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- πŸ†„πŸ…½πŸ…ΈπŸ†ƒΒ£ βœͺ β€” CS2 Stats

76561198171461673[U:1:211195945]Steam profile β†—βœ“ No bans

1,170Tracked matches47%Win rate2021Tracked since
3,130Hours in CS
CSDB Rating5.2 Developing
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Performance scores

Aim58
Positioning55
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateWLLWWLLWLL

Last 10 vs previous 10: -20pp win rate Β· -0.05 avg rating

Player DNA

Aim5.8
Aggression7.2
Utility6.8
Positioning5.5
Opening Duels2.6
Clutch3.8

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

T-side openings. Opening success drops from 53% on CT to 28% on T β€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 601ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.8
Positioning5.5
Utility6.8
Mechanics4.3
Opening Duels2.9
Win Impact3.9

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (Γ—1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02βˆ’0.01
first β…“ avg 0.04 β†’ last β…“ avg 0.02
Reaction time612ms+40ms
first β…“ avg 572ms β†’ last β…“ avg 612ms
Headshot accuracy18.3%βˆ’4.2%
first β…“ avg 22.5% β†’ last β…“ avg 18.3%

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.

Highlights

0.21Best rating β€” poseidon 9–3
13–0Biggest win β€” anubis
8Longest win streak
9–6In matches decided by ≀2 rounds
3Overtime games

Map breakdown

ancientBest map Β· 75% over 8infernoWeakest map Β· 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C2611–1542%0.02
mirageB157–847%0.02
overpassB137–654%0.02
infernoC114–736%0.01
ancientS86–275%0.03
anubisA85–363%0.04
nukeB63–350%0.01
trainS64–267%0.03
cacheβ€”21–150%0.00
poseidonβ€”22–0100%0.13
vertigoβ€”22–0100%0.04
sanctumβ€”10–10%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

179,213Lifetime kills
1.05K/D Β· Top 50% of tracked players
6,685Matches
37.7%Match win rate
41.0%Headshot %
13.3%Shot accuracy Β· Top 50% of tracked players
13,334MVPs
3,130Hours (in match)
7,963Bombs planted
1,335Bombs defused

Most-used weapons

AK-4763,790
AWP36,256
P902,932
SSG 082,482
MP92,137
Tec-92,113

Lifetime map wins

16,324dust2
6,892inferno
3,064vertigo
2,827train
1,713nuke
761cbble
125lake
62office

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

Faceit stats

Combat

64Matches
77%Win rate
1.49Avg K/D
83.9ADR
41%Headshot %

Clutches & streaks

39%1v1 clutch win
27%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2176%1.4716.7
Dust21573%1.2916.6
Anubis667%1.5417.5
Train6100%1.4019.8
Inferno580%2.5120.8
Overpass5100%1.7616.4
Ancient450%1.2818.5
Nuke10%0.436.0

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.

19.3%Headshot accuracy
32.8%Accuracy (enemy spotted)
32.3%Spray accuracy
69.4%Counter-strafing
9.1Β°Preaim
601msReaction time
27.5%T opening success
53.3%CT opening success
0.68Enemies flashed / flash
4.0%Flash assists
11.45HE damage / grenade
13.85Flashes / 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 27.5192% β€” below the 40% mark we flag

Spend your practice time on Inferno

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

36% win rate across 11 tracked games β€” your weakest map with enough games to be worth reading into.

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

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0116%3 Aug β†’
dust211–130.0119%3 Aug β†’
cache7–13-0.0628%2 Aug β†’
inferno13–20.0129%2 Aug β†’
anubis13–50.029%26 Jul β†’
mirage7–13-0.0227%18 Jul β†’
inferno7–13-0.0421%18 Jul β†’
dust213–20.0812%18 Jul β†’
mirage3–13-0.0427%18 Jul β†’
sanctum7–90.0217%15 Jun β†’
poseidon9–30.2117%15 Jun β†’
inferno7–9-0.1320%15 Jun β†’
overpass9–70.0126%15 Jun β†’
inferno2–9-0.0922%15 Jun β†’
poseidon9–60.0510%15 Jun β†’
inferno9–10.2117%14 Jun β†’
inferno5–90.0012%14 Jun β†’
nuke5–9-0.066%14 Jun β†’
overpass9–30.1027%14 Jun β†’
nuke9–20.1916%14 Jun β†’
nuke9–30.025%14 Jun β†’
cache13–70.0718%8 May β†’
anubis9–130.0228%6 Feb β†’
dust26–13-0.0547%31 Jan β†’
inferno8–130.0311%29 Jan β†’
anubis11–13-0.0015%26 Jan β†’
dust216–130.0317%24 Jan β†’
ancient13–50.0511%24 Jan β†’
overpass9–13-0.028%24 Jan β†’
anubis13–40.0815%24 Jan β†’
dust213–90.0517%24 Jan β†’
ancient5–130.0120%24 Jan β†’
dust210–13-0.0316%24 Jan β†’
anubis13–100.0612%24 Jan β†’
dust22–13-0.0331%24 Jan β†’
mirage13–30.0914%24 Jan β†’
overpass10–130.0027%24 Jan β†’
anubis13–00.0324%24 Jan β†’
dust26–13-0.0220%24 Jan β†’
mirage13–8-0.0620%24 Jan β†’
dust211–13-0.0318%24 Jan β†’
nuke13–8-0.0315%19 Jan β†’
dust216–140.0511%19 Jan β†’
mirage5–130.0425%19 Jan β†’
mirage7–13-0.0027%19 Jan β†’
dust23–13-0.0423%19 Jan β†’
train13–100.028%18 Jan β†’
overpass13–90.0426%18 Jan β†’
nuke10–130.009%18 Jan β†’
dust213–110.0320%18 Jan β†’
mirage11–130.0422%18 Jan β†’
dust213–11-0.0015%18 Jan β†’
mirage13–10-0.0023%18 Jan β†’
overpass13–8-0.0020%18 Jan β†’
ancient3–13-0.015%18 Jan β†’
dust29–13-0.0029%18 Jan β†’
overpass5–130.0431%18 Jan β†’
dust29–130.0715%18 Jan β†’
train16–14-0.0221%17 Jan β†’
ancient13–110.098%17 Jan β†’
vertigo13–10-0.0022%17 Jan β†’
overpass13–40.0620%17 Jan β†’
mirage13–70.0322%15 Jan β†’
overpass3–13-0.0015%15 Jan β†’
dust29–130.0421%15 Jan β†’
dust212–120.0218%14 Jan β†’
overpass13–100.0519%14 Jan β†’
overpass8–130.0620%14 Jan β†’
dust29–13-0.0013%10 Jan β†’
dust27–20.0141%10 Jan β†’
mirage13–70.0823%10 Jan β†’
vertigo13–40.0923%10 Jan β†’
inferno13–10-0.0233%9 Jan β†’
mirage6–13-0.069%9 Jan β†’
train1–13-0.0146%4 Jan β†’
dust213–110.0316%4 Jan β†’
ancient13–50.0015%4 Jan β†’
mirage1–130.0138%4 Jan β†’
train13–110.0742%4 Jan β†’
train13–20.0919%4 Jan β†’
nuke8–13-0.0626%28 Dec β†’
inferno12–120.0226%28 Dec β†’
dust212–120.0217%28 Dec β†’
ancient13–70.0113%26 Dec β†’
dust28–130.0522%25 Dec β†’
overpass8–13-0.0514%25 Dec β†’
anubis6–13-0.0417%25 Dec β†’
inferno11–70.0722%25 Dec β†’
mirage13–40.0713%25 Dec β†’
dust213–70.0313%25 Dec β†’
overpass5–00.0033%24 Dec β†’
dust28–30.0825%24 Dec β†’
anubis13–50.1720%24 Dec β†’
mirage13–50.1115%24 Dec β†’
ancient13–40.0724%24 Dec β†’
inferno10–130.0814%24 Dec β†’
mirage12–120.0118%24 Dec β†’
dust213–20.1319%24 Dec β†’
train9–130.0616%24 Dec β†’
dust212–120.0236%21 Dec 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†’