✪ DoubleAA — CS2 Stats

76561198152324756[U:1:192059028]✓ No bans

4,023Tracked matches52%Win rate2020Tracked since
5,273Hours in CS27Hrs last 2 wks
CSDB Rating5.3 DevelopingPassive Rifler
Premier CS Rating18,917Purple band · top ~12.8% of ranked players (population est.)
CSDB Leaderboard#18897 of 41721 tracked
FaceitLevel 5 · 1,305 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 medianLevel 6 medianvs Level 6
Headshot rate42.5%44.0%44.7%2.2% short
Shot accuracy9.8%11.6%11.9%2.1% short
Kill/death ratio0.751.031.040.29 short
Match win rate41.4%45.1%45.2%3.8% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG✪ DoubleAAFACEITLevel 5 · 1,305 ELOSTANDINGTop 67.6% of rankedPREMIER18,917 · Purple bandcsdb.gg/stats

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Performance scores

Aim62
Positioning34
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY51436Last 10051%Win rateLLLWLLWWLW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

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

Aim6.2
Aggression4.4
Utility6.4
Positioning3.4
Opening Duels0.8
Clutch3.8

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 82% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 669ms 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

Aim6.2
Positioning3.4
Utility6.4
Mechanics7.6
Opening Duels0.8
Win Impact5.6

Composite 5.3/10 (Developing), 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 rating-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time690ms−18ms
first ⅓ avg 708ms → last ⅓ avg 690ms
Headshot accuracy20.3%+2.3%
first ⅓ avg 18.0% → last ⅓ avg 20.3%

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

0.17Best rating — cache 13–2
131Biggest win — mirage
4Longest win streak
L3Current streak
144In matches decided by ≤2 rounds
18Overtime games

Map breakdown

mirageBest map · 71% over 34infernoWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
mirageS34241071%-0.00
dust2C1981142%-0.02
ancientA138562%-0.00
infernoD1221017%-0.02
cacheB115645%-0.00
nukeC73443%-0.03
vertigo21150%0.03
train1010%-0.07
anubis1010%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

111,658Lifetime kills
0.75K/D
7,126Matches
41.4%Match win rate
42.5%Headshot %
9.8%Shot accuracy
11,308MVPs
3,153Hours (in match)
8,712Bombs planted
2,097Bombs defused

Most-used weapons

AK-4740,288
AWP7,327
FAMAS4,895
Knife1,878
MP91,755

Lifetime map wins

11,995inferno
11,876dust2
4,253nuke
2,157vertigo
1,687train
236office
49cbble
42italy

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

Faceit stats

Combat

1,913Matches
49%Win rate
0.91Avg K/D
71.8ADR
41%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage42449%1.1014.4
Dust221949%0.9514.2
Ancient15249%0.9313.7
Inferno14049%0.9213.6
Anubis11150%1.0615.1
Nuke8942%0.8514.2
Vertigo3656%0.9513.9
Train2245%1.0815.4

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.

20.4%Headshot accuracy
31.5%Accuracy (enemy spotted)
34.3%Spray accuracy
84.1%Counter-strafing
9.8°Preaim
669msReaction time
32.8%T opening success
33.3%CT opening success
0.68Enemies flashed / flash
5.9%Flash assists
10.88HE damage / grenade
13.26Flashes / 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 32.763% — below the 40% mark we flag

Spend your practice time on Inferno

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust21–13-0.1033%30 Aug
mirage4–13-0.0711%30 Aug
cache8–13-0.0119%30 Aug
dust213–8-0.0623%29 Aug
inferno14–160.0230%29 Aug
dust29–13-0.0319%27 Aug
mirage13–9-0.0319%26 Aug
nuke16–13-0.0321%26 Aug
dust20–13-0.0417%26 Aug
mirage16–14-0.0221%23 Aug
vertigo5–13-0.0225%23 Aug
mirage9–130.0221%23 Aug
mirage14–16-0.0316%21 Aug
ancient13–30.0735%21 Aug
ancient13–16-0.0414%20 Aug
cache13–2-0.0416%20 Aug
mirage9–13-0.0218%20 Aug
dust210–13-0.0317%20 Aug
mirage13–110.0018%16 Aug
dust213–11-0.097%16 Aug
mirage13–110.0418%15 Aug
dust25–130.0223%15 Aug
dust216–140.0234%15 Aug
train4–13-0.0711%13 Aug
vertigo13–110.0918%12 Aug
cache13–2-0.0442%12 Aug
mirage3–1-0.010%12 Aug
nuke15–15-0.0413%11 Aug
mirage13–5-0.0028%11 Aug
dust213–80.0123%9 Aug
ancient13–90.0524%8 Aug
dust210–13-0.0724%8 Aug
mirage13–100.0117%8 Aug
ancient7–13-0.0626%8 Aug
nuke15–15-0.0614%6 Aug
mirage13–60.0721%6 Aug
mirage13–70.0311%1 Aug
nuke11–13-0.0218%1 Aug
ancient13–4-0.0616%1 Aug
mirage13–3-0.0322%1 Aug
inferno7–13-0.0635%30 Jul
nuke13–60.0219%30 Jul
mirage8–13-0.0116%30 Jul
inferno4–130.0226%29 Jul
inferno5–13-0.0414%29 Jul
mirage13–110.028%29 Jul
cache10–13-0.044%29 Jul
mirage10–13-0.0611%29 Jul
ancient2–0-0.140%29 Jul
mirage13–90.1421%24 Jul
anubis4–13-0.0315%22 Jul
dust24–13-0.0514%20 Jul
mirage4–13-0.0214%19 Jul
inferno8–80.0519%17 Jul
inferno10–20.044%15 Jul
cache13–20.1739%15 Jul
mirage13–8-0.0825%15 Jul
ancient13–70.0016%15 Jul
inferno10–13-0.0623%14 Jul
mirage13–6-0.0029%13 Jul
mirage16–13-0.0325%13 Jul
cache13–10-0.0318%13 Jul
mirage8–130.0811%13 Jul
mirage13–5-0.0613%12 Jul
ancient13–70.0118%12 Jul
nuke13–16-0.0133%12 Jul
dust213–50.0511%12 Jul
mirage13–20.0253%12 Jul
nuke16–14-0.028%12 Jul
mirage8–13-0.0416%11 Jul
inferno15–15-0.0025%11 Jul
ancient13–160.078%11 Jul
mirage13–9-0.0320%11 Jul
dust213–110.0319%11 Jul
dust213–9-0.0213%11 Jul
cache13–90.0115%11 Jul
ancient11–130.0727%10 Jul
cache15–150.0023%10 Jul
dust28–13-0.0215%10 Jul
dust210–130.028%10 Jul
cache6–13-0.0615%10 Jul
inferno15–150.0119%10 Jul
mirage13–10.1020%10 Jul
mirage13–70.0118%9 Jul
cache13–160.0314%9 Jul
mirage13–6-0.0324%9 Jul
mirage13–8-0.0418%9 Jul
mirage13–8-0.0440%9 Jul
inferno13–9-0.0420%9 Jul
inferno2–6-0.070%9 Jul
ancient9–130.0313%9 Jul
dust216–14-0.0123%9 Jul
mirage13–70.059%9 Jul
cache7–13-0.0421%8 Jul
inferno5–13-0.0620%6 Jul
dust210–130.0119%6 Jul
mirage9–13-0.0011%6 Jul
ancient16–14-0.0213%6 Jul
ancient13–110.0110%6 Jul
dust28–13-0.0721%6 Jul

Match data via Leetify.

Recent teammates

Milestones

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