Triscuit

Triscuit — CS2 Stats

US76561198840836427[U:1:880570699]Steam profile ↗

1,714Tracked matches59%Win rate2022Tracked since
1,624Hours in CS6Hrs last 2 wks
CSDB Rating5.9 SolidPassive Rifler
Premier CS Rating25,681Top 25% of 819 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#1962 of 16413 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGTriscuitFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER25,681 · Red bandcsdb.gg/stats

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Performance scores

Aim63
Positioning48
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY56395Last 10056%Win rateLTWLWWWWLL

Last 10 vs previous 10: -30pp win rate · +0.03 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression4.3
Utility5.4
Positioning4.8
Opening Duels1.3
Clutch0.0

Strong CT-side openerEffective flashesLimited utility dependence

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 87% playstyle similarity

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

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

Strengths

Flashes. 0.82 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 48% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim6.3
Positioning4.8
Utility5.4
Mechanics6.1
Opening Duels2.3
Win Impact7.9

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time549ms−62ms
first ⅓ avg 611ms → last ⅓ avg 549ms
Headshot accuracy20.7%+0.7%
first ⅓ avg 20.0% → last ⅓ avg 20.7%

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

0.15Best rating — vertigo 9–1
130Biggest win — ancient
8Longest win streak
67In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 73% over 11trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoS1913668%0.00
mirageA169756%-0.02
cacheS118373%0.01
ancientB105550%0.01
dust2A85363%0.02
nukeC73443%-0.02
vertigoA74357%0.02
anubisA74357%-0.02
overpassD62433%0.00
trainD51420%-0.01
debris2020%-0.07
fachwerk110100%-0.03
warden110100%0.01

Across the last 100 tracked matches.

Lifetime stats

45,007Lifetime kills
1.10K/D · Top 50% of tracked players
2,475Matches
41.6%Match win rate
50.5%Headshot % · Top 50% of tracked players
3.4%Shot accuracy
5,139MVPs
901Hours (in match)
1,645Bombs planted
610Bombs defused

Most-used weapons

Lifetime map wins

2,799inferno
1,882nuke
1,877dust2
1,607vertigo
919train
216office
128italy
51lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

3Matches
33%Win rate
0.71Avg K/D
58.5ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
100%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke10%0.417.0
Cache1100%1.0619.0

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.

21.0%Headshot accuracy
30.9%Accuracy (enemy spotted)
32.9%Spray accuracy
77.4%Counter-strafing
10.5°Preaim
567msReaction time
21.8%T opening success
48.3%CT opening success
0.82Enemies flashed / flash
8.8%Flash assists
6.20HE damage / grenade
4.76Flashes / 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

    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 21.806% — 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
ancient8–130.0026%21 Aug
train12–120.0328%15 Aug
dust213–50.1221%15 Aug
ancient10–130.0422%14 Aug
cache13–100.0517%14 Aug
ancient16–13-0.0017%13 Aug
inferno9–5-0.0227%13 Aug
inferno9–00.0317%13 Aug
debris7–9-0.0225%13 Aug
inferno7–13-0.0517%12 Aug
inferno13–30.0223%12 Aug
ancient13–00.0724%12 Aug
ancient13–50.0511%10 Aug
train13–80.0221%10 Aug
nuke13–8-0.0819%6 Aug
cache13–10-0.0515%4 Aug
nuke13–8-0.0420%4 Aug
dust213–100.0016%4 Aug
inferno2–13-0.028%1 Aug
vertigo8–13-0.0823%1 Aug
nuke11–13-0.0620%30 Jul
cache13–3-0.0323%29 Jul
cache5–130.0152%29 Jul
vertigo13–7-0.0318%29 Jul
vertigo8–130.0334%29 Jul
cache13–70.1125%29 Jul
anubis4–13-0.0521%28 Jul
cache13–9-0.0016%28 Jul
anubis2–13-0.0518%28 Jul
mirage13–7-0.0420%28 Jul
nuke5–90.0024%28 Jul
mirage4–13-0.0213%28 Jul
cache0–2-0.010%28 Jul
inferno13–10-0.0122%28 Jul
anubis13–90.0424%28 Jul
mirage13–11-0.0714%27 Jul
anubis13–80.0436%27 Jul
dust213–100.0114%27 Jul
inferno7–130.0333%27 Jul
overpass7–3-0.0022%27 Jul
ancient12–120.0414%27 Jul
inferno13–10-0.0224%27 Jul
dust27–13-0.0526%27 Jul
vertigo9–50.0710%26 Jul
mirage13–40.0418%26 Jul
overpass12–120.0621%26 Jul
ancient13–8-0.0317%22 Jul
mirage13–9-0.0218%22 Jul
dust213–110.0316%22 Jul
train10–130.0420%22 Jul
ancient6–13-0.0517%22 Jul
anubis13–11-0.0319%21 Jul
debris4–9-0.1324%21 Jul
vertigo9–10.1540%21 Jul
cache7–13-0.0428%21 Jul
fachwerk13–9-0.0321%12 Jul
vertigo13–50.0021%11 Jul
cache13–100.0126%9 Jul
overpass11–13-0.0518%6 Jul
nuke8–130.0023%6 Jul
inferno13–90.0113%28 Jun
inferno13–8-0.0114%27 Jun
mirage9–13-0.0611%26 Jun
anubis7–13-0.0513%26 Jun
mirage12–60.0011%25 Jun
inferno8–130.0115%24 Jun
cache13–5-0.0020%24 Jun
anubis13–8-0.0115%23 Jun
cache13–110.0622%22 Jun
inferno13–9-0.0318%22 Jun
train12–12-0.0517%20 Jun
mirage13–20.0432%18 Jun
overpass4–13-0.0414%17 Jun
ancient13–7-0.0012%17 Jun
mirage1–13-0.0818%17 Jun
dust210–13-0.0015%16 Jun
mirage13–2-0.0811%16 Jun
overpass10–130.0030%16 Jun
mirage11–130.0016%15 Jun
warden13–100.0148%15 Jun
inferno13–40.0833%11 Jun
inferno9–13-0.0715%9 Jun
dust213–40.0415%9 Jun
mirage7–13-0.0211%8 Jun
mirage13–11-0.0116%8 Jun
ancient10–13-0.0116%8 Jun
dust26–130.0119%8 Jun
nuke13–20.0122%5 Jun
nuke11–130.0129%4 Jun
train12–12-0.0914%1 Jun
inferno13–100.0315%1 Jun
mirage7–13-0.0813%1 Jun
mirage13–30.0328%31 May
inferno8–13-0.0216%31 May
vertigo5–9-0.0238%31 May
mirage11–13-0.0219%30 May
inferno13–110.0517%29 May
inferno13–70.0616%29 May
inferno13–60.0117%29 May
overpass13–80.0624%29 May

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 →