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mini — CS2 Stats

GB76561197985718778[U:1:25453050]Steam profile ↗✓ No bans

423Tracked matches57%Win rate2020Tracked since
2,987Hours in CS
CSDB Rating6.2 SolidPositional Player
FaceitLevel 10 · 2,153 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,153 → 2,153
+2Tracked matches · now 423
0.0ppWin rate · 56.7% → 56.7%

Rating over time

Faceit ELO: 2,153 +0 30 Aug – 20 Sept · 3 observations
2,1532,153peak 2,15330 Aug20 Sept
2,153Highest Faceit ELO seen on CSDB
61Days played since 2022-12-31

Faceit ELO

  • At peak — 2,153
  • Next: 2,500 ELO at 2,500 — 347 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate58.1%50.9%
Shot accuracy17.3%13.7%
Kill/death ratio1.011.09
Match win rate50.4%48.4%

Share this profile

CSDB.GGminiFACEITLevel 10 · 2,153 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,153csdb.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

Aim78
Positioning56
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY66–34Last 10066%Win rateLWLLLWLWLW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −1.5pp headshot accuracy · −19ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 630ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 569ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 578ms

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).

Aim7.8
Utility4.2
Positioning5.6
Opening Duels2.3
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 96% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower 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

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. 598ms 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

Aim7.8
Positioning5.6
Utility4.2
Mechanics8.4
Opening Duels1.8
Win Impact7.2

Composite 6.2/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time594ms−54ms
first ⅓ avg 649ms → last ⅓ avg 594ms
Headshot accuracy20.7%+1.1%
first ⅓ avg 19.5% → last ⅓ avg 20.7%

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

0.20Best match rating · 16–4 · cache, 22 Sept →
38%Best headshot accuracy · 13–3 · mirage, 3 Feb →
422msFastest reaction time · 13–2 · inferno, 9 Mar →
13–0Biggest win · train, 23 Dec →

Across the last 100 tracked matches.

Highlights

7Longest win streak
14–11In matches decided by ≤2 rounds
24Overtime games

Map breakdown

nukeBest map · 80% over 15infernoWeakest map · 52% over 23
MapGradePlayedRecordWin rateAvg rating
infernoB2312–1152%0.01
mirageA1810–856%-0.00
nukeS1512–380%0.02
dust2S129–375%0.02
anubisS128–467%0.02
ancientS75–271%0.01
cacheS54–180%0.08
overpass—43–175%-0.02
train—43–175%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (52% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

168,421Lifetime kills
1.01K/D
5,127Matches
50.4%Match win rate · Top 50% of Level 10 players
58.1%Headshot % · Top 25% of Level 10 players
17.3%Shot accuracy · Top 25% of Level 10 players
15,938MVPs
2,987Hours (in match)
8,207Bombs planted
2,796Bombs defused

Most-used weapons

AK-4780,343
AWP14,562
P2504,386
FAMAS2,075
Knife2,050

Lifetime map wins

15,162dust2
10,437inferno
4,022nuke
3,895train
2,730cbble
265vertigo
64aztec
60militia

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

Faceit stats

Combat

1,699Matches
57%Win rate
1.18Avg K/D
81.2ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
14Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage7555%1.1315.1
Dust27264%1.3817.6
Inferno5768%1.2315.8
Nuke4949%1.1817.1
Anubis3266%1.2716.3
Ancient2759%1.1614.4
Train1443%1.7812.3
Overpass1267%1.1517.3

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.

20.7%Headshot accuracy
38.2%Accuracy (enemy spotted)
40.1%Spray accuracy
87.7%Counter-strafing
11.8°Preaim
598msReaction time
31.2%T opening success
42.8%CT opening success
0.49Enemies flashed / flash
10.0%Flash assists
8.32HE damage / grenade
11.25Flashes / 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 0.4909 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 31.2438% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
ancient11–130.0216%31 May →
cache13–50.0216%29 May →
nuke6–13-0.0134%29 May →
dust211–130.0328%17 Apr →
inferno8–13-0.0322%17 Apr →
nuke13–70.0523%11 Apr →
nuke4–13-0.0521%28 Mar →
overpass22–20-0.0127%24 Mar →
inferno10–13-0.027%5 Mar →
nuke16–14-0.0012%13 Feb →
dust213–90.0234%12 Feb →
mirage7–130.0428%26 Nov →
overpass6–13-0.1019%13 Nov →
inferno13–20.0621%9 Mar →
anubis14–160.0218%25 Feb →
anubis13–110.1024%25 Feb →
nuke13–40.0518%25 Feb →
train13–90.0522%25 Feb →
dust213–10-0.0217%25 Feb →
train13–9-0.0120%24 Feb →
nuke13–110.0415%22 Feb →
inferno10–13-0.0315%20 Feb →
dust214–160.0426%19 Feb →
anubis11–13-0.0215%18 Feb →
nuke13–110.0127%17 Feb →
inferno13–60.0420%17 Feb →
dust214–16-0.0623%17 Feb →
nuke13–50.0511%17 Feb →
mirage22–20-0.0321%1 Jan →
dust213–70.0218%31 Dec →
dust213–100.0222%30 Dec →
mirage7–130.0420%29 Dec →
train5–13-0.0121%29 Dec →
dust213–9-0.0316%28 Dec →
mirage13–90.0416%23 Dec →
train13–00.1326%23 Dec →
inferno11–130.0615%22 Dec →
inferno13–80.0124%20 Dec →
inferno13–160.0031%20 Dec →
anubis13–30.0823%19 Dec →
mirage13–110.0318%19 Dec →
inferno13–5-0.0421%17 Dec →
nuke16–12-0.0212%17 Dec →
mirage13–80.0525%16 Dec →
inferno13–70.0220%13 Dec →
anubis13–11-0.0221%8 Dec →
mirage17–19-0.0114%8 Dec →
nuke13–100.0112%7 Nov →
dust213–70.0717%7 Nov →
nuke13–9-0.0010%6 Nov →
anubis13–80.0815%6 Nov →
inferno9–130.0718%6 Nov →
dust216–130.0320%3 Nov →
nuke16–140.0329%3 Nov →
mirage13–16-0.0520%2 Nov →
inferno6–13-0.0729%1 Nov →
mirage11–130.0219%30 Oct →
nuke13–30.0521%29 Oct →
dust213–80.0330%29 Oct →
mirage13–8-0.0023%28 Oct →
inferno13–40.1110%28 Oct →
anubis11–130.0125%28 Oct →
nuke13–40.064%28 Oct →
anubis13–90.0716%6 Apr →
mirage5–13-0.0418%5 Apr →
anubis13–5-0.0224%5 Apr →
inferno13–11-0.0222%5 Apr →
anubis13–8-0.015%4 Apr →
ancient8–13-0.0227%4 Apr →
ancient13–90.0323%3 Apr →
overpass13–10-0.0125%6 Mar →
mirage13–90.0219%6 Mar →
mirage8–13-0.0531%3 Mar →
overpass13–30.0421%1 Mar →
mirage9–13-0.0617%1 Mar →
ancient13–6-0.0316%1 Mar →
mirage13–7-0.0111%10 Feb →
ancient13–110.0022%10 Feb →
mirage13–50.0615%10 Feb →
inferno13–8-0.0425%10 Feb →
ancient13–40.0130%7 Feb →
nuke5–13-0.0314%6 Feb →
inferno13–9-0.0410%6 Feb →
inferno13–110.017%4 Feb →
inferno13–90.008%3 Feb →
mirage13–30.0138%3 Feb →
ancient13–60.0819%3 Feb →
mirage16–14-0.0831%12 Nov →
anubis3–130.0313%29 Sept →
cache16–40.2017%22 Sept →
inferno16–70.0724%18 Sept →
cache16–30.0724%18 Sept →
cache14–160.0214%17 Sept →
cache16–80.0815%16 Sept →
dust216–100.0822%16 Sept →
inferno9–160.0221%16 Sept →
inferno8–16-0.0216%15 Sept →
inferno13–16-0.0124%1 Jan →
anubis16–14-0.0721%31 Dec →
inferno10–160.0021%31 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO100 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.