Tuff

Tuff — CS2 Stats

US76561198129332575[U:1:169066847]Steam profile ↗✓ No bans

1,858Tracked matches57%Win rate2020Tracked since
CSDB Rating6.6 SolidHybrid Rifler
Premier CS Rating22,120Top 50% of 819 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)
CSDB Leaderboard#5507 of 17450 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGTuffFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER22,120 · Pink bandcsdb.gg/stats

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Performance scores

Aim78
Positioning48
Utility66

0–100 skill scores via Leetify.

Recent form

HOT49456Last 10049%Win rateWLWWWWWWLW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

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

Aim7.8
Aggression5.4
Utility6.6
Positioning4.8
Opening Duels2.3
Clutch3.0

Strong CT-side openerEffective 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

NiKo

Plays most like NiKo 92% playstyle similarity

Most alike: utility contribution, 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

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 49% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 573ms 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

Aim7.8
Positioning4.8
Utility6.6
Mechanics7.8
Opening Duels2.3
Win Impact7.4

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time578ms−51ms
first ⅓ avg 628ms → last ⅓ avg 578ms
Headshot accuracy26.2%−3.8%
first ⅓ avg 29.9% → last ⅓ avg 26.2%

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 — nuke 13–2
131Biggest win — boulder
7Longest win streak
55In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 62% over 13infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeC1771041%0.04
mirageB179853%0.01
cacheB178947%0.02
anubisA138562%0.02
dust2A138562%-0.01
ancientC104640%-0.01
infernoD72529%0.01
vertigo21150%0.01
train110100%0.03
fachwerk1010%-0.02
shelter1010%-0.04
boulder110100%0.12

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

709Matches
53%Win rate
1.15Avg K/D
79.4ADR
52%Headshot %

Clutches & streaks

35%1v1 clutch win
26%1v2 clutch win
15Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4358%1.0615.7
Dust24050%1.0415.2
Anubis2450%1.1416.6
Ancient2326%0.9114.9
Cache1070%1.1515.0
Nuke757%1.0214.3
Inferno743%0.8813.1
Vertigo633%1.1620.0

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.

25.8%Headshot accuracy
31.7%Accuracy (enemy spotted)
30.3%Spray accuracy
85.2%Counter-strafing
8.6°Preaim
573msReaction time
29.4%T opening success
48.8%CT opening success
0.71Enemies flashed / flash
6.1%Flash assists
8.68HE damage / grenade
16.02Flashes / 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 29.3941% — below the 40% mark we flag

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–9-0.0312%21 Aug
nuke11–130.0431%20 Aug
mirage13–7-0.0323%18 Aug
anubis13–100.0732%17 Aug
ancient13–6-0.0018%16 Aug
inferno13–30.0930%16 Aug
anubis13–50.0423%15 Aug
mirage13–90.0534%14 Aug
inferno5–13-0.1121%11 Aug
dust213–11-0.0028%11 Aug
ancient7–13-0.0920%10 Aug
ancient9–130.0131%10 Aug
train13–20.0331%10 Aug
nuke9–30.0113%10 Aug
dust213–11-0.0526%7 Aug
dust213–6-0.0026%5 Aug
dust25–13-0.0032%4 Aug
vertigo12–12-0.0217%3 Aug
anubis5–13-0.0131%3 Aug
inferno5–130.0121%3 Aug
cache11–13-0.0727%3 Aug
cache2–130.0443%31 Jul
dust24–13-0.0233%29 Jul
anubis15–150.0427%28 Jul
nuke13–40.0929%28 Jul
ancient9–130.0027%28 Jul
mirage13–80.1127%28 Jul
mirage13–90.0621%27 Jul
inferno13–40.0133%27 Jul
mirage10–13-0.0310%26 Jul
ancient13–100.0427%26 Jul
cache5–130.0023%25 Jul
fachwerk4–13-0.0235%25 Jul
shelter11–10-0.0428%25 Jul
boulder13–10.1250%25 Jul
cache2–13-0.0122%23 Jul
mirage16–13-0.0020%23 Jul
nuke7–130.1026%23 Jul
anubis13–40.0614%23 Jul
mirage13–7-0.0423%23 Jul
anubis14–16-0.0127%22 Jul
ancient13–4-0.0111%22 Jul
dust213–9-0.0226%22 Jul
anubis9–4-0.0239%22 Jul
ancient22–190.0422%22 Jul
mirage13–90.0628%21 Jul
nuke13–20.1835%21 Jul
mirage16–140.0319%20 Jul
nuke12–160.0223%20 Jul
ancient1–13-0.0821%20 Jul
nuke13–100.0127%20 Jul
mirage13–100.0227%20 Jul
nuke14–160.0725%18 Jul
dust213–9-0.0419%16 Jul
cache10–130.0722%16 Jul
cache16–130.0629%16 Jul
anubis13–110.0333%16 Jul
dust213–90.0344%16 Jul
cache13–30.0023%15 Jul
anubis8–130.0128%15 Jul
mirage13–160.0221%15 Jul
dust28–130.0421%15 Jul
cache4–13-0.0029%15 Jul
dust210–13-0.0233%15 Jul
cache13–60.0827%15 Jul
mirage1–13-0.0319%15 Jul
nuke13–20.1130%15 Jul
mirage8–13-0.0226%15 Jul
nuke13–5-0.0032%15 Jul
mirage10–13-0.0233%13 Jul
nuke13–60.0829%13 Jul
cache13–60.0323%13 Jul
dust213–70.0627%13 Jul
cache16–140.0121%13 Jul
nuke7–13-0.0324%11 Jul
mirage9–130.0925%10 Jul
cache13–2-0.0121%10 Jul
anubis13–60.0530%10 Jul
nuke9–130.0327%9 Jul
cache5–130.0540%7 Jul
cache13–80.0751%7 Jul
cache12–120.0328%7 Jul
cache13–70.0034%7 Jul
inferno12–120.0728%2 Jul
ancient10–130.0330%30 Jun
dust213–10-0.0126%30 Jun
dust23–13-0.0621%28 Jun
nuke6–130.0257%25 Jun
mirage15–15-0.0120%23 Jun
nuke8–13-0.0027%23 Jun
vertigo13–40.0439%23 Jun
anubis13–20.0239%21 Jun
cache3–100.0537%20 Jun
ancient8–13-0.0313%18 Jun
mirage10–13-0.0329%17 Jun
inferno6–130.0131%17 Jun
nuke7–13-0.0427%13 Jun
nuke15–15-0.0530%10 Jun
anubis6–13-0.0232%10 Jun
inferno7–13-0.0233%9 Jun

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 →