picanhas — CS2 Stats

76561198016148596[U:1:55882868]✓ No bans

1,571Tracked matches47%Win rate2022Tracked since
CSDB Rating6.6 SolidAggressive Rifler
FaceitLevel 10 · 2,421 ELOTop 12.4% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGpicanhasFACEITLevel 10 · 2,421 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim77
Positioning68
Utility66

0–100 skill scores via Leetify.

Recent form

HOT61363Last 10061%Win rateWWLWLWWWLW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

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

Aim7.7
Aggression10.0
Utility6.6
Positioning6.8
Opening Duels5.3
Clutch3.2

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 92% playstyle similarity

Most alike: positioning profile, 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

Reaction time. 556ms 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

Aim7.7
Positioning6.8
Utility6.6
Mechanics6.6
Opening Duels5.3
Win Impact3.9

Composite 6.6/10 (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 rating0.03−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time560ms−1ms
first ⅓ avg 561ms → last ⅓ avg 560ms
Headshot accuracy26.7%−2.5%
first ⅓ avg 29.2% → last ⅓ avg 26.7%

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

0.18Best rating — mirage 13–7
133Biggest win — mirage
10Longest win streak
W2Current streak
710In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 74% over 23infernoWeakest map · 42% over 24
MapGradePlayedRecordWin rateAvg rating
infernoC24101442%0.03
dust2S2317674%0.05
mirageS1712571%0.05
ancientA149564%0.02
nukeB84450%-0.02
cacheA53260%0.03
trainA53260%0.08
overpass21150%0.03
anubis220100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,731Matches
52%Win rate
1.33Avg K/D
99.5ADR
55%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage16953%1.3820.6
Inferno16052%1.4320.1
Dust215354%1.4421.7
Ancient10751%1.2920.0
Anubis5847%1.4421.1
Nuke4048%1.3423.2
Cache2065%1.6124.1
Vertigo1030%1.0016.7

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.

26.0%Headshot accuracy
32.5%Accuracy (enemy spotted)
34.8%Spray accuracy
79.7%Counter-strafing
9.7°Preaim
556msReaction time
43.9%T opening success
58.2%CT opening success
0.72Enemies flashed / flash
12.3%Flash assists
8.33HE damage / grenade
7.74Flashes / 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.

42% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–70.0946%24 Aug
dust213–50.0431%11 Aug
ancient4–13-0.0221%9 Aug
cache13–80.0826%9 Aug
mirage13–160.0028%2 Aug
inferno13–80.0636%2 Aug
cache13–70.0117%28 Jul
ancient13–80.0636%25 Jul
dust28–130.0136%19 Jul
inferno13–40.1131%17 Jul
nuke13–11-0.0125%17 Jul
mirage8–130.0427%9 Jul
ancient9–130.0110%5 Jul
inferno5–13-0.0325%5 Jul
inferno14–160.0132%22 Jun
dust216–130.0929%15 Jun
dust214–160.0825%10 Jun
ancient13–110.0723%7 Jun
cache13–80.1029%7 Jun
mirage9–130.0329%31 May
mirage7–130.0123%31 May
inferno6–13-0.0227%28 May
cache6–130.0122%27 May
cache14–16-0.0417%24 May
inferno13–60.0119%17 May
inferno6–130.0223%17 May
nuke10–13-0.0221%16 May
mirage13–30.0723%16 May
inferno13–10-0.0024%3 May
nuke4–13-0.0617%23 Apr
ancient13–100.0732%21 Apr
dust213–30.0542%1 Apr
nuke7–130.0226%25 Mar
overpass13–70.0735%23 Mar
ancient13–100.0130%23 Mar
dust213–80.0837%18 Mar
mirage13–50.0026%15 Mar
inferno9–130.0627%15 Mar
inferno7–130.0626%3 Mar
inferno11–130.0322%23 Feb
inferno6–130.1029%16 Feb
dust222–190.0522%12 Feb
dust26–130.0232%6 Feb
ancient19–160.0531%2 Jan
inferno10–130.0620%27 Dec
inferno10–130.0439%7 Dec
dust26–130.0429%6 Dec
inferno11–130.1130%1 Dec
mirage13–70.1847%23 Nov
mirage4–130.0133%23 Nov
dust213–90.0425%23 Nov
inferno14–160.0424%20 Nov
inferno13–9-0.0336%16 Nov
ancient10–130.0114%13 Nov
mirage13–80.0231%6 Nov
dust213–110.0533%30 Oct
dust213–9-0.0121%19 Oct
anubis13–4-0.0232%19 Oct
mirage13–100.0731%23 Aug
ancient16–140.0328%20 Aug
nuke13–80.0221%17 Aug
ancient25–23-0.0122%15 Aug
train13–30.1132%14 Aug
dust213–60.0428%14 Aug
ancient11–13-0.0440%14 Aug
dust213–30.0829%5 Aug
inferno13–9-0.0630%3 Aug
nuke9–13-0.0728%3 Aug
dust213–11-0.0024%3 Aug
mirage13–60.1039%3 Aug
train11–130.0145%3 Aug
overpass12–12-0.0039%2 Aug
mirage13–90.0623%1 Aug
dust213–70.1031%1 Aug
inferno12–160.0627%19 Jul
dust213–100.0420%21 Jun
inferno13–80.0019%20 Jun
dust213–70.0942%10 Jun
mirage13–90.0322%10 Jun
dust213–30.1133%10 Jun
inferno13–60.0432%10 Jun
mirage13–100.1020%8 Jun
dust211–130.0333%8 Jun
ancient11–130.0116%2 Jun
ancient13–40.0233%1 Jun
mirage13–30.0830%1 Jun
ancient13–100.0525%1 May
dust213–90.0529%29 Apr
nuke13–70.0430%24 Apr
train13–100.1545%22 Apr
dust213–90.0417%22 Apr
dust212–120.1030%20 Apr
inferno16–190.0140%20 Apr
train13–70.1323%18 Apr
inferno13–60.0326%12 Apr
train12–120.0236%12 Apr
nuke13–10-0.0621%11 Apr
mirage13–60.0830%11 Apr
mirage13–7-0.0025%8 Apr
anubis13–110.0530%4 Apr

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →