Baerg

Baerg — CS2 Stats

SE76561198097274319[U:1:137008591]Steam profile ↗✓ No bans

1,739Tracked matches32%Win rate2020Tracked since
CSDB Rating5.4 DevelopingSupport
Premier CS Rating16,409Purple band · top ~22.8% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 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: 16,409 -3,284 30 Jul – 10 Oct · 28 days played
16,40919,999peak 19,99930 Jul10 Oct
19,999Peak Premier in tracked matches
40Days played since 2026-05-27

Premier CS Rating

  • 3,590 below peak (19,999)
  • -411 over 30 days · declining
  • Next: Pink band at 20,000 — 3,591 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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

Share this profile

CSDB.GGBaergFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER16,409 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning56
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY40–56–4Last 10040%Win rateLLLWLWLWLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −3.1pp headshot accuracy · −44ms reaction

Win rate up 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 541ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 532ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 554ms

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 (+2.6 against its own average).

Aim6.7
Utility6.2
Positioning5.6
Opening Duels2.6
Clutch0.0

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

ZywOo

Plays most like ZywOo 86% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 584ms 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

Aim6.7
Positioning5.6
Utility6.2
Mechanics6.0
Opening Duels4.1
Win Impact0.0

Composite 5.4/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time574ms−53ms
first ⅓ avg 627ms → last ⅓ avg 574ms
Headshot accuracy16.0%−2.9%
first ⅓ avg 18.9% → last ⅓ avg 16.0%

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

0.22Best match rating · 13–4 · inferno, 7 Aug →
33%Best headshot accuracy · 13–3 · nuke, 8 Aug →
430msFastest reaction time · 7–13 · ancient, 27 Aug →
13–1Biggest win · dust2, 5 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L3Current streak
2–14In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 60% over 10dust2Weakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
infernoC2310–1343%0.01
nukeA2011–955%0.00
dust2D152–1313%-0.02
anubisA116–555%-0.00
mirageD102–820%0.00
ancientA106–460%0.00
cacheD72–529%-0.02
overpass—20–20%-0.10
poseidon—10–10%-0.04
vertigo—11–0100%0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

217Matches
53%Win rate
1.16Avg K/D
82.7ADR
40%Headshot %

Clutches & streaks

11%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient1782%1.2718.1
Nuke1242%1.1617.0
Inferno1155%1.0017.0
Anubis933%1.1318.0
Overpass540%0.8913.8
Dust2250%1.6520.0
Vertigo10%0.9416.0

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.

15.8%Headshot accuracy
36.4%Accuracy (enemy spotted)
40.1%Spray accuracy
76.9%Counter-strafing
10.8°Preaim
584msReaction time
53.7%T opening success
39.4%CT opening success
0.57Enemies flashed / flash
4.7%Flash assists
8.01HE damage / grenade
15.76Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.3757% — below the 40% mark we flag

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.

13% win rate across 15 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
mirage11–130.1215%10 Oct →
inferno6–130.0615%10 Oct →
cache14–16-0.048%30 Sept →
nuke13–6-0.0213%30 Sept →
dust26–13-0.065%30 Sept →
anubis13–10-0.019%28 Sept →
anubis13–160.0313%23 Sept →
inferno13–70.0615%21 Sept →
nuke10–13-0.0315%21 Sept →
anubis13–50.0119%17 Sept →
dust27–13-0.0429%17 Sept →
inferno14–16-0.078%17 Sept →
anubis13–9-0.0014%16 Sept →
dust26–13-0.0611%16 Sept →
inferno9–13-0.0111%16 Sept →
dust215–15-0.0318%16 Sept →
nuke16–130.0718%13 Sept →
cache15–15-0.0422%13 Sept →
nuke10–13-0.0113%8 Sept →
mirage2–13-0.0413%8 Sept →
cache9–130.0217%7 Sept →
nuke4–13-0.0411%7 Sept →
ancient13–9-0.0318%7 Sept →
anubis9–13-0.0413%3 Sept →
dust213–10-0.0220%31 Aug →
nuke14–160.0724%31 Aug →
mirage11–130.0319%31 Aug →
nuke13–7-0.0617%28 Aug →
dust28–13-0.0428%28 Aug →
dust211–13-0.0421%27 Aug →
anubis9–13-0.079%27 Aug →
mirage16–120.0230%27 Aug →
ancient7–13-0.1016%27 Aug →
dust211–13-0.0014%26 Aug →
anubis11–13-0.0012%26 Aug →
inferno13–10-0.0326%23 Aug →
cache13–8-0.0512%23 Aug →
inferno13–7-0.0227%23 Aug →
ancient7–130.0226%23 Aug →
nuke13–5-0.053%22 Aug →
ancient13–30.0418%22 Aug →
anubis13–50.0219%22 Aug →
inferno13–160.0226%19 Aug →
anubis13–8-0.0022%14 Aug →
ancient13–110.0219%14 Aug →
dust27–130.0619%14 Aug →
nuke13–30.0411%11 Aug →
ancient16–130.006%11 Aug →
cache5–13-0.0420%11 Aug →
cache10–130.0115%9 Aug →
nuke13–70.0719%9 Aug →
inferno15–15-0.0326%8 Aug →
nuke13–3-0.0333%8 Aug →
dust211–13-0.069%7 Aug →
mirage11–13-0.0417%7 Aug →
inferno13–40.2222%7 Aug →
dust29–130.0127%7 Aug →
mirage14–16-0.0018%7 Aug →
nuke10–13-0.0416%7 Aug →
anubis16–120.0419%5 Aug →
mirage5–13-0.0313%5 Aug →
dust213–10.0518%5 Aug →
nuke11–130.0122%5 Aug →
overpass2–9-0.1614%4 Aug →
poseidon8–8-0.0424%4 Aug →
inferno10–130.0422%1 Aug →
mirage6–13-0.0521%31 Jul →
nuke8–1-0.0315%31 Jul →
ancient11–130.0421%31 Jul →
inferno13–100.0615%30 Jul →
mirage13–40.0433%29 Jul →
mirage4–13-0.0324%26 Jul →
ancient13–70.0414%23 Jul →
nuke6–130.0517%23 Jul →
inferno13–7-0.0116%23 Jul →
inferno13–50.0522%17 Jul →
cache13–7-0.0029%17 Jul →
dust24–13-0.0324%17 Jul →
nuke13–160.0228%15 Jul →
inferno13–70.0123%12 Jul →
ancient13–10-0.0126%12 Jul →
inferno12–16-0.0030%12 Jul →
inferno13–100.0314%10 Jul →
nuke13–90.0514%10 Jul →
inferno8–130.0415%10 Jul →
inferno10–13-0.0320%10 Jul →
inferno7–13-0.0812%6 Jul →
inferno6–13-0.0319%6 Jul →
vertigo9–20.1014%6 Jul →
nuke5–9-0.0321%6 Jul →
inferno5–9-0.0713%6 Jul →
anubis9–130.017%5 Jul →
nuke13–8-0.0421%5 Jul →
dust23–13-0.0625%5 Jul →
overpass3–13-0.0414%29 Jun →
dust210–130.0115%29 Jun →
ancient8–130.0319%29 Jun →
inferno11–130.0315%25 Jun →
inferno13–11-0.0614%27 May →
nuke13–90.0514%27 May →

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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