[Tp:B] Lalala

[Tp:B] Lalala — CS2 Stats

DE76561197960332021[U:1:66293]Steam profile ↗✓ No bans

2,424Tracked matches47%Win rate2023Tracked since
CSDB Rating3.6 LearningSupport
Premier CS Rating11,473Blue band · top ~47.1% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 26 days played since 15 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 11,473 +48 15 Aug19 Sept · 17 days played
11,38113,985peak 13,98515 Aug19 Sept
14,357Peak Premier in tracked matches
26Days played since 2026-08-15

Premier CS Rating

  • 2,512 below peak (13,985)
  • +92 over 30 days · steady
  • Next: Purple band at 15,000 3,527 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GG[Tp:B] LalalaPREMIER11,473 · Blue bandcsdb.gg/stats

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Performance scores

Aim29
Positioning50
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY46513Last 10046%Win rateWLLLWWLWLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −1.8pp headshot accuracy · +27ms 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

  • 23 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 9%
  • Avg reaction 683ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 680ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 666ms

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: SupportUtility contribution stands above the rest of this profile (+1.7 against its own average).

Aim2.9
Utility5.9
Positioning5.0
Opening Duels1.8

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 57% 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

CT openings. Opening success drops from 55% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 652ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim2.9
Positioning5.0
Utility5.9
Mechanics1.3
Opening Duels4.3
Win Impact3.9

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time659ms+10ms
first ⅓ avg 649ms → last ⅓ avg 659ms
Headshot accuracy11.3%−0.2%
first ⅓ avg 11.5% → last ⅓ avg 11.3%

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

0.12Best match rating · 13–2 · vertigo, 19 Sept
30%Best headshot accuracy · 3–13 · nuke, 17 Aug
484msFastest reaction time · 16–14 · ancient, 13 Sept
13–1Biggest win · nuke, 14 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
69In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 62% over 21dust2Weakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
nukeA2113862%-0.01
infernoB2091145%-0.01
dust2C1661038%-0.02
mirageC135838%-0.01
ancientA116555%-0.02
anubisC94544%-0.03
overpassC52340%-0.02
vertigo31233%0.02
office2020%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

11.9%Headshot accuracy
36.8%Accuracy (enemy spotted)
37.6%Spray accuracy
56.0%Counter-strafing
13.4°Preaim
652msReaction time
55.3%T opening success
39.2%CT opening success
0.61Enemies flashed / flash
2.5%Flash assists
11.83HE damage / grenade
11.08Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.4302° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.8616% — below the 15% mark we flag

    Aim Training
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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo13–20.1213%19 Sept
anubis11–13-0.008%19 Sept
anubis7–13-0.007%19 Sept
nuke2–13-0.100%19 Sept
mirage13–110.0616%19 Sept
overpass13–40.0416%18 Sept
inferno4–13-0.018%17 Sept
inferno13–100.0015%17 Sept
mirage6–130.0015%17 Sept
mirage1–11-0.029%17 Sept
inferno7–13-0.018%17 Sept
dust213–16-0.0318%16 Sept
inferno5–13-0.0810%16 Sept
nuke13–60.0111%16 Sept
inferno13–90.049%15 Sept
inferno13–160.0411%15 Sept
ancient9–13-0.1115%14 Sept
ancient11–13-0.0210%14 Sept
ancient13–100.0019%14 Sept
nuke13–10.0612%14 Sept
nuke13–70.0215%14 Sept
inferno3–13-0.0611%14 Sept
dust25–13-0.0319%14 Sept
nuke13–70.069%14 Sept
dust28–13-0.0310%13 Sept
ancient13–90.008%13 Sept
ancient13–50.0614%13 Sept
mirage6–13-0.0315%13 Sept
ancient16–140.006%13 Sept
nuke13–60.0217%13 Sept
nuke6–13-0.062%13 Sept
anubis13–10-0.057%11 Sept
nuke15–150.0311%11 Sept
anubis6–13-0.083%11 Sept
dust213–60.0221%10 Sept
inferno10–130.0012%10 Sept
dust25–13-0.0123%10 Sept
dust27–13-0.0214%10 Sept
nuke13–8-0.0417%10 Sept
nuke13–11-0.0710%10 Sept
mirage8–13-0.019%9 Sept
ancient13–8-0.029%9 Sept
nuke13–10-0.0610%8 Sept
inferno10–10.1214%8 Sept
anubis13–8-0.0218%8 Sept
nuke13–9-0.069%8 Sept
nuke13–30.1010%8 Sept
inferno13–70.0014%7 Sept
vertigo0–6-0.050%7 Sept
ancient8–130.019%7 Sept
dust210–13-0.0420%6 Sept
overpass6–130.037%6 Sept
mirage14–16-0.0510%5 Sept
inferno13–10-0.048%4 Sept
inferno13–8-0.028%4 Sept
dust216–13-0.0126%4 Sept
ancient5–13-0.105%4 Sept
anubis5–13-0.106%4 Sept
mirage3–130.039%4 Sept
dust215–15-0.0220%4 Sept
mirage13–11-0.0217%4 Sept
mirage13–90.0815%4 Sept
anubis8–3-0.030%3 Sept
inferno10–13-0.067%2 Sept
dust213–7-0.0126%2 Sept
dust211–13-0.0216%2 Sept
office4–13-0.0112%29 Aug
vertigo10–13-0.006%29 Aug
nuke16–14-0.0217%29 Aug
dust25–13-0.015%29 Aug
inferno13–70.0013%29 Aug
inferno13–60.014%26 Aug
mirage8–13-0.0920%26 Aug
nuke14–16-0.048%25 Aug
mirage13–5-0.039%25 Aug
overpass2–8-0.0221%25 Aug
dust213–5-0.024%25 Aug
anubis13–40.0219%25 Aug
mirage13–5-0.0118%25 Aug
nuke13–80.007%24 Aug
inferno11–13-0.029%24 Aug
dust213–6-0.0417%24 Aug
ancient6–13-0.068%24 Aug
overpass13–5-0.0814%24 Aug
nuke12–120.009%24 Aug
inferno5–13-0.017%24 Aug
inferno13–6-0.048%20 Aug
nuke9–13-0.0712%20 Aug
dust24–13-0.0218%20 Aug
nuke11–13-0.045%18 Aug
dust213–9-0.0214%18 Aug
ancient13–11-0.018%18 Aug
inferno11–13-0.0412%17 Aug
nuke3–13-0.0630%17 Aug
overpass8–13-0.057%16 Aug
nuke13–60.0721%16 Aug
anubis10–13-0.029%15 Aug
office5–13-0.044%15 Aug
inferno6–13-0.018%15 Aug
mirage14–16-0.0311%15 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 →