Tough Guy

Tough Guy — CS2 Stats

TG76561198146211607[U:1:185945879]Steam profile ↗✓ No bans

797Tracked matches43%Win rate2020Tracked since
1,117Hours in CS
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating14,186Blue band · top ~32.7% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 797 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,186 +553 15 Oct – 4 Nov · 14 days played
13,63315,117peak 15,11715 Oct4 Nov
Faceit ELO: 910 +0 4 Sept – 10 Sept · 2 observations
910910peak 9104 Sept10 Sept
15,118Peak Premier in tracked matches
910Highest Faceit ELO seen on CSDB
19Days played since 2026-07-12

Premier CS Rating

  • 931 below peak (15,117)
  • Next: Purple band at 15,000 — 814 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-11-04
  • Light Blue band first seen 2026-11-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate40.5%42.7%43.8%3.3% short
Shot accuracy13.2%11.2%12.0%above
Kill/death ratio0.960.991.020.06 short
Match win rate39.4%43.9%44.7%5.3% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTough GuyFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,186 · Blue bandPEAK ELO910csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim67
Positioning51
Utility31

0–100 skill scores via Leetify.

Recent form

COLD51–48–1Last 10051%Win rateWLLLWLLLLL

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · −0.2pp headshot accuracy · −33ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 608ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 609ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 625ms

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: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim6.7
Utility3.1
Positioning5.1
Opening Duels3.4
Clutch1.8

Limited 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.

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

donk

Plays most like donk 95% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

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.

Reaction time. 647ms 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

Aim6.7
Positioning5.1
Utility3.1
Mechanics6.9
Opening Duels6.4
Win Impact2.8

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time648ms+30ms
first ⅓ avg 618ms → last ⅓ avg 648ms
Headshot accuracy15.7%−1.5%
first ⅓ avg 17.2% → last ⅓ avg 15.7%

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.

Personal bests

0.15Best match rating · 9–13 · anubis, 25 Oct →
34%Best headshot accuracy · 6–9 · inferno, 11 Oct →
469msFastest reaction time · 0–7 · cache, 24 Oct →
13–0Biggest win · ancient, 20 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
9–2In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 83% over 12ancientWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
ancientD206–1430%0.01
dust2A1710–759%-0.00
cacheA1610–663%0.02
nukeC145–936%0.02
mirageS1210–283%0.01
infernoB115–645%0.02
anubisB105–550%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,691Lifetime kills
0.96K/D
2,377Matches
39.4%Match win rate
40.5%Headshot %
13.2%Shot accuracy · Top 50% of Level 4 players
5,526MVPs
1,117Hours (in match)
1,471Bombs planted
601Bombs defused

Most-used weapons

Lifetime map wins

6,189dust2
2,162inferno
1,048nuke
397train
331cbble
300vertigo
71office
9italy

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

Faceit stats

Combat

113Matches
50%Win rate
1.24Avg K/D
83.4ADR
37%Headshot %

Clutches & streaks

29%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1443%1.0314.5
Ancient743%1.1217.7
Dust2729%0.9817.6
Inferno683%1.1719.3
Overpass367%1.1118.7
Nuke367%1.2319.0
Train10%0.8917.0

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.

15.7%Headshot accuracy
36.6%Accuracy (enemy spotted)
38.3%Spray accuracy
81.1%Counter-strafing
9.7°Preaim
647msReaction time
60.9%T opening success
50.4%CT opening success
0.50Enemies flashed / flash
0.8%Flash assists
7.67HE damage / grenade
4.14Flashes / match

Recommended for you

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage16–14-0.0819%28 Oct →
dust29–130.0414%28 Oct →
cache7–130.0617%26 Oct →
dust210–13-0.0510%25 Oct →
anubis13–100.005%25 Oct →
inferno2–13-0.0120%25 Oct →
ancient8–13-0.0113%25 Oct →
anubis9–130.1515%25 Oct →
inferno9–130.0524%25 Oct →
dust26–130.0614%25 Oct →
inferno4–13-0.1013%25 Oct →
cache13–40.1119%24 Oct →
cache13–70.0116%24 Oct →
dust213–110.0817%24 Oct →
ancient3–130.0413%24 Oct →
cache0–70.0114%24 Oct →
dust213–10-0.0516%24 Oct →
dust216–14-0.0517%24 Oct →
ancient10–130.0115%24 Oct →
cache8–13-0.0114%24 Oct →
ancient13–16-0.0213%24 Oct →
dust213–5-0.0213%23 Oct →
ancient7–130.038%22 Oct →
mirage13–100.0217%22 Oct →
cache13–90.0316%22 Oct →
dust216–130.0822%22 Oct →
inferno7–13-0.0520%22 Oct →
mirage13–80.0519%22 Oct →
cache13–110.0121%22 Oct →
nuke1–7-0.0614%22 Oct →
ancient4–100.0421%22 Oct →
nuke12–16-0.0313%22 Oct →
ancient13–90.1118%22 Oct →
anubis16–14-0.084%22 Oct →
dust213–110.0514%21 Oct →
nuke12–16-0.0217%21 Oct →
ancient13–16-0.0512%21 Oct →
ancient5–13-0.0417%20 Oct →
ancient13–00.068%20 Oct →
ancient3–13-0.0016%20 Oct →
ancient4–130.029%20 Oct →
ancient13–80.0615%20 Oct →
inferno5–90.0318%20 Oct →
dust210–13-0.0412%20 Oct →
ancient13–100.037%20 Oct →
anubis13–110.0111%20 Oct →
anubis8–13-0.029%20 Oct →
cache13–100.0113%20 Oct →
mirage13–100.056%20 Oct →
cache13–100.0418%19 Oct →
ancient10–13-0.0110%19 Oct →
cache10–130.0211%19 Oct →
mirage10–130.019%18 Oct →
ancient13–70.0714%18 Oct →
dust213–6-0.0530%18 Oct →
dust216–12-0.0313%18 Oct →
mirage7–130.016%18 Oct →
nuke13–4-0.0215%18 Oct →
inferno13–60.0911%18 Oct →
anubis7–130.0211%18 Oct →
anubis5–13-0.0212%17 Oct →
nuke13–100.1018%17 Oct →
cache13–90.0310%17 Oct →
mirage13–100.0014%17 Oct →
dust213–40.0718%17 Oct →
nuke11–130.028%17 Oct →
inferno13–50.0410%17 Oct →
cache13–6-0.0021%17 Oct →
dust28–13-0.0416%17 Oct →
mirage13–60.029%16 Oct →
nuke7–130.0022%16 Oct →
dust26–13-0.0616%16 Oct →
mirage13–6-0.0319%16 Oct →
nuke5–13-0.0421%16 Oct →
nuke13–90.0518%15 Oct →
cache13–70.0126%15 Oct →
inferno13–3-0.0115%15 Oct →
ancient5–13-0.007%15 Oct →
dust215–15-0.0116%15 Oct →
mirage13–50.0924%15 Oct →
inferno9–10.1216%15 Oct →
ancient9–13-0.0421%14 Oct →
ancient13–20.0520%14 Oct →
dust213–10-0.0415%14 Oct →
mirage13–2-0.049%14 Oct →
nuke13–11-0.0216%14 Oct →
cache13–50.0416%14 Oct →
nuke13–10.1018%14 Oct →
anubis13–3-0.0210%14 Oct →
mirage13–5-0.018%14 Oct →
inferno13–40.0510%14 Oct →
anubis5–13-0.0115%14 Oct →
nuke9–130.1019%14 Oct →
nuke9–130.0421%14 Oct →
nuke10–13-0.0013%14 Oct →
ancient7–13-0.0616%13 Oct →
inferno6–90.0134%11 Oct →
cache13–160.0416%10 Oct →
cache11–13-0.0221%13 Jul →
anubis13–110.0623%12 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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