𝓓_β„›.π“˜.π“Ÿ CS2SKINS.GIFT

𝓓_β„›.π“˜.π“Ÿ CS2SKINS.GIFT β€” CS2 Stats

CA76561198202260655[U:1:241994927]Steam profile β†—βœ“ No bans

4,397Tracked matches48%Win rate2021Tracked since
11,051Hours in CS4Hrs last 2 wks
CSDB Rating5.5 SolidHybrid Rifler
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG𝓓_β„›.π“˜.π“Ÿ CS2SKINS.GIFTFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning54
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY49–42–9Last 10049%Win rateLLTLWWWWTL

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

Player DNA

Primary style: Hybrid Rifler β€” Aim-led profile without a single dominant tendency.

Aim6.6
Aggression6.9
Utility5.4
Positioning5.4
Opening Duels2.5
Clutch2.4

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 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 585ms 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

Aim6.6
Positioning5.4
Utility5.4
Mechanics6.5
Opening Duels2.5
Win Impact4.4

Composite 5.5/10 (Solid), 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 rating0.00+0.01
first β…“ avg -0.01 β†’ last β…“ avg 0.00
Reaction time581msβˆ’31ms
first β…“ avg 612ms β†’ last β…“ avg 581ms
Headshot accuracy16.5%βˆ’0.1%
first β…“ avg 16.6% β†’ last β…“ avg 16.5%

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

0.13Best rating β€” anubis 13–3
13–3Biggest win β€” dust2
6Longest win streak
L2Current streak
5–7In matches decided by ≀2 rounds
1Overtime games

Map breakdown

ancientBest map Β· 63% over 8infernoWeakest map Β· 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B2713–1448%-0.00
mirageB158–753%0.01
anubisB147–750%0.02
cacheB115–645%-0.01
infernoC104–640%-0.01
nukeB105–550%0.02
ancientA85–363%-0.02
vertigoβ€”21–150%0.02
overpassβ€”21–150%0.03
trainβ€”10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

194,374Lifetime kills
1.00K/D
8,973Matches
40.5%Match win rate
44.7%Headshot %
9.2%Shot accuracy
17,143MVPs
4,220Hours (in match)
6,742Bombs planted
2,322Bombs defused

Most-used weapons

AK-4759,430
AWP30,089
SSG 0811,319
Tec-93,300
P2503,099

Lifetime map wins

24,809dust2
9,047inferno
4,312nuke
3,321vertigo
981train
310cbble
115office
83italy

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

Faceit stats

Combat

885Matches
49%Win rate
1.00Avg K/D
80.6ADR
38%Headshot %

Clutches & streaks

32%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage21749%0.9614.5
Anubis15251%1.0815.8
Ancient12852%1.0014.7
Inferno10850%1.0814.6
Dust210749%0.9714.8
Vertigo6846%1.0114.7
Nuke5758%0.9314.0
Overpass1030%0.9814.4

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.

16.0%Headshot accuracy
31.1%Accuracy (enemy spotted)
34.6%Spray accuracy
79.4%Counter-strafing
7.8Β°Preaim
585msReaction time
32.8%T opening success
46.9%CT opening success
0.55Enemies flashed / flash
7.2%Flash assists
6.71HE damage / grenade
7.84Flashes / 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 32.7516% 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.

40% win rate across 10 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
inferno6–13-0.097%17 Aug β†’
inferno4–9-0.1215%15 Aug β†’
ancient12–120.0121%15 Aug β†’
anubis6–13-0.0420%8 Aug β†’
anubis16–130.0211%8 Aug β†’
nuke13–50.1226%8 Aug β†’
anubis13–50.1016%5 Aug β†’
mirage13–70.0129%31 Jul β†’
dust212–12-0.0521%31 Jul β†’
anubis1–130.0127%30 Jul β†’
dust213–70.0411%30 Jul β†’
nuke4–13-0.0220%30 Jul β†’
cache8–20.0220%30 Jul β†’
vertigo5–130.0822%30 Jul β†’
dust213–11-0.0127%29 Jul β†’
inferno5–13-0.0323%29 Jul β†’
mirage13–8-0.033%29 Jul β†’
mirage10–13-0.0411%27 Jul β†’
inferno4–13-0.063%27 Jul β†’
mirage13–100.015%27 Jul β†’
cache11–13-0.0313%26 Jul β†’
anubis12–12-0.017%26 Jul β†’
inferno13–80.0820%26 Jul β†’
dust210–130.0418%26 Jul β†’
anubis6–70.0111%25 Jul β†’
cache11–13-0.0310%25 Jul β†’
cache5–130.0631%20 Jul β†’
dust213–90.0423%20 Jul β†’
ancient10–13-0.069%20 Jul β†’
dust213–11-0.0116%20 Jul β†’
dust213–90.0013%20 Jul β†’
inferno7–13-0.0125%19 Jul β†’
mirage10–130.0413%19 Jul β†’
nuke0–5-0.0411%18 Jul β†’
mirage13–10-0.0119%18 Jul β†’
ancient13–7-0.0416%18 Jul β†’
dust212–12-0.0817%18 Jul β†’
mirage6–13-0.0014%11 Jul β†’
dust213–50.1119%11 Jul β†’
nuke13–110.0312%11 Jul β†’
anubis13–4-0.0222%11 Jul β†’
dust213–30.0916%11 Jul β†’
dust213–9-0.0017%6 Jul β†’
dust23–90.0023%6 Jul β†’
mirage13–60.0419%6 Jul β†’
overpass6–130.0214%6 Jul β†’
mirage13–80.0419%29 Jun β†’
ancient13–7-0.0224%29 Jun β†’
dust22–13-0.0220%29 Jun β†’
anubis13–9-0.0213%29 Jun β†’
cache12–120.0116%29 Jun β†’
nuke13–30.0811%29 Jun β†’
anubis9–13-0.0319%29 Jun β†’
mirage13–100.1121%28 Jun β†’
dust28–130.0511%27 Jun β†’
ancient13–4-0.0222%27 Jun β†’
nuke11–13-0.0321%27 Jun β†’
anubis12–12-0.0016%27 Jun β†’
anubis7–10.1210%27 Jun β†’
dust23–13-0.0610%27 Jun β†’
cache11–13-0.0214%27 Jun β†’
dust212–12-0.0121%22 Jun β†’
dust213–90.0627%22 Jun β†’
inferno13–90.0615%22 Jun β†’
anubis13–30.1317%22 Jun β†’
overpass13–50.0319%22 Jun β†’
mirage5–13-0.016%21 Jun β†’
dust213–9-0.0015%21 Jun β†’
cache8–13-0.0729%21 Jun β†’
train12–12-0.0217%21 Jun β†’
anubis7–13-0.0710%20 Jun β†’
mirage7–13-0.039%20 Jun β†’
dust213–40.0312%20 Jun β†’
ancient13–80.0020%20 Jun β†’
mirage10–130.0518%20 Jun β†’
mirage13–5-0.0019%20 Jun β†’
nuke13–60.1118%15 Jun β†’
cache13–110.0628%15 Jun β†’
dust25–13-0.049%15 Jun β†’
inferno13–90.0818%15 Jun β†’
cache13–4-0.096%14 Jun β†’
ancient5–13-0.0311%8 Jun β†’
dust211–13-0.0715%2 Jun β†’
dust21–13-0.0610%2 Jun β†’
inferno2–13-0.0518%2 Jun β†’
mirage7–13-0.0114%2 Jun β†’
dust29–13-0.0718%1 Jun β†’
dust211–13-0.0616%1 Jun β†’
vertigo13–4-0.0416%1 Jun β†’
dust25–130.0035%1 Jun β†’
cache13–60.0310%30 May β†’
nuke10–130.0023%24 May β†’
dust213–100.0125%18 May β†’
dust213–70.058%17 May β†’
nuke13–100.0316%17 May β†’
anubis13–100.0920%17 May β†’
inferno13–110.007%17 May β†’
cache13–4-0.0434%17 May β†’
nuke12–12-0.049%17 May β†’
ancient13–100.0016%16 May 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†’