/

/ — CS2 Stats

76561199645081986[U:1:1684816258]Steam profile ↗✓ No bans

1,499Tracked matches46%Win rate2024Tracked since
CSDB Rating5.6 SolidAll-Rounder
FaceitLevel 8 · 1,858 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (64 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,858 → 1,858
+4Tracked matches · now 1,499
0.0ppWin rate · 46.2% → 46.2%

Rating over time

Premier CS Rating: 24,100 +76 24 Apr – 28 Apr · 4 days played
24,02424,788peak 24,78824 Apr28 Apr
24,944Peak Premier in tracked matches
1,858Highest Faceit ELO seen on CSDB
34Days played since 2026-04-21

Faceit ELO

  • At peak — 1,858
  • Next: Level 10 at 2,001 — 143 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-02
  • Level 8 first seen 2026-09-02

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.

Share this profile

CSDB.GG/FACEITLevel 8 · 1,858 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,858csdb.gg/stats

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Performance scores

Aim76
Positioning53
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY51–39–10Last 10051%Win rateWLWWLWLLWW

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · +6.5pp headshot accuracy · −44ms reaction

Win rate up 40pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 35%
  • Avg reaction 684ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 30%
  • Avg reaction 608ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 630ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.6
Utility4.5
Positioning5.3
Opening Duels4.0

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 97% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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. 661ms 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

Aim7.6
Positioning5.3
Utility4.5
Mechanics7.6
Opening Duels3.5
Win Impact3.7

Composite 5.6/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time657ms+2ms
first ⅓ avg 655ms → last ⅓ avg 657ms
Headshot accuracy25.1%+4.5%
first ⅓ avg 20.6% → last ⅓ avg 25.1%

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 · 1–5 · mirage, 23 Apr →
61%Best headshot accuracy · 3–13 · nuke, 13 Oct →
453msFastest reaction time · 7–13 · dust2, 23 Apr →
13–1Biggest win · mirage, 28 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 60% over 10dust2Weakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
nukeC2310–1343%-0.01
dust2C218–1338%-0.00
mirageA1911–858%0.01
cacheB1910–953%-0.01
ancientA106–460%-0.03
anubisA53–260%-0.04
inferno—22–0100%0.01
train—11–0100%0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

25.8%Headshot accuracy
31.1%Accuracy (enemy spotted)
38.5%Spray accuracy
84.3%Counter-strafing
8.2°Preaim
661msReaction time
47.7%T opening success
40.5%CT opening success
0.55Enemies flashed / flash
5.6%Flash assists
4.99HE damage / grenade
8.67Flashes / 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.

38% win rate across 21 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
ancient9–4-0.0529%13 Oct →
nuke3–130.0061%13 Oct →
train13–20.1031%13 Oct →
anubis13–7-0.0722%13 Oct →
anubis11–13-0.0830%20 Aug →
mirage13–8-0.0218%20 Aug →
cache8–13-0.0956%20 Aug →
ancient10–130.0424%9 Jul →
ancient2–2-0.080%25 Jun →
cache13–6-0.0033%12 Jun →
nuke11–13-0.0629%27 May →
mirage4–13-0.0036%25 May →
anubis13–8-0.0328%24 May →
nuke9–130.0420%22 May →
dust23–130.0231%20 May →
mirage1–13-0.0629%20 May →
dust29–13-0.0520%19 May →
mirage13–2-0.0014%19 May →
cache12–120.0116%19 May →
dust212–12-0.0117%19 May →
cache7–130.0312%18 May →
mirage13–6-0.0318%18 May →
ancient7–13-0.0413%17 May →
mirage12–120.0433%17 May →
cache4–13-0.0032%17 May →
dust212–120.0229%16 May →
cache13–3-0.0316%14 May →
dust29–130.0025%14 May →
nuke13–10-0.0225%10 May →
cache13–90.0317%10 May →
mirage13–20.0928%8 May →
cache13–30.0114%8 May →
dust213–9-0.0622%7 May →
cache5–13-0.0625%7 May →
dust210–13-0.0816%6 May →
cache11–80.0421%6 May →
mirage9–13-0.0116%6 May →
nuke12–12-0.0524%6 May →
dust212–12-0.0431%5 May →
nuke8–13-0.0335%4 May →
nuke13–5-0.0340%4 May →
cache13–5-0.0121%4 May →
cache13–10-0.0228%4 May →
dust213–100.0220%3 May →
nuke13–90.0538%3 May →
nuke7–130.0031%3 May →
mirage13–20.0213%3 May →
nuke13–100.0333%3 May →
nuke5–13-0.0829%2 May →
mirage13–100.0320%2 May →
cache13–70.0029%2 May →
dust213–100.0523%2 May →
nuke13–70.0627%2 May →
nuke8–13-0.0231%2 May →
nuke12–120.0429%1 May →
nuke13–60.0214%1 May →
cache9–13-0.079%1 May →
cache12–12-0.0320%1 May →
dust210–130.0033%1 May →
mirage13–9-0.0140%1 May →
dust212–12-0.0212%30 Apr →
cache5–13-0.0429%30 Apr →
cache13–80.0812%29 Apr →
cache13–70.0338%29 Apr →
nuke1–13-0.1317%29 Apr →
dust213–100.0026%29 Apr →
dust213–20.0514%29 Apr →
cache10–13-0.0119%29 Apr →
mirage13–1-0.0122%28 Apr →
anubis9–13-0.0812%28 Apr →
dust213–6-0.0538%28 Apr →
dust23–130.0020%28 Apr →
dust28–13-0.0030%28 Apr →
ancient13–10-0.0511%27 Apr →
nuke7–13-0.0915%27 Apr →
mirage6–13-0.0215%26 Apr →
mirage13–10-0.0223%26 Apr →
ancient11–130.0323%26 Apr →
dust216–120.0116%25 Apr →
mirage13–16-0.0221%25 Apr →
anubis13–60.0324%25 Apr →
nuke7–130.0719%25 Apr →
dust210–13-0.0441%25 Apr →
nuke13–5-0.0126%24 Apr →
ancient13–6-0.0712%24 Apr →
nuke9–130.0326%24 Apr →
ancient2–13-0.116%24 Apr →
mirage13–10-0.0322%23 Apr →
mirage1–50.1428%23 Apr →
dust213–80.1323%23 Apr →
dust27–13-0.0615%23 Apr →
inferno13–100.0120%23 Apr →
inferno13–90.0121%23 Apr →
ancient13–11-0.067%22 Apr →
nuke13–60.0416%22 Apr →
nuke13–11-0.0213%21 Apr →
mirage12–12-0.0317%21 Apr →
nuke13–11-0.0117%21 Apr →
ancient13–40.0638%21 Apr →
mirage13–60.0923%21 Apr →

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 →

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