serlabot

serlabot — CS2 Stats

PS76561198833731705[U:1:873465977]Steam profile ↗✓ No bans

1,482Tracked matches10%Win rate2021Tracked since
CSDB Rating2.8 LearningPositional Player
Premier CS Rating6,350Light Blue band · top ~72.3% of ranked players (population est.)
WingmanSilver II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (2 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: 6,350 -8,188 26 Aug – 14 Oct · 18 days played
6,35014,538peak 14,53826 Aug14 Oct
14,660Peak Premier in tracked matches
26Days played since 2026-08-26

Premier CS Rating

  • 8,188 below peak (14,538)
  • -4,113 over 30 days · declining
  • Next: Blue band at 10,000 — 3,650 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-04
  • Light Blue band first seen 2026-09-04

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

Share this profile

CSDB.GGserlabotPREMIER6,350 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning42
Utility14

0–100 skill scores via Leetify.

Recent form

COLD20–77–3Last 10020%Win rateLWLLLLLLLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +2.5pp headshot accuracy · +10ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 648ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 667ms

Last 20

  • 2–18 · 10% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 662ms

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).

Aim4.6
Utility1.4
Positioning4.2
Opening Duels2.1

Limited 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

s1mple

Plays most like s1mple 89% 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

Areas to improve

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

Reaction time. 681ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% 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

Aim4.6
Positioning4.2
Utility1.4
Mechanics1.7
Opening Duels4.3
Win Impact0.0

Composite 2.8/10 (Learning), 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-0.03+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time684ms+17ms
first ⅓ avg 667ms → last ⅓ avg 684ms
Headshot accuracy14.0%−1.4%
first ⅓ avg 15.5% → last ⅓ avg 14.0%

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

0.29Best match rating · 9–3 · nuke, 10 Sept →
36%Best headshot accuracy · 3–13 · anubis, 17 Sept →
438msFastest reaction time · 3–13 · anubis, 17 Sept →
13–1Biggest win · office, 27 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
2–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 38% over 8anubisWeakest map · 0% over 13
MapGradePlayedRecordWin rateAvg rating
nukeD184–1422%-0.00
officeD144–1029%-0.02
anubisD130–130%-0.04
infernoD122–1017%0.00
mirageD90–90%-0.03
ancientC83–538%-0.01
cacheD80–80%-0.02
overpass—42–250%0.03
vertigo—42–250%0.05
train—30–30%-0.00
dust2—31–233%0.01
debris—21–150%0.03
eldorado—11–0100%0.18
poseidon—10–10%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 13). Start with the 6 essential Anubis 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.

14.5%Headshot accuracy
30.7%Accuracy (enemy spotted)
49.9%Spray accuracy
57.6%Counter-strafing
8.9°Preaim
681msReaction time
51.6%T opening success
42.5%CT opening success
0.13Enemies flashed / flash
1.3%Flash assists
9.94HE damage / grenade
0.47Flashes / 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. 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 14.5108% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1314 — below the 0.5 mark we flag

    Grenade Lineups →
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.

0% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–16-0.0511%14 Oct →
ancient13–60.0023%14 Oct →
nuke5–13-0.0215%13 Oct →
cache9–13-0.0317%13 Oct →
office8–130.0020%9 Oct →
mirage5–13-0.0510%9 Oct →
train1–13-0.058%8 Oct →
mirage1–13-0.0624%8 Oct →
anubis5–13-0.078%8 Oct →
inferno13–16-0.0416%1 Oct →
nuke8–13-0.0432%1 Oct →
anubis5–9-0.0015%1 Oct →
nuke13–9-0.028%1 Oct →
overpass5–13-0.036%30 Sept →
anubis5–130.0011%30 Sept →
inferno9–13-0.026%30 Sept →
mirage3–10-0.1011%30 Sept →
train9–130.056%29 Sept →
cache4–13-0.0720%29 Sept →
ancient7–130.0312%29 Sept →
vertigo5–13-0.0820%29 Sept →
anubis0–13-0.0112%23 Sept →
nuke3–13-0.0011%23 Sept →
mirage6–130.0219%21 Sept →
cache11–130.0422%21 Sept →
anubis7–13-0.0510%20 Sept →
mirage9–130.0113%20 Sept →
dust23–130.0420%20 Sept →
inferno1–13-0.0321%20 Sept →
ancient13–80.0016%20 Sept →
anubis7–13-0.0815%20 Sept →
nuke9–13-0.093%17 Sept →
dust21–13-0.066%17 Sept →
cache11–13-0.0412%17 Sept →
anubis3–13-0.0436%17 Sept →
nuke15–150.0214%16 Sept →
anubis1–13-0.0312%16 Sept →
anubis8–13-0.0415%16 Sept →
inferno9–40.2223%14 Sept →
vertigo5–9-0.033%14 Sept →
dust213–50.0513%13 Sept →
train7–130.0118%13 Sept →
debris4–9-0.058%12 Sept →
vertigo9–30.2312%12 Sept →
nuke8–80.1018%12 Sept →
overpass9–40.1523%12 Sept →
inferno7–90.0211%12 Sept →
eldorado9–20.1817%12 Sept →
inferno3–13-0.0910%11 Sept →
ancient11–13-0.0121%11 Sept →
debris9–40.1117%11 Sept →
overpass13–4-0.0318%10 Sept →
office13–11-0.029%10 Sept →
nuke9–30.2919%10 Sept →
vertigo9–40.078%10 Sept →
poseidon7–90.0213%10 Sept →
inferno9–70.0710%9 Sept →
overpass8–80.0314%9 Sept →
mirage9–130.0211%9 Sept →
ancient13–50.0217%9 Sept →
nuke7–130.0618%8 Sept →
inferno10–13-0.0514%8 Sept →
nuke6–130.020%6 Sept →
nuke10–13-0.0113%6 Sept →
nuke13–5-0.049%6 Sept →
nuke13–6-0.063%6 Sept →
nuke10–130.0211%6 Sept →
nuke8–13-0.078%6 Sept →
ancient5–13-0.0130%6 Sept →
anubis6–13-0.077%6 Sept →
inferno4–130.0320%6 Sept →
office5–130.0420%4 Sept →
mirage3–130.0111%4 Sept →
cache6–13-0.029%4 Sept →
inferno9–13-0.0316%4 Sept →
office9–13-0.088%2 Sept →
office13–60.0218%2 Sept →
mirage7–13-0.059%2 Sept →
ancient2–13-0.0712%2 Sept →
inferno3–13-0.0723%2 Sept →
cache7–130.0316%31 Aug →
ancient11–13-0.0310%31 Aug →
anubis5–13-0.0319%31 Aug →
nuke8–13-0.0711%31 Aug →
office7–13-0.029%28 Aug →
cache5–13-0.0325%28 Aug →
anubis10–13-0.0821%28 Aug →
inferno13–16-0.0117%28 Aug →
nuke8–13-0.0613%28 Aug →
office11–13-0.0313%27 Aug →
office5–13-0.0021%27 Aug →
cache8–13-0.069%27 Aug →
office6–13-0.0317%27 Aug →
office8–13-0.0811%27 Aug →
office13–10.0033%27 Aug →
office13–3-0.0332%27 Aug →
office7–13-0.0010%26 Aug →
office3–13-0.0410%26 Aug →
mirage4–13-0.0914%26 Aug →
anubis8–13-0.079%26 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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