Basteee

Basteee — CS2 Stats

76561199645105847[U:1:1684840119]Steam profile ↗✓ No bans

436Tracked matches63%Win rate2024Tracked since
CSDB Rating6.6 SolidPositional Player
FaceitLevel 7 · 1,183 ELOTop 42.3% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,183 → 1,183
+28Tracked matches · now 436
+16.7ppWin rate · 46.7% → 63.3%

Rating over time

Premier CS Rating: 16,430 +22 20 Mar – 5 Jul · 15 days played
14,87517,025peak 17,02520 Mar5 Jul
17,025Peak Premier in tracked matches
1,183Highest Faceit ELO seen on CSDB
55Days played since 2026-03-20

Faceit ELO

  • At peak — 1,183
  • Next: Level 6 at 1,201 — 18 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-11
  • Level 4 first seen 2026-09-11

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGBasteeeFACEITLevel 7 · 1,183 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,183csdb.gg/stats

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Performance scores

Aim88
Positioning66
Utility52

0–100 skill scores via Leetify.

Recent form

HOT51–48–1Last 10051%Win rateWWWWLWWWWL

Last 10 vs previous 10: +40pp win rate · +0.05 avg rating · −6.5pp headshot accuracy · −8ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 613ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 586ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 590ms

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 (+1.8 against its own average).

Aim8.8
Utility5.2
Positioning6.6
Opening Duels3.6
Clutch3.6

Sharp aimerStrong T-side opener

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

sh1ro

Plays most like sh1ro 94% playstyle similarity

Most alike: opening-duel success, positioning 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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 61% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 595ms 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

Aim8.8
Positioning6.6
Utility5.2
Mechanics8.1
Opening Duels4.5
Win Impact9.4

Composite 6.6/10 (Solid), 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-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time610ms−112ms
first ⅓ avg 722ms → last ⅓ avg 610ms
Headshot accuracy23.3%−1.9%
first ⅓ avg 25.3% → last ⅓ avg 23.3%

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

0.17Best match rating · 9–7 · nuke, 1 Apr →
64%Best headshot accuracy · 13–1 · ancient, 15 Sept →
414msFastest reaction time · 10–13 · anubis, 15 Sept →
13–0Biggest win · mirage, 31 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
10–7In matches decided by ≤2 rounds
17Overtime games

Map breakdown

ancientBest map · 72% over 18infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC3414–2041%0.00
ancientS1813–572%-0.00
dust2A169–756%-0.01
anubisA149–564%0.01
nukeC73–443%-0.02
infernoD62–433%-0.01
cache—31–233%-0.03
overpass—10–10%-0.02
vertigo—10–10%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

411Matches
51%Win rate
1.13Avg K/D
80.7ADR
51%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage12146%1.1016.8
Dust28456%1.1617.5
Ancient7056%1.1616.3
Anubis6050%1.1417.9
Nuke3250%1.2218.7
Inferno2741%0.9815.9
Overpass967%1.4116.2
Cache743%1.1316.1

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.

22.6%Headshot accuracy
40.2%Accuracy (enemy spotted)
41.1%Spray accuracy
86.3%Counter-strafing
8.8°Preaim
595msReaction time
60.9%T opening success
35.5%CT opening success
0.55Enemies flashed / flash
9.6%Flash assists
8.87HE damage / grenade
8.07Flashes / 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 35.4524% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.0118%30 Sept →
ancient13–70.0215%30 Sept →
ancient16–140.0327%30 Sept →
mirage13–60.0916%29 Sept →
nuke10–130.0524%29 Sept →
inferno13–9-0.0120%29 Sept →
anubis13–60.0529%29 Sept →
anubis16–130.0126%28 Sept →
anubis16–140.0216%25 Sept →
mirage7–13-0.0415%25 Sept →
inferno13–4-0.039%25 Sept →
anubis14–16-0.0118%18 Sept →
ancient1–13-0.108%18 Sept →
cache14–16-0.0331%15 Sept →
anubis10–13-0.0427%15 Sept →
ancient13–10.0464%15 Sept →
mirage13–60.0338%12 Sept →
mirage8–13-0.0222%9 Sept →
anubis13–2-0.0538%9 Sept →
ancient4–13-0.0716%8 Sept →
ancient13–10-0.0113%7 Sept →
anubis13–90.0114%7 Sept →
inferno12–160.0229%6 Sept →
mirage13–70.0624%6 Sept →
anubis13–11-0.0122%31 Aug →
ancient13–9-0.0130%31 Aug →
mirage16–120.0529%26 Aug →
ancient13–80.0318%2 Aug →
inferno7–13-0.0119%1 Aug →
mirage11–13-0.0412%29 Jul →
ancient13–6-0.0140%29 Jul →
mirage19–22-0.0117%27 Jul →
mirage8–13-0.0127%27 Jul →
anubis10–130.0122%27 Jul →
dust213–11-0.0341%27 Jul →
mirage11–13-0.0019%27 Jul →
inferno5–130.0524%27 Jul →
mirage6–13-0.089%20 Jul →
mirage13–100.0932%18 Jul →
anubis13–80.0323%13 Jul →
mirage7–13-0.0325%12 Jul →
ancient16–140.0417%12 Jul →
mirage10–130.0022%12 Jul →
anubis10–13-0.0220%12 Jul →
dust213–90.0320%12 Jul →
nuke16–190.0216%12 Jul →
mirage4–13-0.1029%12 Jul →
mirage4–130.0334%12 Jul →
dust215–15-0.0744%11 Jul →
mirage13–3-0.0532%11 Jul →
dust22–13-0.0714%10 Jul →
mirage8–3-0.108%10 Jul →
mirage13–90.0932%10 Jul →
mirage13–16-0.0130%9 Jul →
mirage10–13-0.1022%5 Jul →
anubis13–100.0210%5 Jul →
mirage10–130.0228%5 Jul →
ancient10–130.0014%5 Jul →
dust26–13-0.0627%5 Jul →
inferno9–13-0.0722%2 Jul →
mirage13–8-0.0630%2 Jul →
nuke16–13-0.0615%2 Jul →
dust216–14-0.0026%30 Jun →
overpass6–13-0.0217%21 Jun →
ancient9–13-0.0114%19 Jun →
mirage13–00.0931%31 May →
ancient13–7-0.0211%31 May →
dust213–50.0424%19 May →
dust214–16-0.0326%14 May →
ancient13–80.1219%12 May →
cache8–13-0.0926%12 May →
vertigo6–13-0.0025%2 May →
cache13–00.0323%2 May →
anubis16–140.0428%26 Apr →
mirage3–13-0.0131%25 Apr →
nuke13–50.018%22 Apr →
dust25–13-0.0532%22 Apr →
dust213–11-0.0422%22 Apr →
mirage7–130.0218%16 Apr →
ancient13–2-0.019%12 Apr →
ancient13–7-0.0021%11 Apr →
mirage13–70.0423%9 Apr →
dust213–50.1023%9 Apr →
mirage11–130.0220%8 Apr →
anubis11–130.0412%8 Apr →
mirage13–110.0218%4 Apr →
mirage2–130.0426%3 Apr →
ancient3–13-0.0644%2 Apr →
nuke9–70.1731%1 Apr →
dust213–40.1029%31 Mar →
mirage12–16-0.0331%29 Mar →
mirage7–13-0.0523%28 Mar →
dust28–13-0.0543%27 Mar →
nuke0–5-0.1943%25 Mar →
nuke2–7-0.1125%24 Mar →
dust213–6-0.0415%23 Mar →
mirage13–30.0622%21 Mar →
dust210–13-0.0234%21 Mar →
dust213–4-0.0218%20 Mar →
mirage13–20.0341%20 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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