77

77 — CS2 Stats

FI76561199111773564[U:1:1151507836]Steam profile ↗✓ No bans

2,932Tracked matches36%Win rate2021Tracked since
5,085Hours in CS19Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating17,343Purple band · top ~19.1% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 17,343 → 17,343
+18Tracked matches · now 2,932
−14.3ppWin rate · 50.0% → 35.7%

Rating over time

Premier CS Rating: 17,343 -1,348 12 Aug – 24 Oct · 14 days played
17,34319,424peak 19,42412 Aug24 Oct
19,761Peak Premier in tracked matches
45Days played since 2026-08-08

Premier CS Rating

  • 2,081 below peak (19,424)
  • Next: Pink band at 20,000 — 2,657 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate51.7%41.8%42.7%above
Shot accuracy10.3%12.2%11.2%0.9% short
Kill/death ratio0.740.980.990.25 short
Match win rate42.1%43.3%43.9%1.9% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG77FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER17,343 · Purple bandcsdb.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

Aim53
Positioning62
Utility41

0–100 skill scores via Leetify.

Recent form

COLD41–50–9Last 10041%Win rateTWLLWWLLLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −0.3pp headshot accuracy · +70ms reaction

Win rate 0pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 30%
  • Avg reaction 706ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 28%
  • Avg reaction 677ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 28%
  • Avg reaction 642ms

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 (+1.4 against its own average).

Aim5.3
Utility4.1
Positioning6.2
Opening Duels4.2

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

m0NESY

Plays most like m0NESY 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

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. 64% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 64% on T to 47% on CT — first contacts on the defending side are being lost.

Reaction time. 646ms 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

Aim5.3
Positioning6.2
Utility4.1
Mechanics4.9
Opening Duels6.3
Win Impact0.2

Composite 4.8/10 (Developing), 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+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time646ms−27ms
first ⅓ avg 672ms → last ⅓ avg 646ms
Headshot accuracy29.9%−0.1%
first ⅓ avg 30.1% → last ⅓ avg 29.9%

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

0.17Best match rating · 13–7 · overpass, 16 Oct →
64%Best headshot accuracy · 13–3 · nuke, 13 Oct →
453msFastest reaction time · 13–10 · nuke, 4 Sept →
13–1Biggest win · mirage, 27 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 46% over 54dust2Weakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB5425–2946%0.01
nukeC114–736%-0.01
infernoD103–730%-0.01
dust2D71–614%-0.03
ancientD51–420%-0.04
cache—42–250%-0.00
train—31–233%0.02
anubis—21–150%0.02
overpass—22–0100%0.09
vertigo—21–150%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

90,792Lifetime kills
0.74K/D
5,657Matches
42.1%Match win rate
51.7%Headshot % · Top 25% of Level 3 players
10.3%Shot accuracy
11,275MVPs
2,425Hours (in match)
3,844Bombs planted
1,053Bombs defused

Most-used weapons

AK-4727,699
AWP19,779
MAC-102,133
MP91,895
SSG 081,356

Lifetime map wins

11,699inferno
9,765nuke
3,641train
2,385dust2
1,768vertigo
57office
51lake
20cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

29.0%Headshot accuracy
28.5%Accuracy (enemy spotted)
25.0%Spray accuracy
72.1%Counter-strafing
10.2°Preaim
646msReaction time
63.8%T opening success
47.0%CT opening success
0.45Enemies flashed / flash
6.9%Flash assists
15.69HE damage / grenade
2.31Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4483 — below the 0.5 mark we flag

    Grenade Lineups →
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.

14% win rate across 7 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
mirage12–12-0.0212%4 Nov →
mirage13–11-0.0047%3 Nov →
mirage8–13-0.0129%3 Nov →
mirage9–13-0.0628%1 Nov →
mirage13–30.0434%1 Nov →
mirage13–60.0237%30 Oct →
mirage11–130.0540%30 Oct →
mirage7–130.0411%29 Oct →
nuke5–13-0.0116%29 Oct →
mirage9–13-0.0127%28 Oct →
mirage13–9-0.0726%28 Oct →
ancient8–130.0341%28 Oct →
anubis9–13-0.0322%28 Oct →
nuke9–130.0141%28 Oct →
mirage10–13-0.0028%28 Oct →
mirage13–10.1218%27 Oct →
mirage5–13-0.0339%27 Oct →
mirage13–3-0.0319%24 Oct →
mirage8–130.0827%23 Oct →
mirage12–12-0.0424%23 Oct →
mirage8–130.0138%22 Oct →
mirage10–130.0335%22 Oct →
mirage13–100.1023%22 Oct →
mirage13–90.0826%21 Oct →
dust24–13-0.0539%21 Oct →
mirage7–13-0.0529%21 Oct →
mirage9–20.0132%21 Oct →
nuke3–130.0436%17 Oct →
overpass13–70.1736%16 Oct →
dust21–13-0.140%16 Oct →
ancient3–13-0.0443%14 Oct →
mirage9–13-0.0821%14 Oct →
nuke13–30.1264%13 Oct →
overpass13–90.0124%13 Oct →
inferno9–60.1450%13 Oct →
mirage5–13-0.0950%12 Oct →
mirage13–9-0.0226%8 Oct →
ancient16–13-0.0623%7 Oct →
mirage13–70.1526%7 Oct →
nuke12–120.0133%7 Oct →
nuke13–60.0636%4 Oct →
mirage13–30.0120%4 Oct →
inferno1–6-0.0536%4 Oct →
train13–10-0.0236%4 Oct →
mirage12–120.0427%4 Oct →
mirage12–120.0728%28 Sept →
mirage13–110.0233%27 Sept →
inferno5–90.0044%23 Sept →
inferno8–8-0.0526%23 Sept →
mirage5–13-0.0925%23 Sept →
dust29–13-0.0334%23 Sept →
cache13–11-0.0129%23 Sept →
mirage1–13-0.0826%23 Sept →
nuke12–7-0.0521%22 Sept →
dust213–80.0225%22 Sept →
mirage13–8-0.0235%22 Sept →
vertigo1–130.0235%22 Sept →
mirage13–110.0022%22 Sept →
mirage13–40.0415%10 Sept →
mirage9–130.0248%10 Sept →
nuke7–9-0.0938%9 Sept →
vertigo9–40.0250%9 Sept →
inferno9–20.0242%9 Sept →
nuke13–10-0.0942%4 Sept →
mirage13–60.0239%4 Sept →
cache14–16-0.0723%4 Sept →
mirage13–16-0.0630%3 Sept →
ancient9–13-0.0516%3 Sept →
mirage7–50.0045%2 Sept →
mirage3–13-0.0633%31 Aug →
mirage13–10-0.0438%30 Aug →
mirage13–70.0433%30 Aug →
mirage13–30.0830%29 Aug →
mirage11–130.0731%29 Aug →
nuke7–90.0228%27 Aug →
inferno7–9-0.1346%27 Aug →
mirage16–140.0232%26 Aug →
mirage13–9-0.0348%25 Aug →
inferno9–130.1123%21 Aug →
dust22–130.0318%21 Aug →
train2–60.0840%21 Aug →
cache2–13-0.0129%21 Aug →
dust22–13-0.0938%20 Aug →
nuke7–13-0.0835%19 Aug →
inferno11–13-0.0813%19 Aug →
mirage13–11-0.0443%19 Aug →
mirage8–13-0.0133%18 Aug →
mirage13–90.0023%15 Aug →
train1–20.000%14 Aug →
inferno13–110.0127%13 Aug →
mirage15–150.0529%13 Aug →
anubis13–30.0644%13 Aug →
ancient7–13-0.0813%13 Aug →
cache13–30.0936%12 Aug →
dust27–130.0924%12 Aug →
inferno6–13-0.0630%12 Aug →
mirage12–12-0.0333%12 Aug →
mirage10–13-0.0332%11 Aug →
mirage10–130.0521%10 Aug →
mirage12–120.0726%8 Aug →

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.