Kermistotle

Kermistotle — CS2 Stats

AO76561198111628883[U:1:151363155]Steam profile ↗✓ No bans

872Tracked matches56%Win rate2020Tracked since
1,203Hours in CS
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating4,483Grey band · top ~81% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 872 tracked matches. 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. 39 days played since 2 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 4,483 +490 2 Jun14 Sept · 28 days played
2,9004,999peak 4,9992 Jun14 Sept
4,999Peak Premier in tracked matches
39Days played since 2026-06-02

Premier CS Rating

  • 516 below peak (4,999)
  • -434 over 30 days · declining
  • +520 over 90 days
  • Next: Light Blue band at 5,000 517 to go

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

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,332), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate42.9%38.1%39.9%above
Shot accuracy15.3%3.8%6.8%above
Kill/death ratio0.900.830.910.02 short
Match win rate30.7%40.2%42.3%11.6% short

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKermistotlePREMIER4,483 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim63
Positioning41
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY51418Last 10051%Win rateLLTWWTWWWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +2.8pp headshot accuracy · +24ms 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

  • 221 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 638ms

Last 10

  • 622 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 606ms

Last 20

  • 1163 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 594ms

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 PlayerPositioning stands above the rest of this profile (+0.9 against its own average).

Aim6.3
Utility3.8
Positioning4.1
Opening Duels1.7

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 96% 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

T-side openings. Opening success drops from 42% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 607ms 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

Aim6.3
Positioning4.1
Utility3.8
Mechanics8.3
Opening Duels1.5
Win Impact6.9

Composite 4.8/10 (Developing), 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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time614ms−120ms
first ⅓ avg 734ms → last ⅓ avg 614ms
Headshot accuracy19.4%+0.4%
first ⅓ avg 19.0% → last ⅓ avg 19.4%

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

0.13Best match rating · 13–11 · anubis, 9 Aug
100%Best headshot accuracy · 3–2 · inferno, 7 Aug
469msFastest reaction time · 13–4 · dust2, 15 Aug
13–1Biggest win · dust2, 24 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
75In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 73% over 15anubisWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
anubisC2181338%-0.01
infernoB20101050%-0.00
dust2C2081240%0.00
ancientS1511473%0.00
cacheB105550%-0.04
mirageA53260%0.01
overpass42250%0.03
nuke220100%0.01
train110100%0.01
office1010%0.01
vertigo110100%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,784Lifetime kills
0.90K/D · Top 50% of Grey band
3,318Matches
30.7%Match win rate
42.9%Headshot % · Top 25% of Grey band
15.3%Shot accuracy · Top 10% of Grey band
4,739MVPs
1,203Hours (in match)
2,474Bombs planted
537Bombs defused

Most-used weapons

Lifetime map wins

9,444dust2
2,354inferno
1,326vertigo
776nuke
147train
110cbble
85lake
51office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

17.5%Headshot accuracy
30.9%Accuracy (enemy spotted)
28.0%Spray accuracy
87.3%Counter-strafing
9.1°Preaim
607msReaction time
26.4%T opening success
41.6%CT opening success
0.42Enemies flashed / flash
2.3%Flash assists
12.33HE damage / grenade
5.16Flashes / 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. 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 0.4164 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 26.4439% — below the 40% mark we flag

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.

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno8–130.0616%2 Sept
anubis9–130.0419%2 Sept
inferno15–150.0119%1 Sept
train13–40.0119%24 Aug
dust213–1-0.075%24 Aug
dust215–150.0216%23 Aug
anubis13–70.0121%15 Aug
dust213–4-0.0414%15 Aug
nuke13–60.0126%15 Aug
mirage13–10.0324%15 Aug
inferno13–8-0.0421%14 Aug
ancient13–90.0214%14 Aug
ancient13–80.0319%14 Aug
ancient6–130.1020%12 Aug
cache9–13-0.0512%12 Aug
dust210–13-0.019%12 Aug
dust213–70.0315%11 Aug
inferno15–150.0917%10 Aug
inferno8–13-0.029%10 Aug
anubis13–4-0.0516%9 Aug
anubis13–110.1324%9 Aug
anubis3–13-0.077%8 Aug
ancient13–90.0215%8 Aug
ancient10–13-0.0628%7 Aug
inferno4–13-0.0540%7 Aug
cache11–130.0114%7 Aug
anubis10–13-0.0115%7 Aug
anubis8–13-0.087%7 Aug
inferno3–2-0.12100%7 Aug
cache13–9-0.109%7 Aug
anubis5–13-0.108%6 Aug
anubis15–150.0834%6 Aug
inferno13–10-0.058%5 Aug
dust210–130.0518%5 Aug
dust215–150.0443%4 Aug
nuke13–90.0121%4 Aug
inferno13–50.0525%4 Aug
cache1–13-0.0810%4 Aug
anubis3–13-0.0235%3 Aug
anubis13–5-0.046%3 Aug
ancient13–6-0.055%1 Aug
dust213–60.0412%1 Aug
dust213–50.0827%31 Jul
cache13–3-0.0712%31 Jul
ancient7–13-0.0315%31 Jul
inferno11–13-0.0524%31 Jul
ancient13–6-0.0020%30 Jul
inferno13–100.0423%29 Jul
ancient13–11-0.0620%29 Jul
anubis13–7-0.0413%29 Jul
anubis15–15-0.0211%29 Jul
anubis7–13-0.0925%24 Jul
cache13–9-0.0319%24 Jul
dust213–11-0.0123%24 Jul
ancient13–50.1120%23 Jul
anubis13–50.0823%22 Jul
inferno10–130.0018%22 Jul
inferno5–13-0.0925%21 Jul
ancient10–13-0.0218%21 Jul
ancient13–5-0.0113%19 Jul
ancient13–60.0232%19 Jul
inferno13–90.0123%19 Jul
dust29–130.0214%19 Jul
inferno7–13-0.0418%19 Jul
anubis13–4-0.0421%19 Jul
anubis13–90.0613%15 Jul
mirage5–130.0317%15 Jul
cache16–140.0425%13 Jul
anubis11–130.0121%13 Jul
overpass12–12-0.0532%11 Jul
dust214–160.0622%11 Jul
inferno13–7-0.0116%10 Jul
cache8–13-0.0415%10 Jul
dust23–13-0.0715%10 Jul
dust24–130.0144%8 Jul
office6–130.0127%8 Jul
cache6–13-0.0633%7 Jul
overpass5–130.0112%15 Jun
dust214–16-0.0425%14 Jun
dust213–60.0529%14 Jun
anubis5–13-0.0512%12 Jun
anubis3–13-0.0112%12 Jun
overpass13–100.0521%12 Jun
mirage13–10-0.0323%9 Jun
mirage13–11-0.0221%9 Jun
dust24–130.0510%9 Jun
dust213–40.0119%6 Jun
inferno13–10.0319%6 Jun
cache13–4-0.029%6 Jun
vertigo6–30.0235%6 Jun
dust23–13-0.089%6 Jun
ancient13–11-0.0212%6 Jun
mirage12–120.0219%5 Jun
inferno9–13-0.0312%3 Jun
ancient13–5-0.0317%3 Jun
inferno13–30.0815%3 Jun
anubis6–130.029%3 Jun
inferno13–80.0516%2 Jun
overpass11–10.0911%2 Jun
dust23–13-0.068%2 Jun

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 →