Fow-T

Fow-T — CS2 Stats

DE76561198063199708[U:1:102933980]Steam profile ↗✓ No bans

3,111Tracked matches40%Win rate2021Tracked since
5,344Hours in CS21Hrs last 2 wks
CSDB Rating5.5 SolidSupport
CSDB Leaderboard#57759 of 258931 tracked
FaceitLevel 7 · 1,713 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (60 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,713 → 1,713
+104Tracked matches · now 3,111
−10.0ppWin rate · 50.0% → 40.0%

Rating over time

Premier CS Rating: 21,869 -510 25 Jul – 1 Sept · 9 days played
21,86922,966peak 22,96625 Jul1 Sept
23,330Peak Premier in tracked matches
1,713Highest Faceit ELO seen on CSDB
41Days played since 2026-07-25

Faceit ELO

  • At peak — 1,713
  • Next: Level 9 at 1,751 — 38 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-01
  • Level 7 first seen 2026-09-01

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate40.0%45.7%46.8%6.8% short
Shot accuracy14.7%12.7%13.0%above
Kill/death ratio0.991.051.060.08 short
Match win rate39.8%45.7%46.3%6.5% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFow-TFACEITLevel 7 · 1,713 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,713csdb.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

Aim70
Positioning53
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY42–58Last 10042%Win rateLWLLLWLWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −2.7pp headshot accuracy · −9ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 523ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 528ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 533ms

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: Support — Utility contribution stands above the rest of this profile (+2.5 against its own average).

Aim7.0
Utility6.9
Positioning5.3
Opening Duels2.0
Clutch3.4

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

iM

Plays most like iM 80% playstyle similarity

Most alike: opening-duel success, 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 →

CSDB Rating breakdown

Aim7.0
Positioning5.3
Utility6.9
Mechanics7.1
Opening Duels3.3
Win Impact1.7

Composite 5.5/10 (Solid), 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 rating-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time548ms−41ms
first ⅓ avg 589ms → last ⅓ avg 548ms
Headshot accuracy14.9%+0.7%
first ⅓ avg 14.2% → last ⅓ avg 14.9%

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

0.12Best match rating · 13–8 · anubis, 9 Oct →
32%Best headshot accuracy · 8–13 · dust2, 23 Oct →
344msFastest reaction time · 7–13 · nuke, 1 Sept →
13–4Biggest win · inferno, 22 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–12In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 55% over 11nukeWeakest map · 0% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB2914–1548%0.00
ancientC198–1142%-0.02
dust2C188–1044%-0.01
cacheA116–555%-0.00
anubisB105–550%-0.00
nukeD90–90%-0.05
mirage—31–233%-0.02
shelter—10–10%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

151,979Lifetime kills
0.99K/D
7,897Matches
39.8%Match win rate
40.0%Headshot %
14.7%Shot accuracy · Top 50% of Level 7 players
13,722MVPs
3,226Hours (in match)
10,079Bombs planted
1,933Bombs defused

Most-used weapons

AK-4741,285
AWP14,203
MP93,943
P2503,610
MAC-103,405
MP73,308

Lifetime map wins

18,881inferno
14,054dust2
3,548nuke
1,800cbble
1,093vertigo
881train
855office
191lake

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

Faceit stats

Combat

1,116Matches
48%Win rate
0.91Avg K/D
68.6ADR
40%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno31359%0.9613.4
Ancient22747%0.8913.0
Dust217641%0.8913.1
Anubis13949%0.9413.6
Nuke5740%0.7611.8
Overpass5645%0.7912.8
Cache1958%0.9812.9
Train1040%0.8811.7

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.

14.6%Headshot accuracy
36.0%Accuracy (enemy spotted)
39.7%Spray accuracy
82.0%Counter-strafing
11.2°Preaim
549msReaction time
43.3%T opening success
42.9%CT opening success
0.57Enemies flashed / flash
10.5%Flash assists
9.79HE damage / grenade
8.42Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.5879% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

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

0% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke15–19-0.0613%30 Oct →
ancient13–60.0212%30 Oct →
cache6–13-0.0313%30 Oct →
shelter8–13-0.0113%29 Oct →
ancient9–13-0.034%27 Oct →
inferno13–9-0.0010%27 Oct →
dust23–13-0.0318%25 Oct →
ancient19–150.0210%25 Oct →
anubis13–7-0.0217%23 Oct →
inferno14–16-0.019%23 Oct →
anubis11–13-0.027%23 Oct →
dust28–13-0.0532%23 Oct →
anubis13–90.0517%18 Oct →
inferno11–13-0.0413%9 Oct →
anubis13–80.1215%9 Oct →
ancient7–13-0.037%9 Oct →
cache6–13-0.056%9 Oct →
anubis13–100.0125%4 Oct →
inferno13–110.0113%4 Oct →
inferno13–60.108%4 Oct →
inferno13–60.038%3 Oct →
anubis13–8-0.0511%3 Oct →
ancient13–90.0318%3 Oct →
ancient4–13-0.0625%29 Sept →
anubis17–19-0.0419%29 Sept →
inferno9–130.0626%29 Sept →
dust214–160.0622%28 Sept →
mirage3–13-0.0620%28 Sept →
cache7–13-0.0616%28 Sept →
ancient4–13-0.0312%28 Sept →
dust28–13-0.0014%27 Sept →
ancient10–130.0417%26 Sept →
inferno10–130.0221%25 Sept →
ancient13–50.0216%25 Sept →
inferno10–13-0.059%22 Sept →
anubis7–13-0.0117%21 Sept →
inferno17–190.0115%16 Sept →
nuke5–13-0.0311%12 Sept →
inferno13–8-0.0613%12 Sept →
inferno16–13-0.0013%11 Sept →
inferno11–130.0616%11 Sept →
inferno10–13-0.0110%9 Sept →
nuke11–13-0.0412%9 Sept →
nuke11–13-0.0412%9 Sept →
ancient7–13-0.0431%8 Sept →
ancient16–13-0.0112%8 Sept →
dust213–9-0.0211%8 Sept →
inferno13–5-0.018%7 Sept →
ancient7–13-0.0211%7 Sept →
inferno4–13-0.087%4 Sept →
inferno16–12-0.0515%1 Sept →
inferno6–13-0.0410%1 Sept →
nuke7–130.0130%1 Sept →
dust210–130.0110%31 Aug →
dust219–170.0116%29 Aug →
dust27–13-0.0514%29 Aug →
ancient8–13-0.068%29 Aug →
cache3–13-0.054%28 Aug →
ancient13–9-0.0321%28 Aug →
inferno13–10-0.0322%28 Aug →
nuke10–13-0.0413%28 Aug →
inferno13–9-0.0115%28 Aug →
cache13–10-0.0015%25 Aug →
ancient16–13-0.0323%25 Aug →
inferno6–130.0311%23 Aug →
dust213–80.0313%22 Aug →
cache16–120.0215%22 Aug →
inferno13–40.0531%22 Aug →
cache13–50.0314%22 Aug →
ancient10–13-0.0320%18 Aug →
anubis20–22-0.029%18 Aug →
dust23–13-0.0615%18 Aug →
cache13–70.0415%15 Aug →
ancient9–13-0.0214%11 Aug →
nuke8–13-0.069%11 Aug →
inferno10–130.059%8 Aug →
dust210–130.029%8 Aug →
cache7–13-0.0514%8 Aug →
cache13–60.019%8 Aug →
dust29–130.0220%6 Aug →
dust213–80.0015%6 Aug →
mirage16–130.0116%6 Aug →
inferno13–6-0.0013%5 Aug →
dust28–13-0.0519%5 Aug →
dust213–7-0.0524%5 Aug →
inferno10–130.0521%1 Aug →
inferno7–10.0712%1 Aug →
anubis7–13-0.0514%31 Jul →
ancient9–13-0.048%31 Jul →
inferno11–13-0.0311%31 Jul →
nuke1–13-0.077%31 Jul →
inferno9–13-0.0412%31 Jul →
dust213–110.0313%28 Jul →
ancient19–16-0.0414%28 Jul →
nuke5–13-0.0614%28 Jul →
cache13–40.1125%26 Jul →
inferno13–110.019%26 Jul →
dust213–60.009%26 Jul →
mirage11–13-0.0211%25 Jul →
dust213–8-0.0315%25 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.