巴林特

巴林特 — CS2 Stats

US76561199138645120[U:1:1178379392]Steam profile ↗✓ No bans

4,073Tracked matches68%Win rate2021Tracked since
5,265Hours in CS35Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating22,134Top 50% of 213,399 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)
CSDB Leaderboard#54737 of 260007 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 22,134 +2,981 6 Sept – 4 Nov · 21 days played
18,76322,368peak 22,3686 Sept4 Nov
23,119Peak Premier in tracked matches
24Days played since 2026-09-06

Premier CS Rating

  • 234 below peak (22,368)
  • Next: Red band at 25,000 — 2,866 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-19
  • Purple band first seen 2026-09-10

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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate46.5%44.8%45.7%meets
Shot accuracy8.9%12.4%12.7%3.8% short
Kill/death ratio0.851.031.050.20 short
Match win rate44.5%45.2%45.7%1.1% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG巴林特FACEITLevel 6STANDINGTop 54.0% of rankedPREMIER22,134 · Pink 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

Aim49
Positioning73
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateTLWWLLLWWW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +2.7pp headshot accuracy · +10ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 595ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 597ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 592ms

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 (+1.1 against its own average).

Aim4.9
Utility6.0
Positioning7.3
Opening Duels6.0
Clutch5.6

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

device

Plays most like device 69% 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. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 598ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim4.9
Positioning7.3
Utility6.0
Mechanics3.5
Opening Duels7.4
Win Impact10.0

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time593ms−16ms
first ⅓ avg 609ms → last ⅓ avg 593ms
Headshot accuracy17.8%−5.1%
first ⅓ avg 22.8% → last ⅓ avg 17.8%

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 · 10–13 · inferno, 6 Sept →
100%Best headshot accuracy · 3–0 · inferno, 23 Oct →
375msFastest reaction time · 12–12 · office, 30 Oct →
13–1Biggest win · cache, 1 Nov →

Across the last 100 tracked matches.

Highlights

10Longest win streak
6–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 64% over 11dust2Weakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
infernoC2712–1544%0.00
dust2C156–940%-0.01
cacheB126–650%0.01
ancientB115–645%-0.02
nukeA117–464%-0.02
mirageA116–555%-0.01
anubisC52–340%-0.02
office—31–233%-0.00
train—22–0100%0.00
vertigo—20–20%-0.02
eldorado—11–0100%-0.16

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

98,587Lifetime kills
0.85K/D
6,138Matches
44.5%Match win rate
46.5%Headshot % · Top 50% of Level 6 players
8.9%Shot accuracy
11,954MVPs
2,294Hours (in match)
5,108Bombs planted
1,144Bombs defused

Most-used weapons

AK-4727,838
AWP7,755
MAC-103,052
MP92,850
FAMAS2,767

Lifetime map wins

31,619inferno
4,261dust2
2,723office
2,504nuke
1,664vertigo
1,219train
239cbble
20lake

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

Faceit stats

Combat

139Matches
54%Win rate
0.99Avg K/D
82.5ADR
42%Headshot %

Clutches & streaks

48%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno1867%0.9715.3
Dust21250%0.8314.3
Anubis1164%1.0716.8
Ancient944%1.2014.7
Mirage475%1.0517.8
Nuke475%1.4720.3

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.

17.5%Headshot accuracy
32.8%Accuracy (enemy spotted)
36.2%Spray accuracy
65.6%Counter-strafing
11.2°Preaim
598msReaction time
61.7%T opening success
57.8%CT opening success
0.64Enemies flashed / flash
5.9%Flash assists
10.57HE damage / grenade
7.47Flashes / match

Recommended for you

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.

40% 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
dust215–15-0.0413%4 Nov →
ancient11–130.0319%4 Nov →
nuke13–100.0012%4 Nov →
inferno13–40.0115%4 Nov →
mirage10–13-0.0412%4 Nov →
dust29–13-0.0510%3 Nov →
inferno7–13-0.0334%3 Nov →
nuke13–5-0.0432%3 Nov →
dust213–9-0.0412%3 Nov →
inferno13–40.0326%3 Nov →
mirage13–50.0119%3 Nov →
dust213–6-0.0120%3 Nov →
anubis10–130.0114%2 Nov →
inferno9–13-0.0810%2 Nov →
cache13–80.0418%2 Nov →
anubis7–13-0.079%2 Nov →
anubis13–7-0.0320%1 Nov →
dust213–40.0819%1 Nov →
inferno13–10-0.0419%1 Nov →
ancient13–70.0111%1 Nov →
cache13–10.0210%1 Nov →
nuke13–90.0222%1 Nov →
ancient13–5-0.0129%31 Oct →
nuke13–50.0515%31 Oct →
mirage13–11-0.0710%31 Oct →
nuke13–5-0.0121%31 Oct →
mirage5–130.0426%31 Oct →
mirage13–100.0518%31 Oct →
dust24–13-0.0215%31 Oct →
office12–120.0224%30 Oct →
dust212–120.0727%29 Oct →
office13–70.0110%29 Oct →
inferno13–80.0217%25 Oct →
mirage10–13-0.0612%24 Oct →
mirage13–11-0.0518%24 Oct →
inferno13–60.0120%24 Oct →
ancient9–13-0.0813%24 Oct →
inferno13–16-0.0416%24 Oct →
ancient5–13-0.0624%24 Oct →
cache10–13-0.0427%23 Oct →
nuke13–110.0324%23 Oct →
ancient13–6-0.0216%23 Oct →
inferno4–13-0.0418%23 Oct →
ancient13–90.0611%23 Oct →
inferno13–6-0.064%23 Oct →
nuke8–13-0.0623%23 Oct →
mirage9–13-0.0415%23 Oct →
inferno3–00.09100%23 Oct →
inferno5–90.0736%23 Oct →
cache13–20.0822%21 Oct →
ancient13–5-0.0212%21 Oct →
ancient6–13-0.1017%21 Oct →
anubis6–13-0.076%21 Oct →
inferno1–13-0.0519%21 Oct →
inferno6–13-0.0415%21 Oct →
cache13–100.0714%21 Oct →
cache13–70.0216%21 Oct →
ancient6–13-0.0015%20 Oct →
cache9–13-0.0114%20 Oct →
mirage13–8-0.0312%20 Oct →
nuke13–80.0121%19 Oct →
dust215–15-0.0420%19 Oct →
inferno13–90.0122%19 Oct →
cache13–110.0215%19 Oct →
inferno16–140.0515%18 Oct →
eldorado9–6-0.160%18 Oct →
dust23–130.0012%17 Oct →
inferno13–5-0.0621%17 Oct →
dust215–15-0.0121%17 Oct →
ancient10–13-0.0320%17 Oct →
cache7–13-0.0524%17 Oct →
inferno8–80.0730%17 Oct →
cache12–12-0.0225%17 Oct →
cache4–13-0.0214%14 Oct →
cache6–13-0.0316%14 Oct →
inferno7–9-0.0528%12 Oct →
inferno7–9-0.0248%12 Oct →
train13–1-0.0135%12 Oct →
train13–20.0225%12 Oct →
inferno6–9-0.0518%26 Sept →
nuke2–9-0.0621%26 Sept →
vertigo9–13-0.0426%26 Sept →
mirage8–130.0325%26 Sept →
vertigo8–13-0.0118%24 Sept →
inferno13–9-0.0423%13 Sept →
dust213–3-0.0425%13 Sept →
inferno10–50.0616%13 Sept →
inferno8–130.0619%11 Sept →
dust23–13-0.0425%11 Sept →
mirage16–14-0.0114%9 Sept →
nuke5–13-0.0817%9 Sept →
dust26–13-0.0628%9 Sept →
dust213–10-0.0518%9 Sept →
office9–13-0.0312%8 Sept →
dust213–100.0423%6 Sept →
anubis13–80.0626%6 Sept →
inferno11–130.0134%6 Sept →
nuke6–13-0.0326%6 Sept →
inferno10–130.1014%6 Sept →
inferno12–160.0220%6 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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