Starterxxxx — CS2 Stats

76561198399393793[U:1:439128065]

2,718Tracked matches52%Win rate2020Tracked since
3,649Hours in CS22Hrs last 2 wks
CSDB Rating5.7 SolidPassive Rifler
Premier CS Rating23,802Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)
CSDB Leaderboard#5842 of 30169 tracked
FaceitLevel 9 · 2,410 ELOTop 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 rate50.8%49.0%52.0%1.3% short
Shot accuracy8.7%13.1%13.7%4.9% short
Kill/death ratio0.971.081.080.11 short
Match win rate44.0%46.9%48.8%4.8% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Shot accuracy. 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.GGStarterxxxxFACEITLevel 9 · 2,410 ELOSTANDINGTop 20.7% of rankedPREMIER23,802 · Pink bandcsdb.gg/stats

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Performance scores

Aim74
Positioning43
Utility57

0–100 skill scores via Leetify.

Recent form

HOT50473Last 10050%Win rateWWLWWWWWLW

Last 10 vs previous 10: +50pp win rate · -0.03 avg rating

Player DNA

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

Aim7.4
Aggression4.2
Utility5.7
Positioning4.3
Opening Duels1.0
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 88% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 600ms 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

Aim7.4
Positioning4.3
Utility5.7
Mechanics6.4
Opening Duels1.0
Win Impact5.6

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time594ms−31ms
first ⅓ avg 625ms → last ⅓ avg 594ms
Headshot accuracy19.8%−1.3%
first ⅓ avg 21.1% → last ⅓ avg 19.8%

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 — dust2 13–3
131Biggest win — mirage
5Longest win streak
W2Current streak
58In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 64% over 11infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB1991047%-0.01
ancientB1910953%0.01
dust2B189950%0.00
anubisB178947%0.02
nukeA117464%-0.01
infernoC104640%0.01
cacheA53260%-0.01
overpass1010%-0.10

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

115,417Lifetime kills
0.97K/D
6,265Matches
44.0%Match win rate
50.8%Headshot % · Top 50% of Level 9 players
8.7%Shot accuracy
14,754MVPs
2,154Hours (in match)
5,945Bombs planted
1,236Bombs defused

Most-used weapons

AK-4739,337
AWP11,786
FAMAS3,088
P2502,831
MAC-102,632
MP92,344

Lifetime map wins

4,054dust2
3,560inferno
2,981nuke
2,098vertigo
1,049train
177office
142cbble
107italy

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

Faceit stats

Combat

800Matches
53%Win rate
1.14Avg K/D
86.2ADR
51%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage16148%1.0717.2
Anubis15660%1.1717.6
Ancient13457%1.2318.3
Inferno8745%1.0716.3
Dust27549%1.0216.8
Nuke6557%1.1718.6
Vertigo4250%1.0616.9
Train2045%1.4419.9

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.

20.1%Headshot accuracy
36.5%Accuracy (enemy spotted)
42.7%Spray accuracy
78.7%Counter-strafing
10.8°Preaim
600msReaction time
31.5%T opening success
36.2%CT opening success
0.55Enemies flashed / flash
9.9%Flash assists
8.80HE damage / grenade
9.70Flashes / 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 31.4637% — 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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–11-0.0217%29 Aug
cache16–130.0131%28 Aug
nuke13–160.0224%28 Aug
dust213–80.0223%27 Aug
mirage13–1-0.0613%26 Aug
anubis10–30.0019%26 Aug
mirage13–6-0.0829%22 Aug
dust213–3-0.019%22 Aug
dust21–13-0.0415%22 Aug
mirage13–9-0.0119%22 Aug
ancient13–7-0.0118%22 Aug
inferno3–130.0534%21 Aug
nuke4–13-0.0528%14 Aug
mirage8–130.0122%14 Aug
inferno10–13-0.0514%14 Aug
mirage8–20.0522%14 Aug
anubis11–130.0421%11 Aug
dust210–13-0.0314%11 Aug
nuke13–100.0026%7 Aug
ancient6–130.0731%4 Aug
mirage10–130.0326%4 Aug
nuke13–5-0.0315%4 Aug
dust213–30.1122%3 Aug
ancient15–15-0.0114%29 Jul
inferno10–130.0318%29 Jul
anubis12–160.0324%27 Jul
mirage13–70.0210%27 Jul
dust26–13-0.0420%27 Jul
mirage1–13-0.050%26 Jul
dust216–120.0016%26 Jul
anubis3–13-0.0521%24 Jul
nuke10–130.0216%24 Jul
inferno13–20.0222%24 Jul
ancient13–9-0.0120%24 Jul
mirage7–130.0831%24 Jul
nuke15–15-0.0313%23 Jul
anubis13–10.0817%23 Jul
inferno12–16-0.0119%22 Jul
ancient13–70.0513%22 Jul
dust211–13-0.0219%22 Jul
anubis13–9-0.0020%21 Jul
cache5–13-0.0133%21 Jul
dust213–30.0527%15 Jul
mirage16–130.1126%15 Jul
anubis14–160.0723%14 Jul
anubis3–13-0.0618%14 Jul
ancient16–140.0633%14 Jul
ancient13–90.0125%14 Jul
mirage13–6-0.0810%13 Jul
mirage13–60.0322%10 Jul
ancient16–12-0.0020%10 Jul
ancient10–13-0.0223%10 Jul
cache13–9-0.0124%10 Jul
ancient13–90.0515%10 Jul
dust24–13-0.0047%10 Jul
ancient2–13-0.0510%10 Jul
dust210–13-0.0618%10 Jul
dust26–13-0.0026%10 Jul
anubis7–13-0.0126%10 Jul
nuke13–70.0413%9 Jul
anubis16–140.0425%9 Jul
inferno13–60.0520%9 Jul
anubis13–90.0624%3 Jul
anubis13–70.0218%3 Jul
ancient6–13-0.078%1 Jul
nuke16–13-0.0317%1 Jul
nuke13–9-0.0724%1 Jul
ancient11–13-0.0727%26 Jun
dust213–80.0227%26 Jun
overpass9–13-0.1017%26 Jun
anubis13–60.0725%26 Jun
ancient13–100.0121%26 Jun
dust213–10-0.0127%26 Jun
anubis10–130.0826%26 Jun
inferno13–5-0.0322%22 Jun
mirage13–100.0220%22 Jun
anubis13–70.0617%20 Jun
mirage9–130.0319%20 Jun
inferno6–5-0.0121%20 Jun
dust213–60.0929%20 Jun
ancient11–130.0531%20 Jun
ancient0–4-0.060%19 Jun
cache8–13-0.0318%12 Jun
mirage3–13-0.0417%10 Jun
nuke13–110.0521%10 Jun
inferno7–130.0220%10 Jun
dust214–160.0522%8 Jun
dust24–13-0.0415%6 Jun
dust213–10-0.0424%4 Jun
mirage9–130.0215%3 Jun
nuke13–10-0.0019%3 Jun
ancient13–60.1017%3 Jun
ancient6–130.0546%1 Jun
ancient13–50.0231%1 Jun
inferno8–130.0023%1 Jun
anubis11–13-0.0910%29 May
mirage11–13-0.0321%27 May
anubis7–13-0.0317%27 May
mirage7–13-0.0617%27 May
mirage15–15-0.0915%22 May

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →