RosieSmiles22 — CS2 Stats

76561199094596435[U:1:1134330707]✓ No bans

1,344Tracked matches59%Win rate2025Tracked since
1,314Hours in CS1Hrs last 2 wks
CSDB Rating4.7 Developing
WingmanGold Nova I
Ladder ranks via Leetify

Performance scores

Aim46
Positioning38
Utility48

0–100 skill scores via Leetify.

Recent form

HOT46468Last 10046%Win rateWTWLWWWLWW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim4.6
Aggression2.6
Utility4.8
Positioning3.8
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 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 703ms 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

Aim4.6
Positioning3.8
Utility4.8
Mechanics6.6
Opening Duels0.8
Win Impact7.9

Composite 4.7/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time688ms−1ms
first ⅓ avg 689ms → last ⅓ avg 688ms
Headshot accuracy14.1%+1.6%
first ⅓ avg 12.4% → last ⅓ avg 14.1%

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

0.09Best rating — cache 13–6
131Biggest win — cache
5Longest win streak
55In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 57% over 14dust2Weakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
cacheB33161748%-0.02
nukeB1910953%0.01
dust2D1651131%-0.00
mirageA148657%0.01
infernoC52340%-0.04
vertigoC52340%0.01
ancient41325%0.02
train21150%-0.04
alpine1010%-0.09
office110100%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,948Lifetime kills
1.55K/D · Top 5% of tracked players
1,909Matches
38.8%Match win rate
59.9%Headshot % · Top 10% of tracked players
0.0%Shot accuracy
2,509MVPs
650Hours (in match)
2,635Bombs planted
458Bombs defused

Most-used weapons

Lifetime map wins

4,315dust2
2,912nuke
1,406inferno
1,303vertigo
712train
380office
6ar_baggage
4ar_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.

14.0%Headshot accuracy
34.5%Accuracy (enemy spotted)
37.3%Spray accuracy
79.8%Counter-strafing
12.0°Preaim
703msReaction time
23.4%T opening success
36.4%CT opening success
0.42Enemies flashed / flash
5.6%Flash assists
6.81HE damage / grenade
10.85Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0413° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.9625% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 702.9144ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Dust 2

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.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–70.056%3 Jul
nuke15–150.0415%4 Jun
nuke13–60.0311%30 May
alpine2–13-0.0910%30 May
train13–6-0.0324%30 May
nuke13–8-0.0011%30 May
inferno13–9-0.0418%30 May
dust24–130.0622%30 May
mirage13–3-0.0113%30 May
vertigo13–30.0210%29 May
nuke13–20.049%28 May
cache13–20.0515%28 May
mirage13–6-0.0213%28 May
inferno11–13-0.0721%27 May
dust213–11-0.0720%27 May
mirage13–110.0711%27 May
cache3–30.0025%27 May
dust28–130.0515%27 May
mirage13–50.0811%27 May
ancient5–13-0.028%24 May
dust27–130.007%24 May
mirage7–3-0.0214%24 May
dust25–13-0.0510%24 May
inferno13–7-0.0221%24 May
cache13–10.0414%24 May
dust23–13-0.0317%23 May
office13–2-0.0415%23 May
train9–13-0.059%23 May
vertigo7–130.0714%23 May
mirage2–130.0016%23 May
dust213–10-0.049%23 May
dust211–13-0.0114%22 May
nuke2–8-0.0020%22 May
mirage13–60.0817%22 May
ancient13–10-0.0110%22 May
cache3–13-0.0014%22 May
dust25–130.0121%22 May
dust213–70.072%21 May
cache5–13-0.0616%21 May
nuke12–120.0515%18 May
ancient11–130.0414%18 May
cache13–8-0.0018%18 May
nuke13–6-0.0011%18 May
mirage6–13-0.0330%18 May
nuke12–120.019%13 May
cache13–7-0.005%13 May
dust24–13-0.0316%13 May
dust213–80.0317%12 May
cache13–4-0.050%12 May
cache13–6-0.100%7 May
nuke12–16-0.0111%7 May
dust23–13-0.0211%7 May
mirage13–2-0.0017%7 May
cache3–13-0.008%6 May
mirage16–130.0111%6 May
nuke6–13-0.057%6 May
mirage15–15-0.0216%6 May
cache9–13-0.0116%6 May
cache13–6-0.0218%6 May
nuke7–13-0.056%5 May
mirage7–13-0.0421%5 May
cache6–13-0.0217%4 May
vertigo9–13-0.045%4 May
dust24–13-0.109%4 May
dust213–70.0315%3 May
cache13–20.0112%3 May
cache13–80.0111%3 May
nuke3–130.0121%3 May
cache6–13-0.116%2 May
cache12–12-0.097%2 May
cache7–13-0.0313%1 May
cache13–5-0.0510%1 May
cache13–30.0010%1 May
cache1–130.0116%30 Apr
cache8–13-0.0329%30 Apr
cache8–13-0.0417%30 Apr
cache2–0-0.090%30 Apr
nuke13–80.0319%30 Apr
cache10–130.0113%29 Apr
cache13–60.0919%29 Apr
cache8–13-0.0113%29 Apr
cache7–13-0.096%29 Apr
cache5–13-0.0413%29 Apr
cache13–11-0.019%29 Apr
cache13–100.0213%29 Apr
cache13–6-0.0114%29 Apr
cache2–13-0.0321%29 Apr
inferno12–12-0.0313%28 Apr
ancient12–120.069%28 Apr
nuke13–11-0.018%28 Apr
vertigo6–13-0.0319%27 Apr
inferno8–13-0.056%27 Apr
mirage9–13-0.0014%27 Apr
nuke13–20.0311%27 Apr
vertigo13–100.033%27 Apr
nuke11–13-0.038%27 Apr
dust25–130.0518%27 Apr
nuke13–80.037%27 Apr
mirage12–120.0312%27 Apr
nuke13–90.0212%27 Apr

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 →