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π˜³π˜Άγƒ π˜’π˜™π˜™

π˜³π˜Άγƒ π˜’π˜™π˜™ β€” CS2 Stats

76561199496940484[U:1:1536674756]Steam profile β†—

1,077Tracked matches71%Win rate2023Tracked since
669Hours in CS
CSDB Rating6.9 SolidAggressive Rifler
Premier CS Rating26,469Top 25% of 819 CSDB-tracked playersRed band Β· top ~2.3% of ranked players (population est.)
CSDB Leaderboard#1381 of 17214 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGπ˜³π˜Άγƒ π˜’π˜™π˜™FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER26,469 Β· Red bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere β€” it is generated in your browser when you click.

Performance scores

Aim80
Positioning59
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY60–34–6Last 10060%Win rateWLTWWWLWLW

Last 10 vs previous 10: -20pp win rate Β· -0.00 avg rating

Player DNA

Primary style: Aggressive Rifler β€” Takes opening fights often, backed by a strong aim profile.

Aim8.0
Aggression10.0
Utility6.1
Positioning5.9
Opening Duels5.5
Clutch0.0

Strong CT-side opener

Style profile from tracked-match aggregates β€” how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

sh1ro

Plays most like sh1ro 93% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Strengths

CT openings. 67% CT opening-duel success β€” winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 67% on CT to 36% on T β€” the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 65% of shots are taken properly stopped β€” moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.0
Positioning5.9
Utility6.1
Mechanics3.4
Opening Duels5.5
Win Impact10.0

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (Γ—1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.02
first β…“ avg 0.03 β†’ last β…“ avg 0.05
Reaction time505msβˆ’16ms
first β…“ avg 521ms β†’ last β…“ avg 505ms
Headshot accuracy23.2%βˆ’0.7%
first β…“ avg 23.9% β†’ last β…“ avg 23.2%

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.

Highlights

0.19Best rating β€” ancient 1–3
13–1Biggest win β€” mirage
6Longest win streak
6–4In matches decided by ≀2 rounds
4Overtime games

Map breakdown

nukeBest map Β· 78% over 27ancientWeakest map Β· 38% over 13
MapGradePlayedRecordWin rateAvg rating
nukeS2721–678%0.04
mirageA2415–963%0.05
ancientC135–838%0.07
dust2B126–650%0.03
infernoA95–456%0.04
overpassB84–450%0.02
trainβ€”42–250%-0.00
anubisβ€”22–0100%0.04
vertigoβ€”10–10%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,088Lifetime kills
1.06K/D Β· Top 50% of tracked players
1,905Matches
47.3%Match win rate Β· Top 50% of tracked players
49.8%Headshot % Β· Top 50% of tracked players
5.5%Shot accuracy
4,732MVPs
669Hours (in match)
1,236Bombs planted
647Bombs defused

Most-used weapons

AK-4717,317
M4A4 / M4A1-S7,299
AWP5,827
Desert Eagle4,141
P2000 / USP-S2,165
Glock-181,600
SSG 08852
MP9764
MAC-10514
Galil AR428

Lifetime map wins

3,416nuke
2,498dust2
857inferno
641vertigo
125train
47office
13italy
9ar_shoots

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

Faceit stats

Combat

7Matches
100%Win rate
0.88Avg K/D
72.7ADR
31%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2100%0.9011.5
Ancient2100%0.7613.0
Train1100%1.2421.0
Nuke1100%0.699.0
Anubis1100%0.9314.0

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches β€” stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.1%Headshot accuracy
39.4%Accuracy (enemy spotted)
40.9%Spray accuracy
65.4%Counter-strafing
9.2Β°Preaim
506msReaction time
36.2%T opening success
67.4%CT opening success
0.52Enemies flashed / flash
8.2%Flash assists
8.99HE damage / grenade
14.91Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” 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 36.2331% β€” below the 40% mark we flag

Spend your practice time on Ancient

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

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

Ancient callouts & strategy β†’Ancient grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
nuke13–80.047%3 Oct β†’
train1–13-0.1130%3 Oct β†’
ancient12–120.0113%3 Oct β†’
anubis13–80.0822%3 Oct β†’
nuke13–50.0824%3 Oct β†’
nuke13–100.0212%3 Oct β†’
mirage6–130.0324%2 Oct β†’
mirage13–110.0632%1 Oct β†’
ancient1–30.1930%1 Oct β†’
mirage13–80.0815%1 Oct β†’
dust213–110.0220%1 Oct β†’
dust213–70.0218%1 Oct β†’
ancient12–120.0825%1 Oct β†’
mirage13–10.1431%30 Sept β†’
mirage6–13-0.0427%30 Sept β†’
inferno13–30.0319%30 Sept β†’
nuke13–110.1011%30 Sept β†’
nuke13–60.1026%28 Sept β†’
mirage13–100.1115%28 Sept β†’
mirage13–10-0.0217%28 Sept β†’
mirage13–20.1324%28 Sept β†’
dust28–130.0220%26 Sept β†’
inferno13–30.0921%23 Sept β†’
overpass13–100.0614%20 Sept β†’
inferno13–70.0513%20 Sept β†’
dust27–80.0442%19 Sept β†’
vertigo10–130.0022%19 Sept β†’
nuke13–80.0722%19 Sept β†’
nuke10–130.0130%18 Sept β†’
nuke13–90.0633%18 Sept β†’
mirage13–4-0.0123%15 Sept β†’
mirage13–100.0733%14 Sept β†’
mirage11–130.0951%14 Sept β†’
train6–130.0228%14 Sept β†’
train13–50.0835%14 Sept β†’
ancient9–130.0232%13 Sept β†’
overpass13–110.0322%13 Sept β†’
train13–50.0026%13 Sept β†’
dust23–13-0.0333%12 Sept β†’
mirage3–130.0132%12 Sept β†’
nuke13–60.0020%12 Sept β†’
nuke12–120.0236%11 Sept β†’
nuke13–30.0030%11 Sept β†’
nuke13–90.0628%11 Sept β†’
nuke13–20.1029%10 Sept β†’
dust213–90.0420%6 Sept β†’
nuke13–60.0824%6 Sept β†’
inferno5–13-0.0222%5 Sept β†’
nuke10–130.0214%5 Sept β†’
nuke5–130.0528%4 Sept β†’
dust213–30.0238%2 Sept β†’
overpass13–90.0623%1 Sept β†’
dust29–13-0.0250%31 Aug β†’
anubis13–70.0024%31 Aug β†’
nuke13–50.0736%31 Aug β†’
nuke13–40.0617%28 Aug β†’
nuke13–9-0.0224%28 Aug β†’
ancient13–70.1127%28 Aug β†’
ancient9–130.1132%28 Aug β†’
nuke13–110.0827%27 Aug β†’
mirage13–100.0331%26 Aug β†’
nuke13–8-0.0028%26 Aug β†’
mirage13–70.1030%18 Aug β†’
mirage3–5-0.0418%18 Aug β†’
dust215–150.0527%17 Aug β†’
inferno10–130.0813%16 Aug β†’
mirage16–120.0529%16 Aug β†’
nuke13–40.0017%16 Aug β†’
ancient13–90.0923%16 Aug β†’
overpass0–4-0.0550%16 Aug β†’
mirage13–90.0522%16 Aug β†’
overpass6–13-0.0122%16 Aug β†’
mirage1–40.1833%14 Aug β†’
nuke15–15-0.0135%9 Aug β†’
ancient13–70.0420%9 Aug β†’
overpass13–60.0226%8 Aug β†’
mirage13–10.0439%8 Aug β†’
ancient13–90.0429%8 Aug β†’
overpass6–13-0.0423%7 Aug β†’
dust213–100.1137%6 Aug β†’
dust24–130.0020%6 Aug β†’
overpass10–130.1028%4 Aug β†’
mirage12–120.0621%4 Aug β†’
inferno7–13-0.0138%3 Aug β†’
ancient11–130.0626%3 Aug β†’
dust213–100.0526%3 Aug β†’
mirage7–130.0221%3 Aug β†’
nuke13–60.0427%3 Aug β†’
mirage8–130.000%31 Jul β†’
mirage13–80.0422%31 Jul β†’
nuke1–130.0119%27 Jul β†’
mirage4–13-0.090%27 Jul β†’
nuke13–80.0412%27 Jul β†’
ancient5–130.0235%25 Jul β†’
inferno16–130.0523%24 Jul β†’
inferno13–90.0311%24 Jul β†’
ancient13–70.0933%24 Jul β†’
inferno8–130.1010%24 Jul β†’
ancient10–130.0515%24 Jul β†’
nuke13–50.0526%24 Jul β†’

Match data via Leetify.

Recent teammates

Milestones

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

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