Core — CS2 Stats

76561198154027240[U:1:193761512]

885Tracked matches41%Win rate2020Tracked since
3,807Hours in CS8Hrs last 2 wks
CSDB Rating5.2 DevelopingHybrid Rifler
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 medianLevel 9 medianvs Level 9
Headshot rate55.9%47.2%49.0%above
Shot accuracy18.8%12.3%13.1%above
Kill/death ratio0.801.071.080.28 short
Match win rate68.5%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCoreFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim69
Positioning68
Utility25

0–100 skill scores via Leetify.

Recent form

COLD43498Last 10043%Win rateWTLLLLLLWW

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

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

Aim6.9
Aggression10.0
Utility2.5
Positioning6.8
Opening Duels5.5
Clutch1.8

Limited utility dependence

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

sh1ro

Plays most like sh1ro 83% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

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

Reaction time. 574ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.9
Positioning6.8
Utility2.5
Mechanics4.1
Opening Duels5.5
Win Impact1.9

Composite 5.2/10 (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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time580ms−12ms
first ⅓ avg 592ms → last ⅓ avg 580ms
Headshot accuracy19.1%−2.3%
first ⅓ avg 21.4% → last ⅓ avg 19.1%

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

0.28Best rating — ancient 13–2
131Biggest win — mirage
6Longest win streak
27In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 71% over 14trainWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
ancientC2491538%0.00
cacheC167944%0.01
anubisS1410471%0.01
overpassC125742%0.02
nukeD93633%0.01
mirageB63350%0.04
trainD61517%0.02
infernoD61517%0.00
office2020%-0.02
dust2220100%0.03
jura21150%-0.01
grail110100%0.01

Across the last 100 tracked matches.

Lifetime stats

145,476Lifetime kills
0.80K/D
5,778Matches
68.5%Match win rate · Top 1% of Level 8 players
55.9%Headshot % · Top 25% of Level 8 players
18.8%Shot accuracy · Top 10% of Level 8 players
14,469MVPs
4,901Hours (in match)
5,270Bombs planted
2,789Bombs defused

Most-used weapons

AK-4764,918
SG 5537,536
AWP7,496
AUG2,823
Knife2,471
MAC-102,022

Lifetime map wins

9,720dust2
6,939inferno
2,827nuke
2,636train
2,409vertigo
385cbble
221office
195lake

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

Faceit stats

Combat

306Matches
54%Win rate
1.14Avg K/D
80.1ADR
40%Headshot %

Clutches & streaks

29%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis2458%1.2515.3
Ancient2264%1.1816.1
Mirage771%1.1914.7
Inferno560%1.1118.6
Nuke475%1.0116.0
Train4100%1.5819.0
Dust23100%1.3320.7
Vertigo1100%1.0716.0

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.

19.0%Headshot accuracy
35.3%Accuracy (enemy spotted)
44.3%Spray accuracy
68.4%Counter-strafing
10.1°Preaim
574msReaction time
52.5%T opening success
51.2%CT opening success
0.42Enemies flashed / flash
1.9%Flash assists
6.50HE damage / grenade
2.37Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4222 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Train

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
overpass13–90.0416%23 Aug
overpass12–120.1111%23 Aug
mirage4–13-0.0127%23 Aug
ancient10–13-0.0315%22 Aug
train4–13-0.0124%22 Aug
cache11–13-0.018%20 Aug
ancient8–13-0.0517%20 Aug
cache3–130.0013%20 Aug
anubis13–50.0326%19 Aug
cache13–90.0222%16 Aug
anubis13–100.0723%16 Aug
ancient13–70.0122%14 Aug
cache13–5-0.0228%11 Aug
nuke13–70.0716%6 Aug
cache12–120.0023%5 Aug
nuke5–130.0019%4 Aug
cache13–90.0819%20 Jul
office11–13-0.0414%19 Jul
nuke7–10-0.0620%19 Jul
cache11–130.0023%19 Jul
ancient13–20.2829%4 Jul
cache13–10-0.0017%3 Jul
cache9–130.0119%3 Jul
anubis6–130.0321%26 Jun
cache9–13-0.0221%26 Jun
anubis8–13-0.0511%6 Jun
anubis5–12-0.0011%4 Jun
nuke8–130.0523%4 Jun
cache13–10-0.0229%4 Jun
nuke12–12-0.0112%19 May
anubis13–70.0512%17 May
cache12–120.0925%17 May
inferno9–13-0.0117%3 May
inferno10–130.0124%2 May
cache5–130.0023%2 May
cache13–80.0423%1 May
cache5–130.0120%1 May
cache13–9-0.0113%1 May
inferno5–130.0217%28 Apr
mirage13–10.1632%27 Apr
anubis10–10.0120%26 Apr
overpass13–80.0625%26 Apr
inferno12–12-0.0117%25 Apr
mirage3–13-0.0222%25 Apr
inferno8–10.0637%25 Apr
overpass10–130.0319%23 Apr
overpass9–130.0020%21 Apr
ancient13–6-0.0525%21 Apr
ancient4–13-0.0324%17 Apr
nuke13–50.0618%6 Apr
overpass7–13-0.0310%6 Apr
mirage13–50.0831%5 Apr
nuke13–20.0011%5 Apr
ancient10–130.0619%5 Apr
anubis13–100.0527%28 Mar
mirage11–13-0.029%19 Mar
dust216–130.0418%7 Mar
anubis13–9-0.0130%27 Feb
inferno8–13-0.0521%27 Feb
ancient13–8-0.039%21 Feb
dust213–50.0321%21 Feb
ancient10–13-0.0224%20 Feb
overpass11–50.0225%14 Nov
overpass14–16-0.0423%8 Nov
train13–110.0120%2 Nov
ancient12–120.0320%28 Sept
nuke4–13-0.0632%14 Sept
ancient13–50.1018%14 Sept
anubis13–40.039%24 Aug
nuke15–15-0.0033%21 Aug
ancient8–13-0.0120%21 Aug
anubis13–10-0.0225%16 Aug
office7–130.0059%16 Aug
ancient3–13-0.0318%16 Aug
overpass13–9-0.059%16 Aug
train3–13-0.0116%10 Aug
ancient6–13-0.0218%10 Aug
overpass11–13-0.0415%10 Aug
anubis7–13-0.0224%9 Aug
train8–130.0930%9 Aug
overpass11–00.1035%9 Aug
ancient4–13-0.0514%9 Aug
ancient13–20.0427%3 Aug
overpass11–130.0125%3 Aug
ancient8–13-0.116%3 Aug
anubis13–90.0217%3 Aug
ancient13–20.1020%31 Jul
ancient13–16-0.0220%12 Jul
ancient13–30.0619%12 Jul
ancient9–13-0.0412%27 Jun
mirage13–40.0316%7 Jun
ancient13–5-0.0023%31 May
anubis13–11-0.0119%25 May
ancient3–130.0137%25 May
train10–13-0.0116%16 May
ancient1–13-0.1113%16 May
train12–120.0426%10 May
jura13–5-0.0227%10 May
grail13–40.0122%10 May
jura10–13-0.0020%8 May

Match data via Leetify.

Recent teammates

Milestones

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