0.1812%3 Dec
train9–13-0.0018%1 Dec
overpass6–90.1717%1 Dec
overpass9–50.0115%1 Dec
vertigo3–9-0.0920%1 Dec
nuke7–9-0.0213%30 Nov
overpass13–90.0522%30 Nov
overpass15–150.0421%30 Nov
nuke9–20.0911%30 Nov
vertigo9–30.0819%30 Nov
inferno9–4-0.0219%30 Nov
vertigo9–7-0.015%29 Nov
mirage10–13-0.0211%27 Nov
inferno9–130.0315%27 Nov
nuke13–10.0725%26 Nov
ancient4–13-0.0418%26 Nov
train11–13-0.0130%23 Nov
vertigo9–60.0727%23 Nov
ancient13–8-0.0215%23 Nov
overpass13–100.0615%22 Nov
inferno11–130.0420%22 Nov
nuke13–40.096%22 Nov

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 →