Shadow_flo

Shadow_flo — CS2 Stats

US76561199044306550[U:1:1084040822]Steam profile ↗✓ No bans

688Tracked matches66%Win rate2020Tracked since
CSDB Rating6.9 SolidAggressive Rifler
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGShadow_floFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim80
Positioning57
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY50428Last 10050%Win rateWLWWWWLLWL

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.

Aim8.0
Aggression10.0
Utility4.4
Positioning5.7
Opening Duels4.3
Clutch8.0

Reliable in 1v1s

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

device

Plays most like device 90% 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

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

Reaction time. 603ms 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

Aim8.0
Positioning5.7
Utility4.4
Mechanics8.4
Opening Duels4.3
Win Impact10.0

Composite 6.9/10 (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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time607ms−53ms
first ⅓ avg 660ms → last ⅓ avg 607ms
Headshot accuracy24.7%+4.3%
first ⅓ avg 20.5% → last ⅓ avg 24.7%

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

0.19Best rating — vertigo 13–3
130Biggest win — dust2
6Longest win streak
77In matches decided by ≤2 rounds
2Overtime games

Map breakdown

vertigoBest map · 60% over 20cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B42222052%0.03
vertigoA2012860%0.02
mirageC83538%0.01
nukeC83538%0.03
infernoA74357%0.01
cacheD51420%0.01
ancient42250%0.04
overpass32167%0.04
office1010%-0.01
anubis110100%-0.03
train1010%0.01

Across the last 100 tracked matches.

Faceit stats

Combat

42Matches
40%Win rate
0.99Avg K/D
84.2ADR
40%Headshot %

Clutches & streaks

60%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust22100%1.8617.5
Train2100%2.0023.0
Ancient1100%1.4014.0
Anubis10%0.569.0
Mirage10%0.569.0

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.

23.3%Headshot accuracy
32.7%Accuracy (enemy spotted)
42.8%Spray accuracy
88.0%Counter-strafing
10.1°Preaim
603msReaction time
41.4%T opening success
53.1%CT opening success
0.56Enemies flashed / flash
8.1%Flash assists
11.86HE damage / grenade
5.62Flashes / match

Recommended for you

Spend your practice time on Cache

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.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust213–20.1113%28 Aug
inferno0–13-0.1020%25 Aug
ancient13–60.0920%25 Aug
overpass13–11-0.0015%25 Aug
vertigo13–10-0.0317%25 Aug
dust213–0-0.0243%25 Aug
office9–13-0.0114%25 Aug
mirage2–13-0.0513%25 Aug
vertigo13–1-0.0547%24 Aug
dust210–130.0820%24 Aug
ancient7–130.0326%24 Aug
dust26–130.0615%24 Aug
dust26–13-0.0120%22 Aug
dust213–10.0131%22 Aug
dust213–90.0614%22 Aug
mirage8–130.0127%22 Aug
dust213–6-0.0244%22 Aug
nuke13–70.0714%22 Aug
nuke0–13-0.0783%21 Aug
dust213–00.0220%21 Aug
anubis13–0-0.0325%21 Aug
dust213–80.0918%21 Aug
dust212–120.0717%21 Aug
dust213–3-0.0329%20 Aug
dust29–130.1029%20 Aug
dust213–00.1216%20 Aug
dust213–50.1135%20 Aug
mirage13–11-0.0121%20 Aug
inferno13–8-0.0113%20 Aug
dust213–40.0723%20 Aug
dust213–60.0739%19 Aug
cache8–130.0114%18 Aug
mirage9–130.0421%17 Aug
cache12–160.0019%16 Aug
mirage5–13-0.0333%16 Aug
mirage6–130.0724%12 Aug
dust25–60.0027%12 Aug
nuke11–130.0020%12 Aug
dust210–130.0625%12 Aug
dust28–13-0.0314%11 Aug
nuke13–110.0117%11 Aug
vertigo11–130.0624%7 Aug
vertigo7–00.1062%7 Aug
vertigo13–100.0327%3 Aug
inferno7–10.1114%2 Aug
mirage13–100.0813%26 Jul
dust27–130.0423%26 Jul
nuke9–50.1726%25 Jul
inferno2–130.0324%25 Jul
vertigo11–130.0920%24 Jul
vertigo13–9-0.0421%23 Jul
vertigo10–13-0.0332%22 Jul
vertigo13–60.1116%21 Jul
dust213–80.0727%21 Jul
dust212–12-0.0321%20 Jul
dust210–130.0216%20 Jul
dust27–13-0.0123%18 Jul
dust28–13-0.0220%18 Jul
dust213–10-0.0421%12 Jul
dust211–130.0931%12 Jul
dust28–13-0.0315%26 Jun
vertigo9–70.1220%5 Jun
cache7–130.0729%2 May
cache13–100.0328%1 May
cache12–12-0.0429%1 May
vertigo0–11-0.030%28 Apr
vertigo12–120.0018%25 Apr
vertigo13–100.1026%25 Apr
dust213–11-0.0217%21 Apr
dust212–12-0.0332%18 Apr
dust210–130.029%13 Apr
vertigo2–13-0.0914%11 Mar
vertigo10–13-0.1013%11 Mar
vertigo13–4-0.029%9 Mar
vertigo13–30.1936%8 Mar
vertigo13–4-0.0130%26 Feb
dust213–100.0524%24 Feb
dust213–5-0.0214%23 Feb
nuke12–12-0.0226%27 Jan
nuke11–130.049%25 Dec
inferno8–13-0.0121%23 Dec
mirage13–7-0.0133%23 Dec
inferno13–11-0.0411%21 Dec
vertigo13–80.0125%21 Dec
vertigo10–13-0.0321%21 Dec
dust24–00.0722%21 Dec
nuke7–130.0123%21 Dec
dust213–80.0518%20 Aug
dust213–40.0916%20 Aug
overpass2–90.1216%20 Aug
ancient11–13-0.0111%19 Aug
overpass13–6-0.0029%17 Aug
ancient13–90.0514%17 Aug
dust215–15-0.0624%15 Aug
train5–130.0121%22 Jul
dust29–130.0824%15 Jul
dust213–5-0.0222%24 Jun
inferno13–100.1115%24 Jun
dust213–110.1630%16 Jun
dust212–120.0718%14 Jun

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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