Haisuler

Haisuler — CS2 Stats

76561199049392844[U:1:1089127116]Steam profile ↗✓ No bans

309Tracked matches69%Win rate2025Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating13,947Blue band · top ~34% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 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: 13,947 +3,236 16 Nov – 12 Oct · 22 days played
8,88113,947peak 13,94716 Nov12 Oct
13,947Peak Premier in tracked matches
31Days played since 2025-11-16

Premier CS Rating

  • At peak — 13,947
  • Next: Purple band at 15,000 — 1,053 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.GGHaisulerFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,947 · Blue bandcsdb.gg/stats

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Performance scores

Aim36
Positioning72
Utility47

0–100 skill scores via Leetify.

Recent form

HOT48–48–4Last 10048%Win rateWWWWWWWWWT

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −1.5pp headshot accuracy · +38ms reaction

Win rate up 30pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 655ms

Last 10

  • 9–0–1 · 90% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 662ms

Last 20

  • 15–4–1 · 75% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 643ms

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 (+2.5 against its own average).

Aim3.6
Utility4.7
Positioning7.2
Opening Duels5.7
Clutch1.4

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

jL

Plays most like jL 56% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 74% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 74% on T to 47% on CT — first contacts on the defending side are being lost.

Reaction time. 638ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim3.6
Positioning7.2
Utility4.7
Mechanics3.4
Opening Duels7.1
Win Impact10.0

Composite 5.2/10 (Developing), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time653ms+0ms
first ⅓ avg 653ms → last ⅓ avg 653ms
Headshot accuracy14.8%+1.3%
first ⅓ avg 13.5% → last ⅓ avg 14.8%

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

0.25Best match rating · 1–11 · vertigo, 19 Dec →
35%Best headshot accuracy · 13–9 · ancient, 10 Oct →
391msFastest reaction time · 13–6 · inferno, 18 Dec →
13–1Biggest win · vertigo, 9 Jan →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W9Current streak
3–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 63% over 16officeWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
infernoA1610–663%0.02
dust2A169–756%0.02
nukeA159–660%0.03
mirageB126–650%0.02
officeD112–918%0.03
cacheA85–363%-0.02
overpassD62–433%-0.01
vertigoD51–420%0.06
trainD51–420%0.02
ancient—32–167%-0.03
anubis—31–233%-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

12Matches
67%Win rate
1.65Avg K/D
97.3ADR
37%Headshot %

Clutches & streaks

27%1v1 clutch win
18%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke475%1.5723.0
Dust2367%1.9817.7
Mirage333%1.4624.7
Overpass2100%1.5927.0

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.

15.2%Headshot accuracy
31.0%Accuracy (enemy spotted)
35.0%Spray accuracy
65.4%Counter-strafing
12.0°Preaim
638msReaction time
74.3%T opening success
46.6%CT opening success
0.53Enemies flashed / flash
2.2%Flash assists
6.09HE damage / grenade
8.96Flashes / 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 12.0496° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Vertigo

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient16–13-0.0113%12 Oct →
inferno13–8-0.0212%12 Oct →
inferno13–80.0415%12 Oct →
dust213–90.0123%12 Oct →
nuke13–80.0113%11 Oct →
mirage13–30.0622%11 Oct →
dust213–40.045%11 Oct →
nuke13–30.0817%11 Oct →
inferno13–20.1115%11 Oct →
dust215–15-0.0314%10 Oct →
ancient13–9-0.0435%10 Oct →
cache4–13-0.078%10 Oct →
office13–110.0713%10 Oct →
cache13–80.0026%10 Oct →
dust213–9-0.0121%10 Oct →
inferno7–13-0.0211%6 Oct →
nuke9–130.048%6 Oct →
nuke13–20.1029%6 Oct →
cache4–13-0.075%6 Oct →
cache13–10-0.0111%5 Oct →
cache13–4-0.0213%5 Oct →
nuke11–13-0.003%5 Oct →
dust213–30.0421%5 Oct →
cache13–100.0212%1 Oct →
nuke12–160.0423%1 Oct →
nuke13–70.0818%29 Sept →
dust23–13-0.0317%28 Sept →
cache10–7-0.048%28 Sept →
cache8–13-0.0015%24 Sept →
anubis11–13-0.0413%24 Sept →
anubis12–12-0.056%9 Jan →
vertigo13–10.0316%9 Jan →
office10–130.0010%9 Jan →
dust210–13-0.0317%9 Jan →
inferno13–110.0216%9 Jan →
inferno9–50.025%9 Jan →
inferno5–13-0.0613%5 Jan →
office4–13-0.0612%5 Jan →
inferno3–13-0.0715%2 Jan →
ancient7–13-0.0415%2 Jan →
train9–130.0612%2 Jan →
overpass13–8-0.0312%2 Jan →
nuke13–40.0711%2 Jan →
nuke13–20.056%2 Jan →
mirage13–100.0411%29 Dec →
dust23–13-0.0111%29 Dec →
mirage15–15-0.0013%29 Dec →
inferno4–130.015%28 Dec →
mirage13–10.028%28 Dec →
overpass8–13-0.036%24 Dec →
mirage6–13-0.0320%24 Dec →
mirage13–90.078%24 Dec →
overpass14–160.1015%23 Dec →
dust213–110.0416%23 Dec →
vertigo1–110.2517%19 Dec →
office7–130.0916%19 Dec →
nuke7–13-0.039%19 Dec →
office7–130.0413%18 Dec →
inferno13–6-0.027%18 Dec →
mirage8–130.0516%18 Dec →
inferno13–60.0217%18 Dec →
inferno9–60.119%18 Dec →
dust213–50.1010%18 Dec →
nuke10–5-0.0615%14 Dec →
inferno13–40.079%14 Dec →
dust213–60.158%14 Dec →
anubis13–70.0613%14 Dec →
vertigo11–13-0.0013%14 Dec →
mirage2–13-0.065%14 Dec →
office13–90.0112%14 Dec →
office11–130.0322%12 Dec →
office2–13-0.0217%12 Dec →
mirage14–160.0211%1 Dec →
office12–120.0416%29 Nov →
office7–130.0312%29 Nov →
office8–130.0814%29 Nov →
dust27–13-0.0412%29 Nov →
vertigo5–13-0.036%29 Nov →
train7–130.0213%29 Nov →
mirage13–7-0.0024%29 Nov →
inferno8–130.1216%29 Nov →
vertigo6–90.0316%29 Nov →
mirage9–130.0718%27 Nov →
inferno13–16-0.047%27 Nov →
nuke8–13-0.0012%27 Nov →
overpass3–13-0.0610%27 Nov →
nuke9–13-0.0119%26 Nov →
dust24–13-0.0319%24 Nov →
train16–120.1014%24 Nov →
nuke13–60.1015%24 Nov →
overpass6–13-0.038%21 Nov →
mirage13–100.0211%20 Nov →
dust213–8-0.0013%19 Nov →
dust213–10.0617%18 Nov →
inferno13–90.0215%18 Nov →
nuke13–80.052%18 Nov →
dust29–13-0.0310%17 Nov →
train8–13-0.0211%17 Nov →
overpass13–50.0217%17 Nov →
train3–13-0.0719%16 Nov →

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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