Seniili

Seniili — CS2 Stats

CC76561198122172537[U:1:161906809]Steam profile ↗✓ No bans

714Tracked matches56%Win rate2021Tracked since
CSDB Rating2.9 LearningSupport
Ladder ranks via Leetify

What changed since last observed

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

+34Tracked matches · now 714
−0.7ppWin rate · 56.7% → 56.0%

Rating over time

Premier CS Rating: 10,957 -1,055 12 Apr – 20 Apr · 6 days played
10,95712,285peak 12,28512 Apr20 Apr
12,497Peak Premier in tracked matches
30Days played since 2026-04-12

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

Performance scores

Aim23
Positioning30
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateLWTLTWWLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +11.8pp headshot accuracy · −12ms reaction

Win rate +10pp 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

  • 1–2–2 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 492ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 20%
  • Avg reaction 562ms

Last 20

  • 7–8–5 · 35% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 14%
  • Avg reaction 568ms

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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim2.3
Utility4.8
Positioning3.0
Opening Duels0.0
Clutch3.0

Effective flashes

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 63% 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

Reaction time. 591ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 55% 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

Aim2.3
Positioning3.0
Utility4.8
Mechanics1.1
Opening Duels0.0
Win Impact7.0

Composite 2.9/10 (Learning), 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-0.06+0.01
first ⅓ avg -0.07 → last ⅓ avg -0.06
Reaction time587ms−45ms
first ⅓ avg 632ms → last ⅓ avg 587ms
Headshot accuracy13.2%+4.6%
first ⅓ avg 8.6% → last ⅓ avg 13.2%

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

0.09Best match rating · 9–7 · inferno, 16 Apr →
100%Best headshot accuracy · 8–4 · rush_001, 4 Oct →
344msFastest reaction time · 0–9 · inferno, 26 Sept →
13–2Biggest win · train, 26 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 60% over 10mirageWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B2110–1148%-0.05
infernoB157–847%-0.07
nukeB136–746%-0.05
ancientD124–833%-0.05
mirageD113–827%-0.05
cacheA106–460%-0.06
rush_001A53–260%-0.09
trainC52–340%-0.02
vertigo—42–250%-0.02
overpass—20–20%-0.18
anubis—10–10%-0.04
debris—11–0100%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

76Matches
54%Win rate
0.67Avg K/D
55.5ADR
30%Headshot %

Clutches & streaks

35%1v1 clutch win
14%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust21872%0.7911.1
Inferno1346%0.6310.2
Nuke1369%0.567.9
Ancient1050%0.7010.6
Mirage1040%0.6711.7
Cache743%0.599.3
Overpass20%0.569.0
Train20%0.7212.0

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.

10.9%Headshot accuracy
32.1%Accuracy (enemy spotted)
35.7%Spray accuracy
55.1%Counter-strafing
14.2°Preaim
591msReaction time
24.3%T opening success
27.5%CT opening success
0.72Enemies flashed / flash
4.8%Flash assists
6.48HE damage / grenade
9.49Flashes / 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 14.1826° — 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 10.8655% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust212–16-0.0511%9 Oct →
cache13–3-0.0214%9 Oct →
mirage15–15-0.038%9 Oct →
nuke6–13-0.0114%7 Oct →
anubis15–15-0.048%7 Oct →
rush_0014–0-0.140%4 Oct →
rush_0016–2-0.067%4 Oct →
rush_0017–8-0.0913%4 Oct →
rush_0017–8-0.1120%4 Oct →
rush_0018–4-0.06100%4 Oct →
cache13–50.0017%30 Sept →
cache3–13-0.1513%30 Sept →
vertigo12–12-0.074%30 Sept →
vertigo12–12-0.069%26 Sept →
vertigo13–8-0.0312%26 Sept →
train13–2-0.014%26 Sept →
train8–13-0.087%26 Sept →
train12–12-0.0111%26 Sept →
inferno0–9-0.270%26 Sept →
cache4–13-0.180%28 Aug →
inferno13–10-0.0611%28 Aug →
mirage13–11-0.074%28 Aug →
train13–110.0211%30 Jul →
train3–13-0.024%30 Jul →
vertigo13–90.069%30 Jul →
debris9–6-0.0610%14 Jul →
nuke6–13-0.1016%12 Jul →
nuke8–13-0.0517%5 Jun →
dust216–19-0.048%29 May →
nuke13–5-0.0223%28 May →
nuke13–5-0.0421%28 May →
ancient13–5-0.0110%27 May →
dust216–12-0.0919%25 May →
inferno7–13-0.0113%25 May →
inferno7–13-0.0218%24 May →
nuke13–50.0111%24 May →
inferno13–7-0.042%24 May →
nuke11–13-0.108%24 May →
cache8–13-0.028%24 May →
nuke13–5-0.043%24 May →
ancient16–19-0.0913%23 May →
dust213–80.027%23 May →
ancient8–13-0.0220%23 May →
ancient11–13-0.050%23 May →
dust213–3-0.0310%23 May →
dust213–11-0.050%23 May →
nuke13–7-0.069%23 May →
dust213–11-0.086%23 May →
inferno13–7-0.043%22 May →
dust217–19-0.056%22 May →
cache13–6-0.0217%22 May →
mirage3–13-0.0412%22 May →
cache13–16-0.100%21 May →
dust213–8-0.044%21 May →
mirage1–7-0.060%21 May →
ancient6–13-0.107%21 May →
dust213–2-0.029%18 May →
overpass9–13-0.096%18 May →
inferno5–13-0.126%17 May →
mirage13–8-0.058%17 May →
ancient13–11-0.046%17 May →
nuke7–9-0.099%17 May →
mirage4–13-0.084%28 Apr →
ancient13–9-0.048%28 Apr →
mirage6–13-0.0112%28 Apr →
cache13–6-0.044%26 Apr →
dust210–13-0.0416%26 Apr →
dust213–11-0.044%23 Apr →
ancient5–13-0.100%23 Apr →
cache13–9-0.0413%23 Apr →
nuke13–4-0.030%23 Apr →
ancient2–13-0.060%23 Apr →
dust213–9-0.0813%22 Apr →
cache13–7-0.0411%22 Apr →
inferno13–40.0514%22 Apr →
dust27–13-0.108%20 Apr →
dust211–13-0.1114%20 Apr →
mirage17–19-0.145%20 Apr →
dust21–8-0.085%19 Apr →
ancient6–13-0.087%19 Apr →
mirage13–8-0.0310%19 Apr →
inferno1–13-0.1218%19 Apr →
mirage5–13-0.085%17 Apr →
dust25–13-0.0418%17 Apr →
ancient13–110.046%17 Apr →
ancient4–13-0.0415%17 Apr →
dust211–13-0.0213%17 Apr →
mirage7–13-0.0011%17 Apr →
inferno4–13-0.1210%16 Apr →
nuke10–13-0.079%16 Apr →
dust216–13-0.0512%16 Apr →
inferno6–9-0.160%16 Apr →
overpass2–9-0.270%16 Apr →
inferno9–70.095%16 Apr →
inferno9–5-0.0317%16 Apr →
inferno3–9-0.140%16 Apr →
inferno13–10-0.129%13 Apr →
dust211–13-0.0315%13 Apr →
nuke13–16-0.092%12 Apr →
dust23–13-0.0916%12 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.