DIGAAAAA

DIGAAAAA — CS2 Stats

MC76561198293548631[U:1:333282903]Steam profile ↗✓ No bans

1,766Tracked matches53%Win rate2020Tracked since
4,584Hours in CS40Hrs last 2 wks
CSDB Rating5.9 SolidHybrid Rifler
FaceitLevel 10 · 2,493 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate47.3%52.8%
Shot accuracy11.3%13.7%
Kill/death ratio1.121.08
Match win rate47.8%49.2%

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CSDB.GGDIGAAAAAFACEITLevel 10 · 2,493 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim76
Positioning54
Utility48

0–100 skill scores via Leetify.

Recent form

HOT62362Last 10062%Win rateWWLLWWWLWW

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.6
Aggression5.7
Utility4.8
Positioning5.4
Opening Duels2.0
Clutch3.4

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

Your pro match

NiKo

Plays most like NiKo 90% 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 — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 562ms 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

Aim7.6
Positioning5.4
Utility4.8
Mechanics6.5
Opening Duels2.0
Win Impact6.1

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.06−0.00
first ⅓ avg 0.06 → last ⅓ avg 0.06
Reaction time551ms−31ms
first ⅓ avg 582ms → last ⅓ avg 551ms
Headshot accuracy23.9%−3.2%
first ⅓ avg 27.1% → last ⅓ avg 23.9%

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

0.32Best rating — inferno 9–1
131Biggest win — cache
8Longest win streak
W2Current streak
74In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 78% over 9dust2Weakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
infernoS2417771%0.10
dust2B115645%0.03
nukeS118373%-0.01
mirageA117464%0.02
vertigoA95456%0.02
anubisS97278%0.07
ancientB84450%0.02
cacheA74357%0.06
office42250%0.04
train32167%0.09
overpass31233%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

143,242Lifetime kills
1.12K/D · Top 50% of Level 10 players
6,471Matches
47.8%Match win rate
47.3%Headshot %
11.3%Shot accuracy
21,150MVPs
3,602Hours (in match)
5,769Bombs planted
1,657Bombs defused

Most-used weapons

AK-4748,910
AWP17,111
MP93,365
P903,075
FAMAS2,725

Lifetime map wins

12,228dust2
12,159inferno
2,517vertigo
2,291nuke
1,826cbble
1,604train
231office
150bank

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

Faceit stats

Combat

2,137Matches
51%Win rate
1.13Avg K/D
83.0ADR
52%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage51654%1.1417.4
Dust237548%1.1116.9
Inferno24653%1.0917.0
Anubis22449%1.1017.5
Ancient22047%1.1017.4
Nuke9553%1.0015.6
Vertigo4850%1.0317.1
Train4146%1.0116.9

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.

24.1%Headshot accuracy
33.5%Accuracy (enemy spotted)
37.0%Spray accuracy
79.1%Counter-strafing
9.9°Preaim
562msReaction time
38.2%T opening success
37.6%CT opening success
0.52Enemies flashed / flash
6.7%Flash assists
7.61HE damage / grenade
6.30Flashes / 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. 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 38.244% — below the 40% mark we flag

Spend your practice time on Dust 2

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–50.1815%28 Aug
cache13–70.0319%28 Aug
cache4–130.0014%28 Aug
cache5–130.0227%26 Aug
dust213–70.0118%21 Aug
inferno9–30.2640%20 Aug
dust213–20.1932%20 Aug
cache2–130.0632%20 Aug
nuke13–40.0427%20 Aug
nuke9–40.097%14 Aug
inferno9–20.2129%14 Aug
train9–130.1421%14 Aug
train13–40.0313%14 Aug
nuke19–16-0.0418%13 Aug
dust26–13-0.0110%11 Aug
inferno13–70.0111%10 Aug
mirage10–13-0.0123%3 Aug
vertigo13–110.1140%1 Aug
vertigo5–13-0.0738%1 Aug
vertigo10–130.0124%1 Aug
mirage13–100.0117%31 Jul
anubis9–00.0921%27 Jul
inferno9–10.3223%27 Jul
anubis11–130.1232%27 Jul
mirage5–13-0.0118%25 Jul
mirage13–11-0.0119%25 Jul
dust213–70.0537%25 Jul
ancient9–13-0.0331%25 Jul
ancient13–60.0722%24 Jul
ancient13–110.0533%24 Jul
inferno9–13-0.0319%23 Jul
ancient13–110.0028%23 Jul
ancient10–130.0131%23 Jul
mirage6–13-0.0420%23 Jul
mirage13–90.0026%20 Jul
ancient9–13-0.0146%19 Jul
overpass3–9-0.0843%19 Jul
dust26–13-0.0522%17 Jul
nuke1–9-0.1550%15 Jul
inferno0–9-0.280%15 Jul
nuke13–9-0.0523%11 Jul
dust215–150.0732%11 Jul
anubis13–70.0516%11 Jul
inferno9–10.2741%9 Jul
office12–120.0221%9 Jul
office13–100.0729%9 Jul
inferno9–20.2016%8 Jul
inferno0–9-0.09100%8 Jul
office7–130.0338%8 Jul
office13–80.0332%8 Jul
dust29–13-0.0521%6 Jul
inferno11–130.1018%2 Jul
inferno9–60.1440%1 Jul
inferno7–90.0538%1 Jul
vertigo0–9-0.200%1 Jul
vertigo0–9-0.140%1 Jul
cache13–10.0446%1 Jul
cache13–60.0723%1 Jul
inferno6–130.0219%30 Jun
inferno9–40.0620%27 Jun
inferno9–10.1940%27 Jun
nuke6–9-0.1214%27 Jun
dust213–60.0128%27 Jun
nuke9–50.0119%24 Jun
dust29–130.0420%24 Jun
cache13–40.2021%11 Jun
inferno9–30.1039%11 Jun
vertigo9–40.1343%7 Jun
vertigo13–50.0219%7 Jun
mirage13–110.1033%5 Jun
overpass9–5-0.0216%4 Jun
vertigo13–90.1323%4 Jun
anubis13–70.0729%31 May
ancient10–13-0.0135%30 May
anubis13–100.0926%29 May
inferno13–5-0.0022%29 May
inferno13–70.0018%28 May
mirage10–130.0018%25 May
dust210–130.0126%25 May
inferno11–130.0637%23 May
anubis13–100.1025%22 May
mirage13–10.0533%19 May
ancient13–90.0523%19 May
mirage13–50.0417%15 May
inferno13–10-0.0030%15 May
nuke9–70.0827%8 May
inferno9–20.2857%8 May
inferno9–30.2220%4 May
nuke4–9-0.0126%4 May
inferno9–70.1422%4 May
nuke9–50.0253%2 May
mirage13–60.0416%28 Apr
overpass6–9-0.0733%24 Apr
train13–40.1025%24 Apr
vertigo13–70.1625%11 Apr
anubis3–13-0.0215%3 Apr
anubis13–80.1826%3 Apr
dust27–30.1224%27 Mar
nuke13–80.0631%27 Mar
anubis13–9-0.0518%19 Mar

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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