SwishaSweets — CS2 Stats

76561199081005699[U:1:1120739971]

1,175Tracked matches61%Win rate2024Tracked since
CSDB Rating5.5 Solid
Ladder ranks via Leetify

Performance scores

Aim59
Positioning50
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY52408Last 10052%Win rateWLWWWLLWLL

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

Player DNA

Aim5.9
Aggression5.9
Utility3.4
Positioning5.0
Opening Duels2.5

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

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: opening-duel success, 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

T-side openings. Opening success drops from 56% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 646ms 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

Aim5.9
Positioning5.0
Utility3.4
Mechanics6.6
Opening Duels3.2
Win Impact8.6

Composite 5.5/10 (Solid), 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-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time649ms−17ms
first ⅓ avg 666ms → last ⅓ avg 649ms
Headshot accuracy14.6%−1.5%
first ⅓ avg 16.2% → last ⅓ avg 14.6%

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

0.11Best rating — dust2 13–5
130Biggest win — train
6Longest win streak
54In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 67% over 18trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A37221559%-0.01
cacheS1812667%-0.01
mirageC125742%-0.03
anubisC73443%-0.02
ancientA74357%-0.02
trainC52340%0.02
nuke42250%0.00
inferno41325%-0.04
overpass31233%-0.05
office3030%-0.04

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.2%Headshot accuracy
34.0%Accuracy (enemy spotted)
34.8%Spray accuracy
79.5%Counter-strafing
9.0°Preaim
646msReaction time
23.9%T opening success
56.0%CT opening success
0.36Enemies flashed / flash
5.2%Flash assists
5.51HE damage / grenade
11.33Flashes / 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. 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 14.2214% — below the 15% mark we flag

    Aim Training
  2. 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 0.3586 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 23.91% — below the 40% mark we flag

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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust213–70.0914%27 Aug
mirage9–13-0.0021%24 Aug
dust213–50.0112%21 Aug
cache13–20.0113%21 Aug
nuke13–60.0118%19 Aug
train11–130.0413%19 Aug
mirage3–13-0.1016%18 Aug
dust213–80.0422%16 Aug
dust23–13-0.0611%16 Aug
train9–130.0215%13 Aug
train13–00.1020%13 Aug
dust213–11-0.037%12 Aug
cache13–4-0.0319%6 Aug
dust213–50.0223%5 Aug
inferno6–13-0.0313%5 Aug
cache11–13-0.0011%3 Aug
mirage9–13-0.037%3 Aug
cache13–80.0219%3 Aug
dust213–90.0218%3 Aug
cache13–5-0.0217%31 Jul
mirage2–13-0.065%31 Jul
anubis13–5-0.0317%31 Jul
dust213–10-0.0011%29 Jul
dust212–12-0.0110%29 Jul
anubis13–80.056%29 Jul
cache12–120.0412%29 Jul
dust27–13-0.0722%28 Jul
inferno7–13-0.0718%27 Jul
cache13–10-0.047%27 Jul
dust213–60.0315%27 Jul
mirage13–110.0012%26 Jul
mirage7–13-0.0527%26 Jul
inferno8–13-0.0311%26 Jul
dust215–150.0314%26 Jul
anubis4–13-0.1011%26 Jul
ancient13–10-0.0214%26 Jul
dust213–90.0513%26 Jul
dust26–13-0.1050%26 Jul
anubis13–9-0.0229%24 Jul
dust212–12-0.067%24 Jul
anubis10–13-0.0526%23 Jul
cache13–8-0.0426%20 Jul
dust213–90.0122%20 Jul
dust23–11-0.0633%20 Jul
cache12–12-0.0414%7 Jul
dust28–30.058%7 Jul
dust210–13-0.0620%26 May
dust213–60.0314%26 May
dust26–13-0.0726%20 May
cache13–9-0.0211%19 May
overpass8–13-0.1113%12 May
overpass11–13-0.0619%12 May
dust213–5-0.0620%11 May
cache13–100.0112%11 May
mirage13–9-0.0614%6 May
ancient16–140.0516%6 May
dust213–50.1121%6 May
dust213–40.0014%6 May
dust23–13-0.087%5 May
cache13–40.0115%4 May
dust213–2-0.0115%4 May
office12–120.0023%3 May
nuke6–130.0423%3 May
cache5–13-0.0414%2 May
inferno13–10-0.0319%2 May
cache13–4-0.0115%2 May
dust213–5-0.0316%1 May
dust20–6-0.0513%1 May
cache12–12-0.0521%1 May
mirage13–11-0.0417%30 Apr
ancient16–120.0316%30 Apr
cache13–11-0.0219%30 Apr
cache9–130.0414%29 Apr
cache13–6-0.0330%29 Apr
dust20–5-0.090%27 Apr
dust25–20.0623%27 Apr
train13–40.0213%27 Apr
dust213–2-0.007%26 Apr
dust24–13-0.0612%24 Apr
train7–13-0.088%24 Apr
ancient13–10-0.0412%22 Apr
anubis15–15-0.0517%21 Apr
mirage8–30.0624%21 Apr
ancient10–13-0.0114%7 Apr
dust213–100.0323%7 Apr
anubis10–130.0416%31 Mar
dust24–130.0129%31 Mar
ancient9–13-0.0415%30 Mar
mirage10–13-0.0415%30 Mar
nuke3–13-0.028%30 Mar
office5–13-0.0623%24 Mar
office3–13-0.0623%24 Mar
ancient6–13-0.085%22 Mar
mirage14–16-0.0215%22 Mar
dust213–9-0.029%9 Mar
overpass13–70.0224%2 Mar
mirage13–60.0114%2 Mar
dust213–8-0.0125%2 Mar
dust28–130.0117%23 Feb
nuke13–9-0.0213%23 Feb

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 →