fogg.

fogg. — CS2 Stats

76561197962171676[U:1:1905948]Steam profile ↗✓ No bans

2,340Tracked matches50%Win rate2022Tracked since
1,431Hours in CS
CSDB Rating7.2 StrongOpening Duellist
CSDB Leaderboard#24766 of 259990 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (31 days ago). Ranks are recorded once per day this page is viewed.

+7Tracked matches · now 2,340
−5.2ppWin rate · 55.2% → 50.0%

Rating over time

Premier CS Rating: 24,879 -1,597 23 Jul – 5 Oct · 9 days played
24,87926,476peak 26,47623 Jul5 Oct
27,014Peak Premier in tracked matches
47Days played since 2026-07-19

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
Matches7——
Win rate29%——
K/D1.03——
Headshot %30%——

Measured 5 Oct 2026 → 5 Nov 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 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 rate46.4%45.7%46.8%meets
Shot accuracy13.8%12.7%13.0%above
Kill/death ratio1.051.051.06meets
Match win rate50.9%45.7%46.3%above

Across every metric we can compare, this profile already matches the typical Level 8 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGfogg.FACEITLevel 7STANDINGTop 42.3% 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

Aim98
Positioning66
Utility55

0–100 skill scores via Leetify.

Recent form

COLD47–47–6Last 10047%Win rateLTLLLWWLWL

Last 10 vs previous 10: −30pp win rate · +0.04 avg rating · +6.9pp headshot accuracy · −9ms 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 (+0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 32%
  • Avg reaction 459ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 459ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 463ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.4 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim9.8
Utility5.5
Positioning6.6
Opening Duels6.9
Clutch3.2

Sharp aimer

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 87% playstyle similarity

Most alike: aim profile, 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 98 — the mechanical foundation is a clear strength.

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

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

Aim9.8
Positioning6.6
Utility5.5
Mechanics6.0
Opening Duels7.6
Win Impact5.0

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 rating-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time459ms−84ms
first ⅓ avg 543ms → last ⅓ avg 459ms
Headshot accuracy24.9%−1.3%
first ⅓ avg 26.2% → last ⅓ avg 24.9%

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

0.11Best match rating · 6–0 · dust2, 23 Aug →
57%Best headshot accuracy · 4–13 · cache, 14 Sept →
328msFastest reaction time · 3–13 · dust2, 5 Oct →
13–0Biggest win · dust2, 27 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 71% over 7dust2Weakest map · 44% over 61
MapGradePlayedRecordWin rateAvg rating
dust2C6127–3444%-0.01
anubisS75–271%0.02
nukeA74–357%-0.04
infernoS64–267%0.03
ancient—41–325%-0.00
cache—41–325%-0.02
mirage—31–233%-0.06
train—21–150%0.01
vertigo—22–0100%-0.02
boulder—20–20%-0.05
overpass—11–0100%-0.02
shelter—10–10%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 61). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,646Lifetime kills
1.05K/D
3,560Matches
50.9%Match win rate · Top 25% of Level 7 players
46.4%Headshot % · Top 50% of Level 7 players
13.8%Shot accuracy · Top 50% of Level 7 players
7,437MVPs
1,431Hours (in match)
2,925Bombs planted
665Bombs defused

Most-used weapons

AWP14,753
SSG 0813,956
AK-476,176
P2501,357
Tec-91,137

Lifetime map wins

21,297dust2
3,114nuke
3,074inferno
597train
392vertigo
298office
172assault
117italy

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

Faceit stats

Combat

48Matches
73%Win rate
1.13Avg K/D
86.0ADR
44%Headshot %

Clutches & streaks

36%1v1 clutch win
33%1v2 clutch win
16Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust21688%1.1116.4
Anubis956%1.2320.7
Inferno6100%1.1617.0
Ancient650%1.0917.0
Nuke3100%0.9415.0
Vertigo10%0.7112.0

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.

25.6%Headshot accuracy
39.1%Accuracy (enemy spotted)
65.2%Spray accuracy
76.9%Counter-strafing
6.0°Preaim
456msReaction time
56.1%T opening success
64.7%CT opening success
0.68Enemies flashed / flash
3.9%Flash assists
10.57HE damage / grenade
10.30Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

44% win rate across 61 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0536%4 Nov →
dust212–120.0130%3 Nov →
dust27–130.0439%3 Nov →
mirage4–13-0.0722%22 Oct →
dust210–13-0.0431%10 Oct →
inferno13–40.044%10 Oct →
inferno13–70.0019%10 Oct →
dust23–13-0.0117%5 Oct →
anubis13–60.0123%3 Oct →
ancient5–130.0434%3 Oct →
cache3–13-0.040%3 Oct →
dust28–13-0.0130%1 Oct →
dust213–2-0.060%1 Oct →
dust213–11-0.0719%1 Oct →
dust21–8-0.1113%30 Sept →
dust213–70.0232%29 Sept →
dust21–13-0.0613%25 Sept →
mirage13–10-0.0317%25 Sept →
anubis13–11-0.0021%25 Sept →
dust213–8-0.0543%23 Sept →
dust213–5-0.0428%23 Sept →
train12–120.0017%18 Sept →
dust22–13-0.0050%18 Sept →
inferno2–130.0922%18 Sept →
anubis13–10-0.0125%16 Sept →
cache4–130.0257%14 Sept →
dust213–40.0627%14 Sept →
dust213–11-0.0336%13 Sept →
dust21–10-0.0613%11 Sept →
dust213–3-0.0618%11 Sept →
dust213–80.0130%9 Sept →
dust26–10.0743%9 Sept →
dust26–13-0.0117%1 Sept →
dust210–13-0.0224%30 Aug →
dust213–90.0613%30 Aug →
dust213–100.0722%28 Aug →
dust23–13-0.0333%28 Aug →
dust213–10-0.0617%28 Aug →
dust28–13-0.070%28 Aug →
dust213–00.0336%27 Aug →
dust24–13-0.0228%26 Aug →
nuke11–130.0122%25 Aug →
dust213–9-0.0519%24 Aug →
dust213–100.0325%23 Aug →
dust210–130.027%23 Aug →
dust26–00.1130%23 Aug →
dust25–13-0.0122%22 Aug →
dust28–13-0.0138%22 Aug →
dust210–13-0.0319%21 Aug →
inferno4–13-0.0825%21 Aug →
dust213–1-0.0424%20 Aug →
dust212–12-0.0420%19 Aug →
vertigo13–110.0313%19 Aug →
dust212–12-0.0321%19 Aug →
dust29–13-0.0325%17 Aug →
overpass13–4-0.0214%16 Aug →
inferno13–90.0818%16 Aug →
dust213–30.0331%16 Aug →
dust28–130.0335%12 Aug →
ancient13–50.0235%12 Aug →
dust25–13-0.0013%11 Aug →
ancient4–13-0.0250%11 Aug →
dust23–130.0143%10 Aug →
dust213–8-0.0320%10 Aug →
vertigo13–10-0.0736%10 Aug →
boulder3–40.000%10 Aug →
anubis11–130.0517%9 Aug →
dust213–60.0340%9 Aug →
dust213–90.0517%9 Aug →
inferno13–100.0324%9 Aug →
dust211–13-0.0033%8 Aug →
nuke0–9-0.1813%5 Aug →
anubis13–80.0220%5 Aug →
dust28–130.0024%5 Aug →
nuke13–10-0.0129%3 Aug →
dust213–60.0529%2 Aug →
nuke13–10-0.0215%31 Jul →
anubis16–120.0929%31 Jul →
dust211–13-0.0538%31 Jul →
dust21–13-0.0811%31 Jul →
nuke13–100.0024%29 Jul →
cache9–13-0.0420%29 Jul →
dust213–80.0831%29 Jul →
dust210–13-0.0226%28 Jul →
dust212–12-0.0135%24 Jul →
dust213–160.0316%23 Jul →
anubis2–13-0.0231%23 Jul →
nuke7–130.0146%23 Jul →
cache13–7-0.0316%23 Jul →
dust25–13-0.0114%23 Jul →
mirage4–13-0.0915%23 Jul →
dust213–4-0.0619%21 Jul →
dust213–4-0.0533%21 Jul →
dust24–13-0.0644%21 Jul →
dust27–13-0.0931%20 Jul →
train13–90.0233%19 Jul →
dust213–80.0538%19 Jul →
nuke3–4-0.0733%19 Jul →
boulder2–6-0.1020%19 Jul →
shelter12–12-0.0016%19 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
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.