TUF

TUF — CS2 Stats

SH76561199231803965[U:1:1271538237]Steam profile ↗✓ No bans

1,144Tracked matches76%Win rate2023Tracked since
1,231Hours in CS19Hrs last 2 wks
CSDB Rating7.2 StrongClutch Specialist
Premier CS Rating16,632Purple band · top ~21.9% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,632 +2,293 12 Aug – 14 Oct · 35 days played
9,88116,632peak 16,63212 Aug14 Oct
16,973Peak Premier in tracked matches
36Days played since 2026-08-12

Premier CS Rating

  • At peak — 16,632
  • +5,533 over 30 days · improving
  • Next: Pink band at 20,000 — 3,368 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches59——
Win rate64%——
K/D1.00——
Headshot %52%——

Measured 17 Sep 2026 → 15 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate54.7%44.3%46.9%above
Shot accuracy2.7%11.9%13.0%10.2% short
Kill/death ratio0.911.031.080.17 short
Match win rate43.6%45.2%46.7%3.0% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTUFPREMIER16,632 · Purple bandcsdb.gg/stats

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Performance scores

Aim87
Positioning59
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateLWWWWLWWLT

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +1.4pp headshot accuracy · −45ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 26%
  • Avg reaction 503ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 545ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 567ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.9 against its own average).

Aim8.7
Utility4.0
Positioning5.9
Opening Duels4.7
Clutch7.4

Sharp aimerExcellent counter-strafingReliable 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

s1mple

Plays most like s1mple 92% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 61% on T to 44% on CT — first contacts on the defending side are being lost.

Reaction time. 568ms 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

Aim8.7
Positioning5.9
Utility4.0
Mechanics8.6
Opening Duels5.6
Win Impact10.0

Composite 7.2/10 (Strong), 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+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time567ms−17ms
first ⅓ avg 584ms → last ⅓ avg 567ms
Headshot accuracy23.2%−8.2%
first ⅓ avg 31.5% → last ⅓ avg 23.2%

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.

Personal bests

0.19Best match rating · 13–8 · anubis, 14 Oct →
59%Best headshot accuracy · 9–3 · poseidon, 12 Aug →
422msFastest reaction time · 13–6 · cache, 14 Oct →
13–2Biggest win · inferno, 17 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
8–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 79% over 14cacheWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB2613–1350%0.01
nukeB199–1047%0.00
anubisS1411–379%0.01
cacheC114–736%-0.01
infernoC104–640%-0.03
dust2C104–640%0.00
poseidon—43–175%0.07
ancient—32–167%-0.01
vertigo—21–150%0.00
debris—10–10%-0.07

Across the last 100 tracked matches.

Lifetime stats

30,594Lifetime kills
0.91K/D
2,204Matches
43.6%Match win rate
54.7%Headshot % · Top 25% of Purple band
2.7%Shot accuracy
5,170MVPs
681Hours (in match)
1,654Bombs planted
461Bombs defused

Most-used weapons

Lifetime map wins

2,892nuke
2,764inferno
1,044vertigo
739dust2
287train
32office
24italy
4ar_shoots

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

Faceit stats

Combat

14Matches
64%Win rate
1.14Avg K/D
80.5ADR
48%Headshot %

Clutches & streaks

57%1v1 clutch win
14%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1050%1.0514.7
Ancient2100%1.4016.0
Nuke1100%1.4217.0
Anubis1100%1.2714.0

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.

23.0%Headshot accuracy
38.2%Accuracy (enemy spotted)
36.9%Spray accuracy
88.5%Counter-strafing
8.6°Preaim
568msReaction time
61.4%T opening success
43.7%CT opening success
0.56Enemies flashed / flash
1.8%Flash assists
4.04HE damage / grenade
7.42Flashes / 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno12–160.0125%14 Oct →
anubis13–80.1934%14 Oct →
cache13–6-0.0614%14 Oct →
nuke13–40.0241%13 Oct →
anubis13–80.0616%13 Oct →
mirage11–13-0.0613%13 Oct →
anubis13–80.0126%11 Oct →
mirage13–100.0524%9 Oct →
anubis9–13-0.0318%9 Oct →
mirage15–150.0124%9 Oct →
anubis16–140.0325%9 Oct →
nuke13–110.0629%8 Oct →
ancient8–13-0.0119%8 Oct →
anubis3–13-0.0213%6 Oct →
dust213–80.0329%6 Oct →
inferno13–4-0.0719%6 Oct →
dust210–10.0127%5 Oct →
dust25–13-0.0117%5 Oct →
mirage13–30.1029%2 Oct →
ancient13–4-0.0315%2 Oct →
inferno13–30.0218%2 Oct →
dust213–30.0422%2 Oct →
mirage13–10-0.0427%1 Oct →
nuke13–40.1130%1 Oct →
anubis13–50.0621%1 Oct →
anubis13–11-0.0820%30 Sept →
anubis13–70.0124%29 Sept →
cache13–40.0125%29 Sept →
dust25–13-0.0831%29 Sept →
anubis13–5-0.0217%26 Sept →
nuke3–13-0.0825%26 Sept →
mirage15–15-0.0430%25 Sept →
anubis13–30.0121%25 Sept →
mirage13–100.0227%25 Sept →
mirage13–9-0.0622%25 Sept →
nuke9–13-0.1133%25 Sept →
inferno7–130.0024%25 Sept →
anubis6–13-0.0921%24 Sept →
mirage13–8-0.0432%24 Sept →
cache10–13-0.096%23 Sept →
dust26–13-0.0142%23 Sept →
nuke10–130.0535%23 Sept →
poseidon9–60.0025%23 Sept →
nuke8–130.0255%22 Sept →
mirage11–30.0133%22 Sept →
cache13–80.0144%22 Sept →
inferno13–7-0.0240%20 Sept →
dust211–13-0.0521%20 Sept →
mirage6–13-0.0142%20 Sept →
nuke13–80.0330%17 Sept →
anubis13–30.0144%17 Sept →
inferno13–20.0836%17 Sept →
anubis13–11-0.0721%17 Sept →
dust213–20.0634%17 Sept →
mirage13–6-0.0133%17 Sept →
mirage13–16-0.0215%16 Sept →
cache9–130.0324%16 Sept →
cache8–13-0.0212%15 Sept →
mirage8–13-0.0128%15 Sept →
cache10–13-0.0141%14 Sept →
nuke13–50.0924%14 Sept →
mirage12–16-0.0038%10 Sept →
nuke13–7-0.0515%10 Sept →
dust28–130.0430%10 Sept →
nuke8–13-0.0627%10 Sept →
cache12–16-0.0327%10 Sept →
mirage4–130.0127%10 Sept →
mirage16–120.0625%9 Sept →
nuke13–40.0837%9 Sept →
nuke6–9-0.0133%9 Sept →
mirage7–13-0.0248%8 Sept →
mirage13–100.1225%7 Sept →
mirage8–130.0126%7 Sept →
poseidon9–50.1637%3 Sept →
nuke8–8-0.0427%3 Sept →
poseidon4–9-0.0142%3 Sept →
inferno2–9-0.0656%3 Sept →
nuke6–9-0.0113%3 Sept →
debris8–8-0.0722%3 Sept →
vertigo9–70.0357%3 Sept →
vertigo8–8-0.0243%2 Sept →
inferno5–13-0.0933%2 Sept →
mirage9–00.0723%2 Sept →
cache13–160.0122%1 Sept →
nuke13–11-0.0631%30 Aug →
mirage16–140.0026%30 Aug →
nuke11–13-0.0424%30 Aug →
nuke10–13-0.0123%29 Aug →
cache13–110.0226%29 Aug →
mirage10–130.0023%24 Aug →
mirage5–130.0621%21 Aug →
mirage13–60.0348%19 Aug →
inferno11–13-0.0229%19 Aug →
cache6–130.0042%15 Aug →
dust211–13-0.0220%15 Aug →
mirage3–13-0.0327%13 Aug →
inferno6–9-0.1322%13 Aug →
nuke9–60.0013%13 Aug →
ancient13–7-0.0034%12 Aug →
poseidon9–30.1259%12 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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