Str1fE — CS2 Stats

76561199682899218[U:1:1722633490]

68Tracked matches34%Win rate2024Tracked since
720Hours in CS6Hrs last 2 wks
CSDB Rating3.1 Learning
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=673), 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 2 medianLevel 3 medianvs Level 3
Headshot rate40.4%41.2%42.2%1.7% short
Shot accuracy1.7%12.5%11.9%10.2% short
Kill/death ratio0.790.960.980.18 short
Match win rate39.1%42.8%43.6%4.4% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGStr1fEFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim40
Positioning28
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY193610Last 6529%Win rateLWWLWTWTLL

Last 10 vs previous 10: +20pp win rate · -0.04 avg rating

Player DNA

Aim4.0
Aggression1.8
Utility3.6
Positioning2.8
Opening Duels0.0

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 64% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 32% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 649ms 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

Aim4.0
Positioning2.8
Utility3.6
Mechanics5.2
Opening Duels0.2
Win Impact0.0

Composite 3.1/10 (Learning), 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-0.03+0.06
first ⅓ avg -0.09 → last ⅓ avg -0.03
Reaction time639ms−92ms
first ⅓ avg 731ms → last ⅓ avg 639ms
Headshot accuracy17.2%+6.0%
first ⅓ avg 11.2% → last ⅓ avg 17.2%

Rolling 5-match average across the last 65 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.09Best rating — inferno 4–7
133Biggest win — vertigo
3Longest win streak
38In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 67% over 6mirageWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
infernoD1541127%-0.04
mirageD1321115%-0.05
nukeD92722%-0.07
vertigoD62433%-0.03
dust2S64267%-0.01
anubisC52340%-0.05
office41325%-0.05
overpass31233%-0.12
cache21150%-0.03
ancient1010%-0.11
train1010%-0.13

Across the last 65 tracked matches.

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

Lifetime stats

10,793Lifetime kills
0.79K/D
859Matches
39.1%Match win rate
40.4%Headshot %
1.7%Shot accuracy
2,224MVPs
230Hours (in match)
603Bombs planted
235Bombs defused

Most-used weapons

Lifetime map wins

1,933inferno
1,135dust2
385vertigo
347nuke
194office
102train
15cbble
11ar_shoots

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

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
26.2%Accuracy (enemy spotted)
28.3%Spray accuracy
73.5%Counter-strafing
9.5°Preaim
649msReaction time
14.7%T opening success
31.7%CT opening success
0.52Enemies flashed / flash
1.6%Flash assists
11.52HE damage / grenade
5.48Flashes / 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 14.7106% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
overpass7–9-0.187%18 Aug
vertigo13–30.0417%10 Aug
nuke13–7-0.0422%10 Aug
inferno0–60.0532%7 Aug
office13–8-0.0311%7 Aug
inferno8–8-0.063%6 Aug
vertigo13–6-0.037%3 Aug
inferno8–8-0.085%3 Aug
cache4–13-0.0635%30 Jul
ancient9–13-0.1112%29 Jul
inferno4–70.0925%28 Jun
anubis11–13-0.0319%28 Jun
inferno9–50.0211%11 Jun
cache9–2-0.014%3 Jun
mirage3–13-0.0114%3 Jun
dust23–13-0.0529%6 Apr
mirage11–130.0621%19 Mar
office12–12-0.0129%19 Mar
inferno3–13-0.0713%14 Mar
inferno6–9-0.039%11 Mar
nuke1–13-0.1238%4 Mar
dust213–4-0.0215%27 Feb
inferno6–9-0.0814%25 Feb
dust211–130.0422%25 Feb
inferno13–10-0.013%17 Feb
inferno13–11-0.0413%16 Feb
anubis7–13-0.0623%6 Feb
mirage4–13-0.0124%31 Jan
anubis13–30.0118%29 Jan
mirage10–13-0.0417%29 Jan
nuke8–13-0.0219%26 Jan
office3–13-0.105%24 Jan
nuke5–130.0325%1 Jan
vertigo0–8-0.0314%19 Dec
nuke13–4-0.0214%20 Sept
mirage2–60.0629%20 Sept
inferno8–2-0.0418%17 Aug
dust26–00.0643%13 Aug
dust213–90.0215%8 Aug
nuke0–13-0.079%9 Jul
mirage12–12-0.0215%29 Jun
anubis13–8-0.0613%9 Apr
mirage2–13-0.139%25 Mar
train4–11-0.136%15 Nov
dust213–9-0.1210%9 Nov
nuke12–12-0.1216%20 Oct
vertigo9–13-0.1112%11 Oct
vertigo12–12-0.0412%4 Oct
nuke12–12-0.117%4 Oct
anubis4–13-0.1013%28 Sept
mirage8–13-0.0614%27 Sept
office12–12-0.0713%14 Sept
mirage14–16-0.0917%11 Sept
mirage16–14-0.0717%10 Sept
mirage5–13-0.1513%1 Sept
overpass2–13-0.096%17 Jul
vertigo12–12-0.049%14 Jul
overpass13–10-0.105%14 Jul
mirage5–13-0.120%1 Jul
nuke11–13-0.153%20 Jun
inferno0–13-0.1313%20 Jun
inferno11–13-0.123%20 Jun
mirage4–6-0.109%2 Jun
inferno8–8-0.0023%20 May
inferno7–9-0.0323%18 May

Match data via Leetify.

Recent teammates

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