Bartmac

Bartmac — CS2 Stats

76561197999380458[U:1:39114730]Steam profile ↗✓ No bans

1,142Tracked matches57%Win rate2023Tracked since
CSDB Rating5.9 SolidPositional Player
Premier CS Rating18,171Purple band · top ~15.8% of ranked players (population est.)
FaceitLevel 6 · 1,231 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 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.

Rating over time

Premier CS Rating: 18,171 +795 13 Aug – 29 Sept · 19 days played
16,31419,000peak 19,00013 Aug29 Sept
19,000Peak Premier in tracked matches
1,231Highest Faceit ELO seen on CSDB
26Days played since 2026-08-12

Faceit ELO

  • At peak — 1,231
  • Next: Level 7 at 1,351 — 120 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 829 below peak (19,000)
  • +1,508 over 30 days · improving
  • Next: Pink band at 20,000 — 1,829 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGBartmacFACEITLevel 6 · 1,231 ELOSTANDINGTop 54.0% of rankedPREMIER18,171 · Purple bandPEAK ELO1,231csdb.gg/stats

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Performance scores

Aim61
Positioning62
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateLWLWWLLWLL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −3.3pp headshot accuracy · −69ms reaction

Win rate down 20pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 7%
  • Avg reaction 458ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 7%
  • Avg reaction 523ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 557ms

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 (+1.5 against its own average).

Aim6.1
Utility5.3
Positioning6.2
Opening Duels4.0
Clutch3.2

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

jL

Plays most like jL 83% 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

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 43% on CT — first contacts on the defending side are being lost.

Reaction time. 555ms 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

Aim6.1
Positioning6.2
Utility5.3
Mechanics5.4
Opening Duels5.5
Win Impact7.2

Composite 5.9/10 (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 rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time545ms−3ms
first ⅓ avg 548ms → last ⅓ avg 545ms
Headshot accuracy10.4%−2.8%
first ⅓ avg 13.2% → last ⅓ avg 10.4%

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 · nuke, 8 Sept →
33%Best headshot accuracy · 13–11 · inferno, 31 Aug →
78msFastest reaction time · 0–13 · inferno, 29 Sept →
13–2Biggest win · nuke, 8 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

anubisBest map · 73% over 15dust2Weakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
ancientS2417–771%-0.02
infernoA2113–862%-0.02
nukeC208–1240%0.01
anubisS1511–473%0.00
dust2C145–936%-0.01
mirage—30–30%-0.04
cache—21–150%-0.03
italy—11–0100%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

629Matches
51%Win rate
0.84Avg K/D
64.0ADR
39%Headshot %

Clutches & streaks

36%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient17059%0.8712.1
Anubis13554%0.8812.9
Inferno12248%0.8112.2
Nuke6850%0.9313.1
Dust23931%0.7611.4
Overpass3560%0.8112.4
Vertigo3047%0.7111.8
Mirage1921%0.6310.8

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.

10.4%Headshot accuracy
35.6%Accuracy (enemy spotted)
42.0%Spray accuracy
74.1%Counter-strafing
10.8°Preaim
555msReaction time
60.8%T opening success
43.2%CT opening success
0.54Enemies flashed / flash
5.6%Flash assists
7.20HE damage / grenade
7.14Flashes / 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 10.3654% — below the 15% mark we flag

    Aim Training →
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.

36% win rate across 14 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
inferno0–13-0.080%29 Sept →
anubis13–80.018%29 Sept →
mirage8–13-0.039%29 Sept →
nuke13–4-0.0413%29 Sept →
ancient13–5-0.008%29 Sept →
nuke10–13-0.0214%26 Sept →
ancient8–13-0.053%26 Sept →
ancient9–40.010%26 Sept →
anubis11–130.0210%26 Sept →
ancient13–16-0.0411%26 Sept →
anubis13–30.0514%26 Sept →
ancient9–130.0012%26 Sept →
nuke13–60.0017%25 Sept →
inferno13–4-0.0410%25 Sept →
dust22–13-0.0012%25 Sept →
ancient13–8-0.0215%25 Sept →
ancient13–8-0.052%23 Sept →
inferno13–9-0.067%23 Sept →
mirage3–13-0.0312%23 Sept →
cache7–13-0.046%22 Sept →
inferno13–110.0319%22 Sept →
dust213–100.0115%22 Sept →
nuke8–130.0113%22 Sept →
ancient13–10-0.0514%20 Sept →
anubis13–90.0513%20 Sept →
anubis13–11-0.0012%20 Sept →
dust26–13-0.0611%20 Sept →
ancient13–110.0611%18 Sept →
italy13–10-0.047%18 Sept →
anubis8–13-0.058%18 Sept →
dust212–4-0.0313%18 Sept →
ancient13–110.0213%10 Sept →
ancient13–7-0.0315%10 Sept →
nuke19–15-0.0221%10 Sept →
anubis13–7-0.008%10 Sept →
ancient13–10-0.0414%9 Sept →
nuke7–13-0.0617%9 Sept →
anubis10–13-0.0311%9 Sept →
inferno9–13-0.106%9 Sept →
ancient10–13-0.0312%8 Sept →
inferno13–110.0120%8 Sept →
nuke13–70.1018%8 Sept →
inferno10–13-0.0216%8 Sept →
nuke13–20.1413%8 Sept →
dust213–30.025%6 Sept →
nuke14–160.0413%6 Sept →
dust213–70.1224%6 Sept →
anubis13–80.029%6 Sept →
nuke7–130.0111%6 Sept →
anubis13–70.028%5 Sept →
inferno7–13-0.0123%5 Sept →
mirage10–13-0.0513%5 Sept →
inferno13–80.0022%4 Sept →
dust213–8-0.0711%4 Sept →
dust24–13-0.0514%3 Sept →
nuke13–10-0.0112%3 Sept →
nuke5–13-0.0121%3 Sept →
inferno13–11-0.0119%3 Sept →
ancient8–13-0.017%3 Sept →
anubis13–10-0.0112%1 Sept →
inferno14–16-0.0611%1 Sept →
dust211–130.0513%1 Sept →
nuke10–130.1016%1 Sept →
inferno13–4-0.0418%31 Aug →
inferno13–110.0533%31 Aug →
inferno19–150.0410%30 Aug →
ancient13–60.0116%30 Aug →
ancient6–130.0517%29 Aug →
ancient4–130.0314%29 Aug →
ancient13–9-0.043%25 Aug →
dust22–13-0.109%25 Aug →
anubis13–100.0214%25 Aug →
inferno10–13-0.039%25 Aug →
anubis4–13-0.007%25 Aug →
nuke4–13-0.053%25 Aug →
ancient16–14-0.047%21 Aug →
ancient13–5-0.0314%21 Aug →
dust211–13-0.0917%21 Aug →
nuke7–13-0.0513%18 Aug →
nuke10–130.0120%18 Aug →
ancient13–9-0.0417%18 Aug →
inferno13–5-0.0316%18 Aug →
dust28–130.0119%18 Aug →
cache13–9-0.0329%17 Aug →
ancient13–7-0.0718%17 Aug →
ancient13–7-0.017%17 Aug →
inferno13–90.0611%17 Aug →
nuke13–8-0.0111%16 Aug →
nuke13–60.0623%16 Aug →
inferno13–70.0410%15 Aug →
anubis13–8-0.036%15 Aug →
dust27–13-0.016%15 Aug →
nuke8–13-0.073%15 Aug →
inferno7–13-0.0514%13 Aug →
ancient13–70.0017%13 Aug →
inferno13–2-0.0322%13 Aug →
nuke10–130.0518%13 Aug →
dust215–150.0816%13 Aug →
inferno19–22-0.0213%12 Aug →
anubis13–9-0.0013%12 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 →

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