Downdog — CS2 Stats

76561198126674285[U:1:166408557]

434Tracked matches76%Win rate2022Tracked since
302Hours in CS14Hrs last 2 wks
CSDB Rating4.5 Developing
Ladder ranks via Leetify

Performance scores

Aim50
Positioning46
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY533512Last 10053%Win rateTWLLLWWWLW

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

Player DNA

Aim5.0
Aggression4.5
Utility3.1
Positioning4.6
Opening Duels0.5

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

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 42% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim5.0
Positioning4.6
Utility3.1
Mechanics3.2
Opening Duels1.4
Win Impact10.0

Composite 4.5/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time633ms−27ms
first ⅓ avg 660ms → last ⅓ avg 633ms
Headshot accuracy12.0%−0.6%
first ⅓ avg 12.7% → last ⅓ avg 12.0%

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

0.16Best rating — shelter 13–4
131Biggest win — dust2
7Longest win streak
56In matches decided by ≤2 rounds
1Overtime games

Map breakdown

shelterBest map · 65% over 20trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A24141058%-0.00
shelterS2013765%0.01
mirageA1710759%-0.02
cacheB115645%-0.02
infernoB105550%-0.03
officeC104640%0.01
trainD51420%-0.01
overpass21150%-0.01
nuke1010%0.03

Across the last 100 tracked matches.

Lifetime stats

6,342Lifetime kills
0.77K/D
484Matches
43.4%Match win rate
37.5%Headshot %
3.8%Shot accuracy
788MVPs
187Hours (in match)
249Bombs planted
68Bombs defused

Most-used weapons

Lifetime map wins

1,399dust2
637inferno
501train
396office
110nuke
19vertigo
10ar_shoots
5lake

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.

11.5%Headshot accuracy
36.6%Accuracy (enemy spotted)
39.4%Spray accuracy
64.4%Counter-strafing
9.8°Preaim
626msReaction time
22.7%T opening success
41.5%CT opening success
0.51Enemies flashed / flash
0.6%Flash assists
6.32HE damage / grenade
1.25Flashes / 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 11.5446% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.248 — below the 4 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 22.7105% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust215–150.005%28 Aug
mirage13–7-0.0320%28 Aug
nuke8–130.0316%28 Aug
inferno8–13-0.0115%27 Aug
dust28–13-0.066%27 Aug
inferno13–110.007%26 Aug
mirage13–9-0.0119%25 Aug
dust28–40.045%25 Aug
shelter10–130.0810%24 Aug
cache13–10-0.072%21 Aug
train12–12-0.0210%21 Aug
dust213–90.0114%21 Aug
shelter9–13-0.0414%21 Aug
dust213–11-0.029%19 Aug
mirage13–11-0.0011%19 Aug
mirage13–60.018%18 Aug
dust212–12-0.0110%18 Aug
train12–12-0.029%17 Aug
shelter13–50.0611%17 Aug
office13–60.0619%16 Aug
mirage13–8-0.0510%14 Aug
dust23–13-0.0714%14 Aug
office13–70.029%12 Aug
dust213–60.0717%12 Aug
overpass12–120.0312%11 Aug
shelter13–40.1614%11 Aug
office13–30.0218%10 Aug
shelter13–80.0612%10 Aug
inferno13–110.029%8 Aug
dust213–90.0317%8 Aug
mirage13–7-0.0214%8 Aug
mirage13–6-0.0118%7 Aug
dust211–130.0413%7 Aug
cache11–13-0.0516%3 Aug
dust213–1-0.0122%3 Aug
shelter13–50.0121%3 Aug
office9–13-0.037%2 Aug
shelter13–90.0511%2 Aug
shelter9–13-0.0815%25 Jul
shelter5–130.0010%25 Jul
shelter3–13-0.0510%24 Jul
shelter8–13-0.013%24 Jul
shelter13–3-0.0214%24 Jul
shelter13–30.0811%24 Jul
shelter13–30.0113%24 Jul
shelter13–100.0110%23 Jul
shelter13–100.0512%21 Jul
shelter13–50.0413%12 Jul
shelter5–13-0.0813%12 Jul
shelter13–8-0.069%10 Jul
shelter13–9-0.0617%10 Jul
mirage13–4-0.026%8 Jul
office9–130.057%8 Jul
cache3–13-0.078%7 Jul
inferno13–11-0.079%6 Jul
mirage4–13-0.0317%6 Jul
overpass13–7-0.0511%6 Jul
cache12–12-0.0315%3 Jul
mirage8–13-0.0412%3 Jul
dust213–10-0.0410%2 Jul
dust213–7-0.016%22 Jun
inferno13–2-0.006%21 Jun
cache13–100.0916%21 Jun
dust212–12-0.047%21 Jun
train13–8-0.038%21 Jun
mirage13–90.0013%21 Jun
dust210–13-0.0214%20 Jun
mirage12–12-0.0012%20 Jun
mirage4–13-0.0411%14 Jun
dust213–80.029%14 Jun
cache6–13-0.0610%9 Jun
dust210–130.0110%9 Jun
dust213–90.1618%4 Jun
cache13–80.0715%4 Jun
office13–10-0.000%4 Jun
dust211–13-0.0514%3 Jun
mirage11–13-0.0314%3 Jun
cache6–13-0.0423%3 Jun
office12–12-0.0418%2 Jun
inferno9–13-0.0212%2 Jun
cache13–100.0013%2 Jun
dust213–9-0.0614%1 Jun
train5–13-0.013%1 Jun
office5–13-0.0110%31 May
dust211–13-0.0510%27 May
office9–130.026%25 May
inferno2–13-0.117%25 May
cache9–13-0.0515%25 May
dust213–80.036%24 May
cache13–6-0.0116%23 May
train12–120.0611%22 May
office11–130.0014%22 May
dust213–60.0219%20 May
inferno12–12-0.0317%20 May
mirage9–13-0.0211%19 May
inferno10–13-0.029%19 May
mirage12–12-0.0119%18 May
dust213–6-0.0422%18 May
mirage13–5-0.0319%11 May
inferno13–9-0.0412%11 May

Match data via Leetify.

Recent teammates

Milestones

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