fool

fool — CS2 Stats

EE76561197990371875[U:1:30106147]Steam profile ↗✓ No bans

1,279Tracked matches45%Win rate2020Tracked since
10,572Hours in CS42Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

+44Tracked matches · now 1,279
−1.3ppWin rate · 46.2% → 44.8%

Rating over time

Premier CS Rating: 17,674 +1,169 24 May – 30 Aug · 16 days played
16,50519,676peak 19,67624 May30 Aug
19,676Peak Premier in tracked matches
38Days played since 2026-05-18

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
Matches91——
Win rate58%——
K/D1.13——
Headshot %40%——

Measured 3 Sep 2026 → 2 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 Level 2 among CSDB-tracked players (n=5,922), 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 2 medianLevel 3 medianvs Level 3
Headshot rate41.7%41.3%41.8%meets
Shot accuracy15.2%12.7%12.2%above
Kill/death ratio1.010.950.98above
Match win rate45.6%42.6%43.3%above

Across every metric we can compare, this profile already matches the typical Level 3 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGfoolFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.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

Aim76
Positioning65
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY46–47–7Last 10046%Win rateWLLWWTWLLL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −1.9pp headshot accuracy · +31ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 522ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 528ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 513ms

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 (+2 against its own average).

Aim7.6
Utility4.7
Positioning6.5
Opening Duels2.4

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

sh1ro

Plays most like sh1ro 89% playstyle similarity

Most alike: positioning profile, 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

Aim7.6
Positioning6.5
Utility4.7
Mechanics7.4
Opening Duels3.9
Win Impact3.3

Composite 6.1/10 (Solid), 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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time499ms−50ms
first ⅓ avg 550ms → last ⅓ avg 499ms
Headshot accuracy15.7%−1.6%
first ⅓ avg 17.3% → 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

0.14Best match rating · 13–7 · nuke, 19 Sept →
50%Best headshot accuracy · 1–13 · overpass, 18 May →
375msFastest reaction time · 8–13 · ancient, 14 Sept →
13–1Biggest win · boulder, 9 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–2In matches decided by ≤2 rounds
7Overtime games

Map breakdown

trainBest map · 67% over 6mirageWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA2715–1256%0.03
vertigoA106–460%0.03
ancientB105–550%-0.02
anubisC104–640%-0.01
dust2D93–633%0.00
mirageD60–60%-0.04
trainS64–267%-0.01
overpassA53–260%0.03
cacheD51–420%-0.02
inferno—41–325%0.00
fachwerk—41–325%0.05
boulder—33–0100%0.05
italy—10–10%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

120,085Lifetime kills
1.01K/D · Top 50% of Level 2 players
7,132Matches
45.6%Match win rate · Top 50% of Level 2 players
41.7%Headshot % · Top 50% of Level 2 players
15.2%Shot accuracy · Top 50% of Level 2 players
26,352MVPs
9,831Hours (in match)
3,102Bombs planted
880Bombs defused

Most-used weapons

AK-4725,315
AWP18,409
Knife10,983
SSG 083,186
MP72,296
MP92,128

Lifetime map wins

5,816nuke
4,005inferno
2,928dust2
2,288vertigo
1,792train
1,490cbble
948office
276italy

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

Faceit stats

Combat

84Matches
64%Win rate
1.17Avg K/D
—ADR
44%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
15Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4100%1.1815.0
Vertigo3100%0.8217.7
Nuke367%1.7819.0
Dust22100%1.4320.0
Inferno2100%0.697.5
Breach 3.01100%0.8517.0
Overpass1100%2.3023.0
Anubis1100%1.1416.0

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.

15.3%Headshot accuracy
38.5%Accuracy (enemy spotted)
41.7%Spray accuracy
83.2%Counter-strafing
12.9°Preaim
497msReaction time
48.5%T opening success
42.3%CT opening success
0.57Enemies flashed / flash
8.9%Flash assists
10.07HE damage / grenade
3.61Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.881° — above the 12° mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.609 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke16–130.0715%27 Sept →
dust28–13-0.0010%27 Sept →
mirage6–13-0.0522%26 Sept →
train13–90.0216%25 Sept →
boulder13–90.078%25 Sept →
vertigo12–12-0.019%25 Sept →
vertigo13–50.0717%25 Sept →
train0–8-0.1029%25 Sept →
italy6–13-0.079%23 Sept →
dust28–130.0217%23 Sept →
nuke13–40.1219%23 Sept →
dust213–160.028%22 Sept →
ancient13–70.0515%22 Sept →
nuke11–13-0.039%21 Sept →
nuke13–90.0328%21 Sept →
dust213–110.0011%21 Sept →
nuke13–30.0518%21 Sept →
nuke13–70.1423%19 Sept →
nuke4–8-0.0330%19 Sept →
nuke9–130.0610%19 Sept →
vertigo3–130.0121%19 Sept →
anubis7–13-0.0515%19 Sept →
nuke10–130.0328%17 Sept →
inferno7–13-0.0517%17 Sept →
nuke5–130.0417%14 Sept →
ancient8–13-0.0218%14 Sept →
nuke13–10-0.0211%14 Sept →
overpass13–100.0310%11 Sept →
nuke13–110.138%11 Sept →
vertigo9–130.0313%11 Sept →
vertigo2–13-0.0116%11 Sept →
vertigo13–80.043%7 Sept →
nuke13–90.0318%7 Sept →
train13–7-0.0227%5 Sept →
boulder13–60.0420%5 Sept →
nuke13–8-0.0515%5 Sept →
fachwerk9–130.0214%5 Sept →
vertigo13–100.0418%5 Sept →
vertigo13–90.0122%4 Sept →
cache13–6-0.0223%4 Sept →
anubis12–120.0711%4 Sept →
nuke12–12-0.0126%3 Sept →
nuke13–5-0.0219%3 Sept →
vertigo13–70.0818%3 Sept →
nuke12–12-0.0626%2 Sept →
vertigo13–110.0027%2 Sept →
cache11–130.0011%2 Sept →
cache10–13-0.049%28 Aug →
cache7–13-0.0127%28 Aug →
cache5–13-0.0513%28 Aug →
fachwerk12–120.0531%20 Aug →
nuke13–6-0.0124%20 Aug →
anubis12–12-0.0513%20 Aug →
train13–30.0113%16 Aug →
train4–13-0.0126%16 Aug →
train13–50.0514%16 Aug →
anubis12–120.0213%23 Jul →
fachwerk13–30.1323%17 Jul →
fachwerk7–13-0.0217%9 Jul →
boulder13–10.059%9 Jul →
inferno6–130.0518%4 Jul →
anubis13–6-0.0810%4 Jul →
ancient13–110.0014%2 Jul →
mirage10–13-0.0217%27 Jun →
ancient2–13-0.0543%27 Jun →
overpass13–50.1014%23 Jun →
dust29–13-0.0717%23 Jun →
overpass9–130.0316%22 Jun →
overpass13–50.0514%22 Jun →
ancient13–9-0.0016%20 Jun →
dust25–13-0.0211%20 Jun →
nuke16–130.1112%17 Jun →
ancient6–13-0.0312%17 Jun →
mirage3–13-0.0615%17 Jun →
inferno12–16-0.0417%16 Jun →
nuke8–130.0324%16 Jun →
anubis9–130.0215%16 Jun →
ancient5–13-0.0416%16 Jun →
nuke13–90.0316%15 Jun →
nuke16–140.0518%15 Jun →
dust26–13-0.0118%12 Jun →
ancient8–13-0.0212%12 Jun →
mirage13–16-0.058%12 Jun →
anubis16–120.0718%9 Jun →
anubis13–9-0.0023%9 Jun →
dust213–90.0719%7 Jun →
anubis13–10-0.0216%7 Jun →
inferno13–50.0416%5 Jun →
nuke13–30.055%5 Jun →
dust213–10-0.0129%4 Jun →
nuke4–13-0.0116%4 Jun →
mirage5–130.0328%4 Jun →
ancient13–6-0.015%4 Jun →
nuke10–13-0.0216%24 May →
ancient13–5-0.0337%24 May →
mirage1–13-0.0710%24 May →
nuke7–130.0117%23 May →
anubis1–13-0.097%18 May →
overpass1–13-0.0750%18 May →
nuke2–13-0.0122%18 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 →

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