Systema

Systema — CS2 Stats

DE76561198025751463[U:1:65485735]Steam profile ↗✓ No bans

2,287Tracked matches47%Win rate2022Tracked since
3,782Hours in CS11Hrs last 2 wks
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating9,011Light Blue band · top ~59.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (2 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 38 days played since 31 Mar 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 9,011 -1,590 31 Mar22 Sept · 25 days played
5,32610,601peak 10,60131 Mar22 Sept
10,912Peak Premier in tracked matches
38Days played since 2026-03-31

Premier CS Rating

  • 1,590 below peak (10,601)
  • +785 over 90 days
  • Next: Blue band at 10,000 989 to go
  • Reached: Blue band · Light 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate33.7%39.9%41.9%8.3% short
Shot accuracy13.8%6.9%9.6%above
Kill/death ratio0.690.920.980.29 short
Match win rate30.4%42.3%43.8%13.4% short

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

Widest gap: Match win rate. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSystemaPREMIER9,011 · Light Blue 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

Aim48
Positioning58
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY3862Last 10038%Win rateWLLLWWLWLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −1.2pp headshot accuracy · −7ms 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

  • 23 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 613ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 633ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 636ms

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 PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim4.8
Utility4.1
Positioning5.8
Opening Duels5.3
Clutch3.0

Strong CT-side openerLimited 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, utility contribution.

Where you differ: lower opening-duel success; 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. 62% 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 62% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.8
Positioning5.8
Utility4.1
Mechanics3.3
Opening Duels5.5
Win Impact3.9

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time642ms−27ms
first ⅓ avg 668ms → last ⅓ avg 642ms
Headshot accuracy12.2%+0.6%
first ⅓ avg 11.6% → last ⅓ avg 12.2%

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

0.08Best match rating · 13–10 · anubis, 23 Aug
29%Best headshot accuracy · 10–13 · dust2, 14 Jul
469msFastest reaction time · 13–11 · cache, 23 Sept
13–1Biggest win · dust2, 19 May

Across the last 100 tracked matches.

Highlights

8Longest win streak
67In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 50% over 16nukeWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
ancientD2271532%-0.02
dust2C2191243%-0.02
infernoB168850%-0.04
cacheC135838%-0.01
anubisB115645%-0.01
nukeD91811%0.01
mirageC52340%-0.06
overpass31233%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,533Lifetime kills
0.69K/D
4,014Matches
30.4%Match win rate
33.7%Headshot %
13.8%Shot accuracy · Top 25% of Light Blue band
4,557MVPs
1,456Hours (in match)
3,102Bombs planted
475Bombs defused

Most-used weapons

Lifetime map wins

7,988inferno
5,175dust2
2,023nuke
347vertigo
118train
28lake
22ar_shoots
20safehouse

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

Faceit stats

Combat

565Matches
47%Win rate
0.86Avg K/D
76.5ADR
33%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient15548%0.9114.3
Anubis7952%1.0514.9
Inferno7764%0.9413.0
Dust27144%0.9214.9
Mirage4738%0.7614.1
Nuke2138%0.8713.4
Overpass1968%0.9113.8
Vertigo1145%0.7613.6

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.

12.5%Headshot accuracy
34.4%Accuracy (enemy spotted)
34.8%Spray accuracy
64.8%Counter-strafing
8.2°Preaim
644msReaction time
42.4%T opening success
61.7%CT opening success
0.46Enemies flashed / flash
6.7%Flash assists
11.12HE damage / grenade
3.37Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.4777% — below the 15% mark we flag

    Aim Training
  2. 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 0.4647 — below the 0.5 mark we flag

    Grenade Lineups
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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–110.0514%23 Sept
dust210–13-0.0210%22 Sept
nuke6–13-0.0111%20 Sept
ancient6–13-0.0413%20 Sept
inferno13–80.0211%17 Sept
ancient13–10-0.0210%17 Sept
ancient4–13-0.079%17 Sept
dust216–120.0523%17 Sept
nuke11–13-0.0011%8 Sept
cache13–90.0413%8 Sept
inferno13–8-0.0314%8 Sept
anubis2–13-0.0621%8 Sept
inferno5–13-0.1015%2 Sept
ancient13–90.057%23 Aug
nuke13–40.059%23 Aug
anubis13–100.0812%23 Aug
inferno13–50.0711%23 Aug
ancient11–13-0.1012%14 Jul
dust210–13-0.0329%14 Jul
cache4–13-0.076%10 Jul
dust211–13-0.0115%10 Jul
dust213–50.0412%10 Jul
ancient7–130.0315%10 Jul
nuke8–13-0.004%8 Jul
ancient10–13-0.0810%5 Jul
anubis13–90.064%30 Jun
ancient3–13-0.030%30 Jun
ancient13–50.0018%22 Jun
dust24–13-0.0724%22 Jun
inferno13–5-0.017%22 Jun
ancient13–11-0.0712%21 Jun
inferno13–11-0.0910%21 Jun
inferno13–9-0.0411%16 Jun
dust213–20.0115%10 Jun
overpass13–10-0.045%10 Jun
dust213–100.0114%8 Jun
dust216–13-0.0212%8 Jun
dust29–130.046%31 May
ancient8–13-0.0210%26 May
nuke6–130.0019%26 May
dust28–13-0.0420%26 May
inferno7–13-0.077%26 May
mirage2–13-0.0812%21 May
ancient13–30.077%21 May
anubis5–13-0.047%19 May
inferno13–70.0110%19 May
nuke4–130.0617%19 May
inferno13–5-0.067%19 May
dust213–1-0.0214%19 May
cache7–130.0021%12 May
dust211–130.0011%7 May
dust213–5-0.0413%7 May
cache13–3-0.032%6 May
cache5–13-0.0116%6 May
cache3–130.0318%6 May
cache6–13-0.057%5 May
cache13–40.0620%5 May
cache9–13-0.0213%5 May
inferno5–13-0.0310%3 May
inferno8–13-0.096%3 May
anubis13–4-0.0319%3 May
cache3–13-0.030%3 May
cache13–110.0313%3 May
cache5–13-0.097%3 May
anubis13–10-0.026%28 Apr
mirage1–13-0.145%28 Apr
inferno9–13-0.0111%27 Apr
dust24–13-0.0414%27 Apr
anubis10–13-0.019%26 Apr
ancient13–160.013%26 Apr
overpass7–13-0.0318%26 Apr
ancient7–13-0.009%26 Apr
nuke2–13-0.0311%26 Apr
nuke9–130.0012%26 Apr
dust213–6-0.039%26 Apr
mirage13–16-0.0312%24 Apr
inferno8–13-0.0611%24 Apr
overpass11–13-0.053%24 Apr
dust27–13-0.0922%24 Apr
anubis13–50.0523%15 Apr
mirage13–9-0.028%15 Apr
ancient1–13-0.0727%15 Apr
ancient8–13-0.0110%15 Apr
ancient6–13-0.0114%14 Apr
dust22–13-0.0415%14 Apr
inferno8–13-0.0319%13 Apr
dust213–11-0.0119%13 Apr
mirage13–9-0.046%13 Apr
dust24–13-0.125%12 Apr
anubis10–13-0.068%12 Apr
dust210–13-0.038%7 Apr
anubis10–13-0.035%7 Apr
ancient13–6-0.0410%7 Apr
ancient13–110.0611%6 Apr
ancient5–13-0.0314%6 Apr
anubis14–16-0.048%1 Apr
inferno9–13-0.0317%1 Apr
ancient6–13-0.046%1 Apr
ancient11–13-0.059%31 Mar
nuke7–130.008%31 Mar

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 →