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𝔀𝓲𝓼𝓱𝔂𝔀π“ͺ𝓼𝓱𝔂

𝔀𝓲𝓼𝓱𝔂𝔀π“ͺ𝓼𝓱𝔂 β€” CS2 Stats

76561198839359862[U:1:879094134]Steam profile β†—βœ“ No bans

4,955Tracked matches32%Win rate2020Tracked since
8,540Hours in CS62Hrs last 2 wks
CSDB Rating5.7 SolidAggressive Rifler
Premier CS Rating26,593Top 25% of 819 CSDB-tracked playersRed band Β· top ~2.2% of ranked players (population est.)
CSDB Leaderboard#1054 of 14007 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GG𝔀𝓲𝓼𝓱𝔂𝔀π“ͺ𝓼𝓱𝔂PREMIER26,593 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
Positioning56
Utility35

0–100 skill scores via Leetify.

Recent form

COLD32–62–6Last 10032%Win rateTWTTLWLLLL

Last 10 vs previous 10: -10pp 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
Aggression7.2
Utility3.5
Positioning5.6
Opening Duels3.5
Clutch3.8

Limited utility dependence

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

ropz

Plays most like ropz 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Areas to improve

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

Reaction time. 610ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

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
Positioning5.6
Utility3.5
Mechanics6.6
Opening Duels3.5
Win Impact0.0

Composite 5.7/10 (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 rating0.03+0.02
first β…“ avg 0.01 β†’ last β…“ avg 0.03
Reaction time619ms+45ms
first β…“ avg 573ms β†’ last β…“ avg 619ms
Headshot accuracy30.1%+0.9%
first β…“ avg 29.3% β†’ last β…“ avg 30.1%

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.

Highlights

0.18Best rating β€” dust2 11–13
13–3Biggest win β€” dust2
3Longest win streak
12–10In matches decided by ≀2 rounds
4Overtime games

Map breakdown

vertigoBest map Β· 40% over 5officeWeakest map Β· 19% over 27
MapGradePlayedRecordWin rateAvg rating
dust2C3312–2136%0.04
officeD275–2219%0.03
cacheD185–1328%-0.00
vertigoC52–340%0.04
anubisβ€”41–325%0.03
mirageβ€”31–233%0.02
infernoβ€”32–167%-0.05
ancientβ€”32–167%-0.02
nukeβ€”31–233%-0.02
trainβ€”11–0100%0.05

Across the last 100 tracked matches.

Lifetime stats

263,999Lifetime kills
0.99K/D
9,406Matches
45.5%Match win rate
60.9%Headshot % Β· Top 10% of tracked players
14.2%Shot accuracy Β· Top 50% of tracked players
31,440MVPs
18,592Hours (in match)
4,143Bombs planted
2,167Bombs defused

Most-used weapons

AK-47124,879
M4A4 / M4A1-S42,624
Desert Eagle29,549
P2000 / USP-S21,836
AWP11,756
Glock-188,352
MP93,369
Knife3,044
SSG 083,040
Tec-92,958

Lifetime map wins

28,625dust2
10,198inferno
7,927nuke
4,713office
3,490vertigo
3,125train
159cbble
66italy

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

Faceit stats

Combat

913Matches
52%Win rate
1.09Avg K/D
78.3ADR
52%Headshot %

Clutches & streaks

39%1v1 clutch win
18%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient12552%1.0015.0
Anubis11156%1.0716.6
Mirage10852%1.0015.6
Nuke7050%0.9615.1
Dust25046%0.9716.2
Overpass4654%1.1015.5
Inferno4248%0.9816.0
Train944%1.2120.1

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.

29.8%Headshot accuracy
38.1%Accuracy (enemy spotted)
40.1%Spray accuracy
79.5%Counter-strafing
12.5Β°Preaim
610msReaction time
36.7%T opening success
51.2%CT opening success
0.45Enemies flashed / flash
6.8%Flash assists
9.97HE damage / grenade
3.20Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5497Β° β€” above the 12Β° mark we flag

    Aim Training β†’
  2. 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 0.453 β€” below the 0.5 mark we flag

    Grenade Lineups β†’
Spend your practice time on Cache

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

28% win rate across 18 tracked games β€” your weakest map with enough games to be worth reading into.

Cache callouts & strategy β†’

Recent matches

MapScoreRatingHS%Date
anubis12–120.1034%27 Aug β†’
vertigo13–80.1331%27 Aug β†’
cache12–120.0033%27 Aug β†’
dust212–120.0047%27 Aug β†’
cache11–130.0737%26 Aug β†’
dust213–10-0.0224%26 Aug β†’
office6–130.1233%26 Aug β†’
office1–130.0248%26 Aug β†’
mirage5–130.0117%25 Aug β†’
cache4–130.0239%25 Aug β†’
dust26–130.0121%25 Aug β†’
office5–130.1047%25 Aug β†’
mirage15–15-0.0128%25 Aug β†’
inferno13–10-0.0520%24 Aug β†’
train7–50.0531%24 Aug β†’
vertigo4–13-0.0130%24 Aug β†’
dust211–130.1829%24 Aug β†’
anubis7–130.0522%24 Aug β†’
office13–110.0941%24 Aug β†’
office3–130.0331%24 Aug β†’
dust21–130.0326%24 Aug β†’
office13–80.1134%24 Aug β†’
cache4–130.0114%24 Aug β†’
dust213–110.1320%23 Aug β†’
inferno13–6-0.1327%23 Aug β†’
dust215–15-0.0421%23 Aug β†’
inferno6–130.0226%23 Aug β†’
office3–130.0123%23 Aug β†’
dust24–13-0.0021%23 Aug β†’
office4–130.0041%23 Aug β†’
office4–130.0624%23 Aug β†’
office1–13-0.0253%23 Aug β†’
cache4–13-0.0222%23 Aug β†’
dust26–13-0.0716%23 Aug β†’
office2–130.0629%23 Aug β†’
dust213–100.1027%22 Aug β†’
office6–130.0145%22 Aug β†’
cache13–110.0024%21 Aug β†’
office6–130.1133%21 Aug β†’
dust26–130.0529%21 Aug β†’
vertigo7–110.0348%21 Aug β†’
cache12–120.0023%21 Aug β†’
office6–130.1339%20 Aug β†’
dust213–100.0530%20 Aug β†’
dust213–80.0833%20 Aug β†’
cache3–130.0526%20 Aug β†’
office7–130.0924%20 Aug β†’
cache5–13-0.0515%19 Aug β†’
ancient5–13-0.0124%19 Aug β†’
office13–9-0.0317%19 Aug β†’
dust29–130.0632%19 Aug β†’
vertigo7–130.0925%19 Aug β†’
dust210–130.0127%19 Aug β†’
office4–13-0.0625%18 Aug β†’
dust29–130.1121%18 Aug β†’
cache2–13-0.1029%18 Aug β†’
dust213–160.0018%17 Aug β†’
anubis11–13-0.0425%17 Aug β†’
dust213–30.0820%17 Aug β†’
dust28–13-0.0815%17 Aug β†’
cache13–11-0.029%17 Aug β†’
cache13–11-0.0318%17 Aug β†’
dust29–13-0.0322%17 Aug β†’
cache4–13-0.0421%17 Aug β†’
dust23–13-0.0152%17 Aug β†’
nuke11–13-0.0132%17 Aug β†’
dust211–130.0722%16 Aug β†’
office6–13-0.0550%16 Aug β†’
dust26–130.0417%16 Aug β†’
mirage13–90.0528%16 Aug β†’
vertigo3–13-0.0339%16 Aug β†’
cache13–90.0419%16 Aug β†’
dust28–130.0451%16 Aug β†’
office4–130.1051%16 Aug β†’
dust213–70.0632%16 Aug β†’
office13–11-0.0244%15 Aug β†’
office11–13-0.0338%15 Aug β†’
dust213–90.0932%15 Aug β†’
ancient13–110.0128%15 Aug β†’
dust213–100.1326%14 Aug β†’
office8–130.0434%14 Aug β†’
anubis16–14-0.0123%14 Aug β†’
ancient13–11-0.0428%13 Aug β†’
office11–13-0.0439%13 Aug β†’
dust29–130.0126%13 Aug β†’
cache11–13-0.0219%13 Aug β†’
cache3–5-0.0517%13 Aug β†’
office8–13-0.0233%12 Aug β†’
office3–13-0.0142%12 Aug β†’
dust28–6-0.0222%12 Aug β†’
nuke13–8-0.0913%12 Aug β†’
cache13–6-0.0119%12 Aug β†’
dust23–130.0231%12 Aug β†’
nuke6–130.0322%12 Aug β†’
dust213–90.0520%11 Aug β†’
office0–2-0.090%11 Aug β†’
cache9–130.0732%11 Aug β†’
dust26–130.1028%11 Aug β†’
dust213–10-0.0021%11 Aug β†’
office13–110.0643%11 Aug β†’

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 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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