SIM — CS2 Stats

76561198865601819[U:1:905336091]✓ No bans

1,861Tracked matches50%Win rate2020Tracked since
CSDB Rating6.9 SolidAggressive Rifler
Premier CS Rating21,314Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)
CSDB Leaderboard#9178 of 26836 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Share this profile

CSDB.GGSIMPREMIER21,314 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim81
Positioning66
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY444412Last 10044%Win rateLLWWWWWTWL

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

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

Aim8.1
Aggression9.1
Utility5.9
Positioning6.6
Opening Duels4.5
Clutch2.4

Effective flashes

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 95% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 566ms 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

Aim8.1
Positioning6.6
Utility5.9
Mechanics7.8
Opening Duels4.5
Win Impact5.0

Composite 6.9/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time566ms−27ms
first ⅓ avg 594ms → last ⅓ avg 566ms
Headshot accuracy21.4%−1.5%
first ⅓ avg 22.9% → last ⅓ avg 21.4%

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

0.16Best rating — inferno 9–5
132Biggest win — cache
5Longest win streak
L2Current streak
95In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 67% over 6infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
cacheB2091145%0.02
dust2C2081240%0.02
infernoD1651131%0.01
nukeB105550%0.01
ancientC73443%0.01
officeA74357%0.04
mirageS64267%0.02
anubisC52340%0.03
vertigo43175%0.03
train21150%0.04
shelter1010%0.05
boulder1010%0.03
poseidon1010%-0.16

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

403Matches
52%Win rate
1.19Avg K/D
83.3ADR
47%Headshot %

Clutches & streaks

32%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno7345%1.0716.9
Ancient4961%1.1016.1
Vertigo4470%1.2816.8
Overpass2268%1.2216.9
Anubis2133%1.3418.0
Dust22138%1.1518.3
Nuke1145%1.0916.4
Mirage743%1.0817.4

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.

21.9%Headshot accuracy
36.7%Accuracy (enemy spotted)
38.3%Spray accuracy
85.0%Counter-strafing
10.4°Preaim
566msReaction time
48.5%T opening success
47.2%CT opening success
0.71Enemies flashed / flash
8.9%Flash assists
8.93HE damage / grenade
8.16Flashes / match

Recommended for you

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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno3–9-0.1024%28 Aug
cache5–130.0231%28 Aug
ancient13–80.0221%27 Aug
cache13–40.0620%27 Aug
cache13–8-0.0310%26 Aug
dust213–110.0219%26 Aug
cache16–12-0.0028%24 Aug
inferno12–12-0.0119%24 Aug
inferno9–50.0424%24 Aug
shelter10–130.0524%23 Aug
nuke13–60.0422%23 Aug
dust213–60.0722%22 Aug
mirage6–130.0217%22 Aug
inferno13–80.0922%19 Aug
anubis9–13-0.0410%18 Aug
dust28–13-0.0017%18 Aug
inferno9–130.0524%16 Aug
office13–40.0725%16 Aug
nuke13–60.0512%16 Aug
dust29–13-0.0918%16 Aug
train13–110.0626%15 Aug
dust212–120.1134%15 Aug
mirage13–8-0.0215%14 Aug
ancient7–13-0.0116%14 Aug
office5–13-0.0131%14 Aug
train9–130.0318%14 Aug
vertigo5–20.0325%13 Aug
cache9–130.0120%13 Aug
dust214–160.0036%5 Aug
ancient7–13-0.0322%5 Aug
mirage13–11-0.0320%4 Aug
cache9–13-0.0427%4 Aug
nuke13–11-0.018%4 Aug
dust213–110.0337%3 Aug
dust29–130.0223%2 Aug
inferno11–130.0419%2 Aug
ancient8–130.0517%31 Jul
anubis13–110.0229%31 Jul
nuke15–15-0.0632%30 Jul
inferno13–100.0520%30 Jul
cache13–40.0719%30 Jul
dust213–60.0528%30 Jul
dust212–12-0.0118%30 Jul
office8–10.1034%26 Jul
inferno7–13-0.0617%26 Jul
dust29–130.0428%26 Jul
cache13–70.0825%26 Jul
cache13–6-0.1017%26 Jul
nuke13–6-0.0115%25 Jul
nuke8–130.0026%25 Jul
inferno8–130.0415%25 Jul
inferno15–150.019%25 Jul
anubis13–40.097%24 Jul
dust26–13-0.0033%24 Jul
office13–100.1119%24 Jul
dust28–130.0315%24 Jul
nuke13–60.108%23 Jul
cache15–150.0711%23 Jul
vertigo9–50.016%22 Jul
anubis5–130.0615%22 Jul
cache13–20.0917%21 Jul
cache5–130.0021%21 Jul
cache11–110.0017%21 Jul
dust23–13-0.0317%21 Jul
ancient13–110.0121%21 Jul
cache13–60.1015%20 Jul
office9–13-0.0029%19 Jul
dust22–13-0.0033%19 Jul
inferno12–120.0924%19 Jul
office5–130.0014%18 Jul
inferno9–50.1622%18 Jul
dust213–90.0926%18 Jul
mirage8–130.0319%15 Jul
dust213–50.0232%15 Jul
cache12–120.0722%15 Jul
boulder12–120.0329%12 Jul
nuke5–13-0.0025%12 Jul
cache9–130.0525%11 Jul
mirage13–50.1124%11 Jul
cache6–13-0.0218%10 Jul
cache13–40.0121%29 Jun
nuke8–80.0532%24 Jun
vertigo9–60.0619%24 Jun
nuke11–13-0.0415%22 Jun
anubis8–130.0323%19 Jun
inferno9–130.0114%17 Jun
dust213–110.1035%14 Jun
vertigo4–90.0125%11 Jun
dust213–9-0.0123%10 Jun
ancient12–120.0512%7 Jun
poseidon3–9-0.1620%7 Jun
inferno1–9-0.2021%7 Jun
cache3–13-0.0241%5 Jun
inferno8–10-0.0021%31 May
dust212–12-0.0224%30 May
inferno13–8-0.0714%28 May
mirage13–8-0.0223%28 May
office13–110.0431%25 May
ancient13–8-0.0619%25 May
cache1–9-0.0510%23 May

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 →