chaotic good barbarian

chaotic good barbarian — CS2 Stats

76561198047654871[U:1:87389143]Steam profile ↗✓ No bans

3,876Tracked matches63%Win rate2020Tracked since
CSDB Rating4.9 DevelopingSupport
FaceitLevel 9 · 1,478 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGchaotic good barbarianFACEITLevel 9 · 1,478 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim34
Positioning63
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY57–43Last 10057%Win rateLWLWWLWLWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −3.2pp headshot accuracy · +2ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 605ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 602ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 601ms

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 (+1.5 against its own average).

Aim3.4
Utility6.6
Positioning6.3
Opening Duels4.1
Clutch3.2

Effective flashesLimited 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

Twistzz

Plays most like Twistzz 53% 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. 602ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.4
Positioning6.3
Utility6.6
Mechanics4.2
Opening Duels5.8
Win Impact9.4

Composite 4.9/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time599ms−6ms
first ⅓ avg 604ms → last ⅓ avg 599ms
Headshot accuracy19.9%+1.7%
first ⅓ avg 18.1% → last ⅓ avg 19.9%

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

0.10Best match rating · 13–7 · anubis, 26 Sept →
47%Best headshot accuracy · 13–6 · inferno, 12 Sept →
367msFastest reaction time · 0–13 · inferno, 3 Oct →
13–1Biggest win · dust2, 16 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–11In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 69% over 13anubisWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A3421–1362%-0.01
infernoB2211–1150%-0.00
ancientS139–469%0.01
cacheA95–456%-0.00
anubisC94–544%-0.01
mirageB84–450%-0.02
nukeA53–260%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,222Matches
50%Win rate
0.93Avg K/D
81.1ADR
52%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust236254%0.9114.8
Inferno23651%0.9515.1
Ancient20254%0.9715.6
Anubis17345%0.8614.3
Mirage13352%0.8514.2
Nuke6850%0.8814.6
Cache3543%0.8714.0
Overpass1450%0.8913.7

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.

20.6%Headshot accuracy
25.3%Accuracy (enemy spotted)
24.4%Spray accuracy
68.9%Counter-strafing
11.5°Preaim
602msReaction time
57.0%T opening success
49.2%CT opening success
0.74Enemies flashed / flash
8.1%Flash assists
13.37HE damage / grenade
4.73Flashes / match

Recommended for you

Spend your practice time on Anubis

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–13-0.0022%28 Oct →
dust213–9-0.0329%28 Oct →
inferno8–13-0.0635%28 Oct →
inferno13–40.0412%28 Oct →
mirage13–7-0.0312%28 Oct →
mirage4–13-0.080%27 Oct →
mirage13–80.0111%27 Oct →
nuke6–13-0.0411%25 Oct →
ancient13–10-0.0021%25 Oct →
dust213–90.0127%25 Oct →
cache13–110.0120%25 Oct →
anubis13–100.0224%24 Oct →
cache13–160.0118%24 Oct →
dust213–8-0.0219%24 Oct →
mirage11–130.0224%23 Oct →
dust210–13-0.0621%23 Oct →
ancient13–110.0420%23 Oct →
inferno16–120.0222%23 Oct →
dust211–13-0.0230%18 Oct →
inferno4–13-0.0613%18 Oct →
dust213–90.0726%18 Oct →
ancient13–10-0.0321%17 Oct →
dust213–1-0.0135%16 Oct →
inferno7–13-0.0321%16 Oct →
nuke13–40.019%15 Oct →
inferno13–110.0717%14 Oct →
dust213–2-0.0925%14 Oct →
mirage13–90.0021%12 Oct →
dust213–50.0529%11 Oct →
anubis4–130.0018%11 Oct →
cache13–40.0114%11 Oct →
cache16–14-0.0620%11 Oct →
anubis3–13-0.0911%11 Oct →
dust213–90.0019%10 Oct →
dust213–50.0415%10 Oct →
dust210–130.0019%9 Oct →
cache9–13-0.0314%9 Oct →
inferno10–13-0.0324%9 Oct →
cache13–9-0.0311%8 Oct →
inferno13–110.0114%8 Oct →
anubis11–13-0.0320%8 Oct →
dust211–13-0.0213%8 Oct →
dust213–9-0.037%7 Oct →
cache9–130.0325%7 Oct →
ancient13–70.0326%7 Oct →
inferno16–12-0.0215%6 Oct →
mirage9–130.0032%6 Oct →
dust213–100.0215%6 Oct →
inferno8–13-0.0329%5 Oct →
mirage16–13-0.0317%5 Oct →
dust213–11-0.0823%4 Oct →
dust217–19-0.0417%4 Oct →
anubis13–6-0.055%4 Oct →
dust213–60.0221%4 Oct →
inferno0–13-0.029%3 Oct →
inferno13–110.0122%3 Oct →
inferno13–80.0324%2 Oct →
dust213–30.0616%2 Oct →
dust214–16-0.0027%1 Oct →
ancient6–13-0.0719%1 Oct →
inferno16–120.0316%30 Sept →
inferno11–130.0118%29 Sept →
ancient5–13-0.0323%29 Sept →
dust27–13-0.0418%28 Sept →
dust213–8-0.0233%28 Sept →
anubis13–70.0616%27 Sept →
inferno8–130.0116%27 Sept →
ancient13–30.0715%27 Sept →
dust213–100.0529%27 Sept →
dust29–13-0.1011%26 Sept →
ancient13–9-0.0311%26 Sept →
anubis13–70.1018%26 Sept →
dust210–130.0022%25 Sept →
dust216–120.0416%25 Sept →
ancient13–110.0515%25 Sept →
inferno11–13-0.0117%24 Sept →
dust213–7-0.0723%24 Sept →
ancient13–100.0927%22 Sept →
anubis7–13-0.1018%21 Sept →
dust211–13-0.0211%21 Sept →
mirage11–13-0.0514%20 Sept →
dust213–8-0.0116%20 Sept →
dust26–13-0.0721%17 Sept →
inferno13–6-0.0422%16 Sept →
dust213–10-0.0421%12 Sept →
inferno13–60.0047%12 Sept →
ancient13–16-0.0425%12 Sept →
ancient13–30.0921%11 Sept →
nuke13–10-0.025%10 Sept →
anubis6–13-0.0015%8 Sept →
cache13–70.079%6 Sept →
dust29–13-0.0221%4 Sept →
ancient5–130.0217%31 Aug →
nuke13–90.0324%30 Aug →
inferno13–80.0115%28 Aug →
dust213–3-0.0126%24 Aug →
inferno10–13-0.0211%24 Aug →
inferno1–13-0.0121%23 Aug →
dust26–13-0.036%20 Aug →
cache11–13-0.0210%16 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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