BAI CHA черепаха

BAI CHA черепаха — CS2 Stats

76561199665829703[U:1:1705563975]Steam profile ↗✓ No bans

1,596Tracked matches53%Win rate2024Tracked since
CSDB Rating6.8 SolidPositional Player
Premier CS Rating16,025Purple band · top ~24.3% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (4 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: 16,025 -8,016 6 Aug – 4 Oct · 34 days played
16,02524,041peak 24,0416 Aug4 Oct
24,313Peak Premier in tracked matches
33Days played since 2026-08-06

Premier CS Rating

  • 8,016 below peak (24,041)
  • -463 over 30 days · declining
  • Next: Pink band at 20,000 — 3,975 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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

Share this profile

CSDB.GGBAI CHA черепахаPREMIER16,025 · Purple bandcsdb.gg/stats

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Performance scores

Aim76
Positioning66
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY39–56–5Last 10039%Win rateWWLLLLLWWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −1.0pp headshot accuracy · +71ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 667ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 672ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • 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 Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim7.6
Utility5.3
Positioning6.6
Opening Duels3.1

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 62% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 634ms 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

Aim7.6
Positioning6.6
Utility5.3
Mechanics8.0
Opening Duels5.6
Win Impact6.1

Composite 6.8/10 (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+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time632ms−34ms
first ⅓ avg 666ms → last ⅓ avg 632ms
Headshot accuracy19.4%−5.1%
first ⅓ avg 24.5% → last ⅓ avg 19.4%

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

0.10Best match rating · 13–1 · anubis, 21 Sept →
67%Best headshot accuracy · 13–2 · train, 8 Aug →
438msFastest reaction time · 9–13 · inferno, 4 Sept →
13–1Biggest win · cache, 24 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
8–15In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 71% over 7cacheWeakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
dust2C2710–1737%-0.04
cacheD174–1324%-0.02
mirageD164–1225%-0.02
ancientD103–730%-0.02
nukeA85–363%-0.04
infernoB84–450%-0.01
anubisS75–271%0.00
train—42–250%0.01
office—21–150%-0.04
poseidon—11–0100%0.03

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.5%Headshot accuracy
36.4%Accuracy (enemy spotted)
36.5%Spray accuracy
86.2%Counter-strafing
8.9°Preaim
634msReaction time
62.4%T opening success
42.2%CT opening success
0.57Enemies flashed / flash
6.7%Flash assists
11.19HE damage / grenade
6.88Flashes / match

Recommended for you

Spend your practice time on Cache

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

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke16–14-0.0017%4 Oct →
ancient13–60.0111%4 Oct →
inferno11–13-0.0523%4 Oct →
ancient8–13-0.0611%4 Oct →
anubis7–13-0.0319%4 Oct →
mirage13–160.0332%4 Oct →
dust29–13-0.0219%3 Oct →
cache13–80.0114%3 Oct →
dust24–00.0936%3 Oct →
mirage9–13-0.0310%3 Oct →
mirage10–13-0.0814%2 Oct →
inferno11–130.0025%2 Oct →
nuke9–13-0.0619%2 Oct →
dust28–13-0.0717%2 Oct →
inferno13–10-0.0119%27 Sept →
mirage8–13-0.0222%25 Sept →
dust23–5-0.1117%24 Sept →
cache9–13-0.0327%24 Sept →
cache13–10.0523%24 Sept →
mirage13–100.0819%24 Sept →
ancient11–130.029%23 Sept →
nuke13–8-0.0740%23 Sept →
inferno13–6-0.0419%23 Sept →
mirage4–13-0.0911%23 Sept →
dust213–9-0.0323%23 Sept →
dust213–30.0215%22 Sept →
inferno13–80.0215%21 Sept →
nuke13–3-0.0219%21 Sept →
inferno13–30.0730%21 Sept →
anubis13–10.1019%21 Sept →
nuke13–10-0.0717%21 Sept →
mirage11–13-0.0215%21 Sept →
anubis13–7-0.0213%20 Sept →
cache9–13-0.0217%20 Sept →
mirage6–13-0.0518%16 Sept →
mirage10–130.0213%16 Sept →
dust22–13-0.0815%15 Sept →
cache12–120.0517%15 Sept →
mirage13–70.0323%15 Sept →
dust211–13-0.0116%15 Sept →
dust26–4-0.090%15 Sept →
mirage11–13-0.0329%15 Sept →
mirage13–110.0220%14 Sept →
anubis11–130.0012%14 Sept →
ancient13–10-0.0226%11 Sept →
dust211–40.0128%10 Sept →
cache12–12-0.0726%10 Sept →
dust213–7-0.0111%9 Sept →
dust211–13-0.0520%9 Sept →
mirage15–150.0016%6 Sept →
anubis13–90.0512%6 Sept →
dust25–13-0.1019%4 Sept →
ancient11–130.0223%4 Sept →
dust213–11-0.0319%4 Sept →
dust214–16-0.0119%4 Sept →
inferno9–13-0.0333%4 Sept →
dust213–70.015%4 Sept →
inferno11–13-0.0121%4 Sept →
dust212–12-0.0722%31 Aug →
dust28–13-0.0123%29 Aug →
dust211–13-0.098%26 Aug →
cache8–13-0.0614%25 Aug →
dust27–13-0.0523%25 Aug →
cache7–13-0.0526%21 Aug →
dust26–13-0.0614%20 Aug →
anubis13–8-0.0422%20 Aug →
cache8–13-0.0212%20 Aug →
ancient9–130.0114%18 Aug →
ancient2–13-0.0621%14 Aug →
cache11–130.0224%14 Aug →
office4–13-0.0516%14 Aug →
dust23–13-0.1118%14 Aug →
dust213–9-0.0216%14 Aug →
dust27–13-0.0423%12 Aug →
nuke11–13-0.0330%12 Aug →
mirage12–16-0.0625%11 Aug →
ancient4–130.0139%10 Aug →
cache13–90.0725%10 Aug →
ancient7–13-0.119%9 Aug →
nuke16–14-0.0417%9 Aug →
cache11–13-0.0911%9 Aug →
mirage7–13-0.0126%9 Aug →
cache8–13-0.0124%9 Aug →
anubis13–7-0.0413%9 Aug →
train9–13-0.0122%8 Aug →
train13–20.0467%8 Aug →
dust210–130.0114%8 Aug →
ancient16–14-0.0314%8 Aug →
poseidon9–70.0313%8 Aug →
office13–10-0.0321%8 Aug →
cache13–6-0.0239%8 Aug →
train12–12-0.0115%8 Aug →
train13–10.0020%8 Aug →
dust22–13-0.1133%8 Aug →
nuke9–13-0.0129%7 Aug →
cache1–6-0.0533%7 Aug →
dust29–13-0.0533%7 Aug →
cache6–13-0.0829%6 Aug →
mirage13–9-0.0552%6 Aug →
cache2–13-0.0426%6 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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