kRYPt0Ny — CS2 Stats

76561198319136695[U:1:358870967]✓ No bans

2,965Tracked matches40%Win rate2020Tracked since
10,357Hours in CS85Hrs last 2 wks
CSDB Rating6.7 SolidAggressive Rifler
FaceitLevel 10 · 3,428 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median
Headshot rate51.0%52.8%
Shot accuracy13.9%13.7%
Kill/death ratio0.971.08
Match win rate46.7%49.2%

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CSDB.GGkRYPt0NyFACEITLevel 10 · 3,428 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim86
Positioning68
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY5446Last 10054%Win rateLLLLWLWLWW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.6
Aggression8.9
Utility5.3
Positioning6.8
Opening Duels4.8
Clutch3.6

Sharp aimerStrong 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

donk

Plays most like donk 94% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 57% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6
Positioning6.8
Utility5.3
Mechanics6.6
Opening Duels4.8
Win Impact1.7

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time562ms−30ms
first ⅓ avg 592ms → last ⅓ avg 562ms
Headshot accuracy32.0%+2.0%
first ⅓ avg 30.0% → last ⅓ avg 32.0%

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

0.18Best rating — mirage 13–0
130Biggest win — mirage
8Longest win streak
L4Current streak
1313In matches decided by ≤2 rounds
16Overtime games

Map breakdown

ancientBest map · 74% over 19anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB24131154%0.02
dust2B2091145%0.01
ancientS1914574%0.02
infernoA148657%0.02
anubisD72529%-0.06
overpassB63350%-0.01
trainB63350%-0.01
nuke32167%0.00
cache1010%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

225,304Lifetime kills
0.97K/D
8,424Matches
46.7%Match win rate
51.0%Headshot %
13.9%Shot accuracy · Top 50% of Level 10 players
29,238MVPs
7,363Hours (in match)
10,656Bombs planted
3,512Bombs defused

Most-used weapons

AK-4774,411
AWP44,536
Knife5,291
P2503,968
SG 5533,569
SSG 082,837

Lifetime map wins

16,029inferno
11,871dust2
6,528train
3,849nuke
3,808vertigo
328cbble
92office
75lake

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

Faceit stats

Combat

4,154Matches
55%Win rate
1.27Avg K/D
85.6ADR
54%Headshot %

Clutches & streaks

38%1v1 clutch win
25%1v2 clutch win
19Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage66058%1.3218.5
Dust237156%1.2717.7
Ancient25056%1.2616.6
Anubis20752%1.1817.2
Inferno10959%1.2618.4
Nuke9333%1.2217.3
Overpass7659%1.3118.9
Train6144%1.2417.2

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.

31.4%Headshot accuracy
33.9%Accuracy (enemy spotted)
33.0%Spray accuracy
79.8%Counter-strafing
8.6°Preaim
548msReaction time
40.7%T opening success
57.3%CT opening success
0.61Enemies flashed / flash
6.4%Flash assists
5.88HE damage / grenade
9.13Flashes / match

Recommended for you

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache2–13-0.0441%21 Aug
mirage8–13-0.0028%21 Aug
anubis4–130.0231%20 Aug
mirage9–13-0.0128%15 Aug
mirage13–100.0635%10 Aug
anubis11–13-0.0615%9 Aug
ancient16–120.0233%9 Aug
ancient8–130.0225%9 Aug
dust216–14-0.0140%8 Aug
ancient13–20.0835%5 Aug
inferno13–160.0131%3 Aug
ancient13–110.0335%28 Jul
dust216–140.1041%27 Jul
ancient11–130.0725%21 Jul
inferno13–80.0356%20 Jul
ancient13–40.0252%7 Jul
dust213–60.1644%5 Jun
anubis11–130.0025%5 Jun
mirage11–13-0.0424%30 May
anubis13–90.0025%27 Feb
mirage17–19-0.0232%27 Feb
ancient13–80.0332%19 Feb
overpass14–16-0.0323%15 Feb
mirage14–160.0218%4 Dec
dust27–13-0.0218%4 Dec
dust25–13-0.0326%30 Nov
train5–130.0629%30 Nov
mirage10–13-0.0226%25 Nov
dust213–100.0342%14 Nov
dust211–13-0.0238%25 Oct
overpass19–17-0.0024%25 Oct
inferno9–130.0228%25 Oct
dust24–13-0.0750%24 Oct
inferno9–130.0239%24 Oct
ancient10–13-0.0826%23 Oct
mirage13–80.0224%23 Oct
inferno13–8-0.0429%23 Oct
dust24–13-0.0624%6 Oct
train6–13-0.0540%6 Oct
mirage5–13-0.0813%5 Oct
inferno11–13-0.0430%5 Oct
inferno13–10-0.0118%27 Sept
overpass5–20.0026%21 Sept
train13–90.0026%21 Sept
mirage13–6-0.0326%21 Sept
inferno16–130.0517%21 Sept
train16–19-0.0116%21 Sept
dust213–90.1028%17 Sept
dust216–140.0329%12 Sept
dust214–16-0.0619%10 Sept
inferno11–130.0725%9 Sept
dust22–130.0644%9 Sept
mirage6–130.0428%9 Sept
mirage6–130.0123%8 Sept
inferno5–13-0.0336%8 Sept
overpass9–13-0.0433%6 Sept
inferno13–60.0537%24 Aug
ancient16–14-0.0143%24 Aug
dust213–90.0628%14 Aug
dust210–13-0.0437%7 Aug
nuke8–13-0.0321%27 Jul
mirage16–120.0128%27 Jul
train16–14-0.0531%27 Jul
train13–70.0129%27 Jul
inferno13–50.0443%27 Jul
ancient13–100.0249%26 Jul
mirage13–00.1822%26 Jul
ancient5–13-0.0328%9 Jul
dust211–13-0.090%5 Jul
mirage13–30.1850%5 Jul
ancient13–20.1548%3 Jul
dust24–130.0221%17 Jun
ancient13–11-0.0235%5 Jun
inferno13–30.0828%12 May
anubis4–13-0.1015%4 May
ancient13–70.0021%1 May
dust28–130.0050%16 Apr
mirage13–50.0771%15 Apr
ancient13–4-0.0215%14 Apr
dust213–7-0.0623%14 Apr
anubis13–11-0.0227%26 Mar
dust216–130.0635%26 Mar
mirage13–90.1329%28 Feb
inferno13–11-0.028%21 Jan
mirage13–110.0124%12 Jan
ancient6–13-0.0230%13 Dec
ancient13–7-0.0019%13 Dec
mirage13–9-0.0124%13 Dec
mirage10–13-0.0623%7 Dec
nuke13–50.0643%4 Jul
nuke13–5-0.0336%2 Jul
anubis0–3-0.2450%9 May
ancient13–50.0531%12 Apr
mirage13–11-0.0338%9 Apr
ancient13–110.0741%5 Apr
overpass13–80.0619%4 Apr
mirage13–30.0839%4 Apr
overpass5–13-0.0711%3 Apr
mirage13–80.0218%8 Mar
mirage11–13-0.0441%8 Mar

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →