JmS

JmS — CS2 Stats

FI76561198383287098[U:1:423021370]Steam profile ↗✓ No bans

3,264Tracked matches48%Win rate2020Tracked since
4,718Hours in CS13Hrs last 2 wks
CSDB Rating6.7 SolidSupport
Premier CS Rating27,594Top 5% of 213,399 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)
CSDB Leaderboard#4055 of 260005 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

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

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 27,594 +2,200 19 Sept – 31 Oct · 18 days played
25,39427,647peak 27,64719 Sept31 Oct
27,674Peak Premier in tracked matches
36Days played since 2026-09-02

Premier CS Rating

  • 53 below peak (27,647)
  • +1,195 over 30 days · improving
  • Next: Gold band at 30,000 — 2,406 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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 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 rate45.4%50.9%
Shot accuracy11.8%13.7%
Kill/death ratio1.411.09
Match win rate53.3%48.4%

Share this profile

CSDB.GGJmSFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER27,594 · Red bandcsdb.gg/stats

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Performance scores

Aim79
Positioning63
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateLWLLTWWLLW

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · +0.7pp headshot accuracy · +8ms reaction

Win rate down 20pp 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 (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 523ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 541ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 538ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim7.9
Utility7.0
Positioning6.3
Opening Duels3.9
Clutch3.0

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

Strengths & areas to improve

Strengths

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

Areas to improve

T-side openings. Opening success drops from 65% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.9
Positioning6.3
Utility7.0
Mechanics5.3
Opening Duels4.4
Win Impact4.4

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time537ms+8ms
first ⅓ avg 529ms → last ⅓ avg 537ms
Headshot accuracy23.0%−1.2%
first ⅓ avg 24.2% → last ⅓ avg 23.0%

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 · 13–2 · anubis, 25 Sept →
57%Best headshot accuracy · 3–13 · vertigo, 5 Oct →
344msFastest reaction time · 13–5 · inferno, 19 Sept →
13–2Biggest win · mirage, 7 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
3–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 75% over 16nukeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2210–1245%0.00
dust2S1913–668%-0.00
anubisS1612–475%0.03
infernoA138–562%0.00
cacheB84–450%0.03
nukeD82–625%0.03
ancientC52–340%0.01
office—41–325%0.04
train—20–20%-0.04
vertigo—21–150%0.02
italy—10–10%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

190,488Lifetime kills
1.41K/D · Top 10% of Level 10 players
6,753Matches
53.3%Match win rate · Top 25% of Level 10 players
45.4%Headshot %
11.8%Shot accuracy
20,085MVPs
2,951Hours (in match)
3,922Bombs planted
2,158Bombs defused

Most-used weapons

AK-4764,211
P25016,456
AWP14,490
MP94,225
MAC-103,045

Lifetime map wins

9,885inferno
7,727dust2
4,971office
4,067nuke
3,712vertigo
2,285train
241cbble
197safehouse

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

Faceit stats

Combat

724Matches
60%Win rate
1.31Avg K/D
86.7ADR
44%Headshot %

Clutches & streaks

35%1v1 clutch win
28%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4370%1.1916.3
Anubis2255%0.9615.7
Inferno1958%1.2316.8
Nuke1173%1.0515.6
Ancient1155%1.0615.7
Cache1040%1.1917.7
Overpass978%1.3915.7
Vertigo729%0.8012.6

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.

22.7%Headshot accuracy
33.6%Accuracy (enemy spotted)
39.1%Spray accuracy
73.8%Counter-strafing
8.2°Preaim
534msReaction time
28.9%T opening success
65.4%CT opening success
0.68Enemies flashed / flash
5.4%Flash assists
7.93HE damage / grenade
16.97Flashes / 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

    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 28.8983% — below the 40% mark we flag

Spend your practice time on Nuke

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
office7–130.0428%5 Nov →
dust213–90.0315%3 Nov →
mirage5–90.0321%1 Nov →
dust24–130.0227%1 Nov →
ancient15–150.0324%31 Oct →
mirage13–4-0.0237%31 Oct →
dust213–8-0.0424%30 Oct →
dust29–130.0125%29 Oct →
train11–13-0.0411%29 Oct →
ancient13–90.1131%29 Oct →
mirage13–6-0.0128%28 Oct →
dust213–40.0431%28 Oct →
mirage9–13-0.0621%28 Oct →
cache13–7-0.0219%28 Oct →
dust213–5-0.0214%28 Oct →
mirage3–13-0.0231%28 Oct →
vertigo13–110.0022%28 Oct →
cache10–130.0620%27 Oct →
mirage13–80.0020%27 Oct →
anubis5–13-0.1029%20 Oct →
italy1–13-0.0327%17 Oct →
dust213–100.0130%16 Oct →
dust28–13-0.0521%13 Oct →
dust21–13-0.077%13 Oct →
mirage3–13-0.0519%13 Oct →
mirage12–120.0121%13 Oct →
nuke12–120.1218%10 Oct →
ancient13–80.0117%10 Oct →
mirage13–40.0329%10 Oct →
mirage11–13-0.0316%10 Oct →
dust213–7-0.0141%10 Oct →
dust21–13-0.1025%9 Oct →
mirage7–13-0.0712%9 Oct →
dust213–50.0421%9 Oct →
mirage5–0-0.0150%9 Oct →
anubis13–90.0824%8 Oct →
train2–13-0.0533%7 Oct →
mirage13–20.0615%7 Oct →
inferno13–9-0.0221%7 Oct →
anubis13–6-0.0229%5 Oct →
office13–80.1140%5 Oct →
cache13–80.0830%5 Oct →
inferno9–10.0642%5 Oct →
vertigo3–130.0357%5 Oct →
anubis13–30.0215%4 Oct →
anubis13–50.0610%4 Oct →
office5–130.0931%3 Oct →
anubis13–40.0522%30 Sept →
mirage16–120.0617%28 Sept →
inferno13–40.0320%28 Sept →
cache7–130.0219%28 Sept →
dust213–30.1122%28 Sept →
mirage9–130.0110%27 Sept →
inferno13–80.0818%27 Sept →
anubis13–70.0117%27 Sept →
inferno13–160.0217%25 Sept →
anubis13–50.0610%25 Sept →
nuke13–110.0218%25 Sept →
nuke3–13-0.0512%25 Sept →
anubis13–20.1415%25 Sept →
mirage5–11-0.0425%25 Sept →
anubis19–16-0.0129%25 Sept →
nuke1–130.0131%25 Sept →
inferno13–8-0.0120%25 Sept →
dust27–3-0.0931%25 Sept →
dust213–30.0513%25 Sept →
mirage13–160.0215%25 Sept →
inferno4–9-0.0743%25 Sept →
dust26–13-0.0531%24 Sept →
nuke14–160.0418%24 Sept →
mirage13–50.0234%24 Sept →
ancient9–13-0.0521%24 Sept →
nuke13–20.0325%24 Sept →
mirage11–130.0421%24 Sept →
inferno16–130.0420%23 Sept →
mirage13–90.0127%23 Sept →
ancient9–13-0.0320%23 Sept →
nuke11–130.0617%23 Sept →
nuke10–130.0015%23 Sept →
cache13–80.0325%23 Sept →
anubis13–160.0526%22 Sept →
cache4–130.0626%21 Sept →
inferno13–20.0919%21 Sept →
office0–13-0.0833%21 Sept →
anubis13–30.1330%21 Sept →
cache10–130.0317%19 Sept →
inferno8–13-0.0429%19 Sept →
inferno13–5-0.1020%19 Sept →
anubis13–90.0516%16 Sept →
anubis13–90.0125%16 Sept →
inferno11–130.0219%16 Sept →
dust213–50.0319%15 Sept →
dust213–11-0.0450%9 Sept →
anubis0–13-0.0315%7 Sept →
cache13–6-0.0418%7 Sept →
inferno3–13-0.0433%7 Sept →
mirage13–80.0622%5 Sept →
mirage10–130.0226%4 Sept →
dust213–80.1023%3 Sept →
anubis15–150.0215%2 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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