suss — CS2 Stats

76561198139326268[U:1:179060540]✓ No bans

2,017Tracked matches29%Win rate2020Tracked since
4,162Hours in CS2Hrs last 2 wks
CSDB Rating5.4 DevelopingHybrid Rifler
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 medianLevel 10 medianvs Level 10
Headshot rate53.5%49.0%52.0%above
Shot accuracy13.3%13.1%13.7%0.3% short
Kill/death ratio0.761.081.080.32 short
Match win rate45.5%46.9%48.8%3.3% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsussFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim76
Positioning41
Utility59

0–100 skill scores via Leetify.

Recent form

COLD51427Last 10051%Win rateLLLLWLTLWL

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

Player DNA

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

Aim7.6
Aggression5.5
Utility5.9
Positioning4.1
Opening Duels1.9
Clutch5.4

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 90% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 52% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 574ms 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
Positioning4.1
Utility5.9
Mechanics7.4
Opening Duels2.7
Win Impact0.0

Composite 5.4/10 (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-0.02−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time575ms−25ms
first ⅓ avg 600ms → last ⅓ avg 575ms
Headshot accuracy21.7%+0.8%
first ⅓ avg 21.0% → last ⅓ avg 21.7%

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

0.11Best rating — cache 13–8
131Biggest win — mirage
6Longest win streak
L4Current streak
105In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 60% over 10ancientWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
cacheC2081240%-0.00
mirageA169756%0.00
infernoA148657%-0.00
ancientD1321115%-0.02
nukeB115645%0.00
anubisA106460%0.01
overpassB63350%-0.03
train440100%-0.02
dust2330100%0.01
vertigo330100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

129,854Lifetime kills
0.76K/D
5,339Matches
45.5%Match win rate
53.5%Headshot % · Top 50% of Level 9 players
13.3%Shot accuracy · Top 50% of Level 9 players
11,567MVPs
2,956Hours (in match)
5,009Bombs planted
1,623Bombs defused

Most-used weapons

AK-4765,663
AWP8,152
FAMAS1,813
MP91,706
Tec-91,315

Lifetime map wins

10,065inferno
5,848dust2
5,246nuke
5,168train
1,464vertigo
1,001cbble
87office
38shorttrain

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

Faceit stats

Combat

412Matches
51%Win rate
1.01Avg K/D
79.6ADR
44%Headshot %

Clutches & streaks

47%1v1 clutch win
3%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2442%0.9314.9
Anubis2264%1.1716.5
Ancient1958%1.1417.4
Inferno944%1.0816.9
Nuke978%1.2317.9
Vertigo633%1.1418.0
Overpass250%0.8315.0
Dust22100%1.3019.0

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.

21.0%Headshot accuracy
32.8%Accuracy (enemy spotted)
39.5%Spray accuracy
83.5%Counter-strafing
9.8°Preaim
574msReaction time
23.7%T opening success
51.9%CT opening success
0.57Enemies flashed / flash
6.0%Flash assists
8.54HE damage / grenade
19.94Flashes / 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 23.6573% — 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.

15% 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
ancient8–13-0.0622%19 Aug
cache14–16-0.0430%19 Aug
ancient4–130.0111%15 Aug
ancient8–130.0029%15 Aug
mirage13–10.047%15 Aug
ancient2–6-0.1033%12 Aug
inferno15–15-0.0219%12 Aug
nuke9–13-0.0620%6 Aug
inferno13–11-0.0011%6 Aug
ancient12–160.0322%3 Aug
nuke7–13-0.0415%31 Jul
mirage13–3-0.0017%31 Jul
cache11–13-0.0337%31 Jul
anubis13–10-0.0121%30 Jul
cache13–40.0122%30 Jul
ancient2–13-0.0819%30 Jul
ancient10–13-0.0312%28 Jul
inferno10–130.0123%28 Jul
cache0–5-0.0150%26 Jul
cache5–13-0.0037%26 Jul
inferno13–6-0.0134%26 Jul
anubis5–13-0.0121%25 Jul
mirage8–130.0214%25 Jul
cache10–13-0.0316%23 Jul
anubis5–13-0.0714%23 Jul
mirage14–160.0319%20 Jul
nuke13–80.0431%20 Jul
cache6–13-0.0615%20 Jul
mirage16–140.0523%19 Jul
mirage12–12-0.038%11 Jul
cache9–130.0114%10 Jul
inferno13–7-0.0125%10 Jul
mirage13–6-0.0227%10 Jul
train13–8-0.0813%10 Jul
cache13–4-0.0414%9 Jul
cache12–120.1022%7 Jul
anubis13–70.0018%6 Jul
nuke7–13-0.0414%5 Jul
overpass13–9-0.0113%5 Jul
mirage5–13-0.0415%5 Jul
nuke8–13-0.0419%3 Jul
anubis13–10-0.0119%1 Jul
mirage9–13-0.049%1 Jul
overpass2–13-0.0322%30 Jun
dust213–40.1025%30 Jun
anubis13–90.0225%29 Jun
inferno9–13-0.0418%29 Jun
ancient5–13-0.0532%29 Jun
ancient11–13-0.0326%26 Jun
cache13–80.1121%25 Jun
overpass9–13-0.1019%25 Jun
nuke10–13-0.0120%24 Jun
inferno13–10-0.0524%22 Jun
nuke13–20.1039%22 Jun
train13–9-0.0023%22 Jun
cache13–11-0.0110%20 Jun
mirage8–13-0.0124%17 Jun
inferno7–13-0.0421%16 Jun
ancient13–10.1027%16 Jun
inferno16–140.0724%15 Jun
mirage13–20.0320%15 Jun
anubis15–150.0619%14 Jun
ancient13–10.0528%14 Jun
inferno13–9-0.0231%14 Jun
dust213–11-0.0129%14 Jun
cache13–110.0827%13 Jun
nuke13–8-0.0411%13 Jun
cache12–12-0.0422%9 Jun
inferno13–50.0211%9 Jun
vertigo13–60.0629%9 Jun
overpass13–70.0520%9 Jun
nuke12–12-0.0313%8 Jun
ancient8–13-0.0315%8 Jun
vertigo13–110.0424%8 Jun
inferno9–13-0.0413%31 May
cache13–11-0.0119%30 May
anubis13–50.0213%30 May
mirage13–30.0221%30 May
mirage13–100.0124%30 May
cache13–70.0319%30 May
inferno7–130.0420%30 May
mirage13–30.0315%30 May
cache10–13-0.0417%30 May
train13–110.0222%30 May
overpass13–3-0.0521%29 May
cache6–13-0.0025%29 May
vertigo13–80.0129%29 May
cache4–13-0.0224%7 May
ancient12–12-0.0232%7 May
overpass7–13-0.0218%3 May
anubis14–160.0716%30 Apr
nuke13–30.0928%30 Apr
cache13–7-0.0336%29 Apr
mirage13–6-0.0116%26 Apr
train13–10-0.0425%25 Apr
nuke13–110.0527%25 Apr
anubis13–20.0416%25 Apr
mirage5–13-0.0524%17 Apr
dust213–6-0.0525%17 Apr
inferno13–20.0716%17 Apr

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 →