sbNNN_

sbNNN_ — CS2 Stats

DE76561198008974001[U:1:48708273]Steam profile ↗✓ No bans

1,297Tracked matches50%Win rate2021Tracked since
1,741Hours in CS
CSDB Rating4.6 DevelopingPassive Rifler
FaceitLevel 6 · 1,082 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=1,571), 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 6 medianLevel 7 medianvs Level 7
Headshot rate40.5%44.7%46.1%5.6% short
Shot accuracy11.7%11.9%12.6%0.9% short
Kill/death ratio0.801.041.050.26 short
Match win rate44.4%45.2%45.7%1.4% short

This profile sits below the typical Level 7 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsbNNN_FACEITLevel 6 · 1,082 ELOSTANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning34
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY52462Last 10052%Win rateLWWLLLLWWW

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

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

Aim6.4
Aggression2.3
Utility6.3
Positioning3.4
Opening Duels0.0
Clutch4.2

Strong CT-side opener

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 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 40% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 650ms 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

Aim6.4
Positioning3.4
Utility6.3
Mechanics6.3
Opening Duels1.2
Win Impact5.0

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time650ms−55ms
first ⅓ avg 705ms → last ⅓ avg 650ms
Headshot accuracy18.7%+4.2%
first ⅓ avg 14.5% → last ⅓ avg 18.7%

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

0.08Best rating — inferno 13–8
132Biggest win — inferno
6Longest win streak
109In matches decided by ≤2 rounds
23Overtime games

Map breakdown

overpassBest map · 64% over 14ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoA28161257%-0.02
anubisC1661038%-0.03
overpassA149564%-0.03
ancientD134931%-0.01
cacheA138562%-0.03
nukeB126650%-0.04
mirage220100%-0.00
vertigo1010%-0.04
dust2110100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,171Lifetime kills
0.80K/D
3,456Matches
44.4%Match win rate
40.5%Headshot %
11.7%Shot accuracy
6,491MVPs
1,741Hours (in match)
3,928Bombs planted
948Bombs defused

Most-used weapons

AK-4718,865
AWP2,667
Knife1,287
FAMAS1,198
P2501,060

Lifetime map wins

10,293inferno
4,809dust2
4,139nuke
1,215vertigo
1,066train
1,019cbble
123militia
45lake

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

Faceit stats

Combat

1,508Matches
50%Win rate
0.90Avg K/D
72.3ADR
40%Headshot %

Clutches & streaks

41%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno19656%0.9414.0
Anubis17547%0.9214.5
Ancient16645%1.0115.0
Dust27348%0.9413.7
Mirage6450%1.1014.3
Nuke6453%0.8914.0
Vertigo3345%0.9215.1
Overpass2467%1.0514.1

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.

18.2%Headshot accuracy
34.6%Accuracy (enemy spotted)
37.7%Spray accuracy
78.2%Counter-strafing
9.5°Preaim
650msReaction time
20.1%T opening success
39.9%CT opening success
0.60Enemies flashed / flash
3.7%Flash assists
7.17HE damage / grenade
20.85Flashes / 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 20.1197% — below the 40% mark we flag

Spend your practice time on Ancient

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke0–13-0.089%3 Jun
inferno13–110.0320%29 May
anubis13–11-0.056%29 May
ancient17–19-0.0316%29 May
inferno8–13-0.0616%20 May
overpass18–22-0.0415%20 May
overpass5–13-0.0712%13 May
ancient13–100.0421%13 May
cache13–9-0.0517%12 May
inferno13–11-0.0321%12 May
inferno3–13-0.0244%12 May
ancient7–13-0.0123%11 May
inferno13–80.0818%11 May
nuke10–13-0.0221%8 May
ancient13–70.0125%8 May
overpass13–7-0.0624%8 May
inferno13–20.0516%8 May
cache14–16-0.0222%8 May
ancient9–130.0316%7 May
ancient13–50.0316%7 May
cache13–10-0.0719%7 May
anubis10–13-0.0520%6 May
cache19–16-0.0315%5 May
inferno7–13-0.0517%4 May
cache4–13-0.0921%4 May
inferno8–13-0.0214%2 May
overpass16–120.0110%2 May
cache13–60.0117%2 May
cache11–13-0.0514%1 May
cache13–8-0.0130%1 May
cache13–60.015%1 May
cache13–70.0424%29 Apr
overpass13–6-0.0432%29 Apr
nuke6–13-0.0613%28 Apr
inferno13–8-0.0720%28 Apr
anubis12–16-0.067%27 Apr
ancient5–13-0.0730%27 Apr
inferno9–13-0.0215%27 Apr
cache7–13-0.0518%26 Apr
cache9–13-0.0314%26 Apr
inferno13–90.0222%23 Apr
inferno8–13-0.0713%23 Apr
ancient8–130.017%22 Apr
cache16–14-0.0211%22 Apr
nuke13–9-0.0312%22 Apr
inferno19–16-0.0111%20 Apr
anubis11–130.0519%20 Apr
nuke13–5-0.0218%20 Apr
anubis13–90.0113%19 Apr
inferno13–7-0.0319%19 Apr
overpass19–17-0.0012%19 Apr
nuke13–11-0.0113%19 Apr
anubis13–11-0.0612%19 Apr
nuke13–16-0.0616%17 Apr
overpass8–13-0.0412%16 Apr
anubis6–13-0.056%16 Apr
inferno16–13-0.0221%14 Apr
inferno16–13-0.058%12 Apr
anubis16–120.0110%11 Apr
inferno16–13-0.017%11 Apr
inferno8–13-0.0213%11 Apr
vertigo12–12-0.0413%11 Apr
nuke16–130.0013%9 Apr
inferno13–110.017%9 Apr
anubis8–13-0.028%9 Apr
inferno6–13-0.0318%8 Apr
inferno7–13-0.0613%8 Apr
overpass13–8-0.0313%7 Apr
nuke11–13-0.1117%7 Apr
anubis14–16-0.0218%7 Apr
overpass4–13-0.0111%6 Apr
inferno13–80.0825%6 Apr
anubis11–13-0.007%6 Apr
nuke25–22-0.0917%5 Apr
overpass13–5-0.0512%5 Apr
nuke13–6-0.0411%5 Apr
anubis22–20-0.0325%4 Apr
inferno13–16-0.0210%3 Apr
anubis7–13-0.058%3 Apr
nuke11–130.0313%3 Apr
anubis7–13-0.0515%3 Apr
ancient8–13-0.0213%3 Apr
ancient13–16-0.076%1 Apr
overpass13–80.0016%1 Apr
inferno13–3-0.0410%1 Apr
ancient9–13-0.0124%1 Apr
anubis13–90.0116%30 Mar
inferno13–9-0.0629%29 Mar
mirage13–110.0226%25 Mar
ancient13–100.0111%25 Mar
inferno13–90.0216%25 Mar
mirage13–10-0.0313%25 Mar
overpass15–15-0.0219%24 Mar
anubis7–13-0.056%24 Mar
overpass12–2-0.0815%24 Mar
ancient7–13-0.0613%23 Mar
inferno14–160.028%23 Mar
dust216–130.0515%20 Mar
inferno5–13-0.0715%20 Feb
overpass13–8-0.0110%19 Feb

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 →