schism

schism — CS2 Stats

76561199115243655[U:1:1154977927]Steam profile ↗✓ No bans

1,693Tracked matches58%Win rate2021Tracked since
1,913Hours in CS21Hrs last 2 wks
CSDB Rating7.6 StrongPositional Player
Premier CS Rating18,159Purple band · top ~15.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

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

No change since then — still 1,693 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. 41 days played since 4 Jul 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: 18,159 -241 5 Sept20 Sept · 4 days played
18,15918,400peak 18,4005 Sept20 Sept
18,509Peak Premier in tracked matches
41Days played since 2026-07-04

Premier CS Rating

  • 241 below peak (18,400)
  • Next: Pink band at 20,000 1,841 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-20
  • Blue band first seen 2026-09-20

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 Purple band among CSDB-tracked players (n=36,319), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate53.7%44.3%46.9%above
Shot accuracy7.2%11.8%13.0%5.8% short
Kill/death ratio0.921.031.080.16 short
Match win rate49.7%45.2%46.7%above

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

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGschismPREMIER18,159 · Purple bandcsdb.gg/stats

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Performance scores

Aim88
Positioning75
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY43498Last 10043%Win rateLLLWWWLTWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −2.8pp headshot accuracy · −61ms 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 -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 511ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 519ms

Last 20

  • 1064 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 549ms

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 (+1.5 against its own average).

Aim8.8
Utility4.7
Positioning7.5
Opening Duels5.8

Sharp aimer

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 91% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

T openings. 74% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 74% on T to 51% on CT — first contacts on the defending side are being lost.

Reaction time. 551ms 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

Aim8.8
Positioning7.5
Utility4.7
Mechanics8.0
Opening Duels7.6
Win Impact7.8

Composite 7.6/10 (Strong), 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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time551ms−70ms
first ⅓ avg 621ms → last ⅓ avg 551ms
Headshot accuracy21.5%−0.9%
first ⅓ avg 22.4% → last ⅓ avg 21.5%

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

0.15Best match rating · 13–9 · train, 13 Jul
44%Best headshot accuracy · 6–3 · inferno, 28 Jul
375msFastest reaction time · 9–13 · office, 28 Jul
13–1Biggest win · cache, 13 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
24In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 71% over 7infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC2291341%0.01
dust2C1971237%0.00
anubisC104640%0.01
infernoD93633%-0.02
ancientD93633%-0.01
nukeA95456%-0.00
cacheA95456%0.02
trainS75271%0.07
office41325%0.01
overpass21150%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,099Lifetime kills
0.92K/D
2,898Matches
49.7%Match win rate · Top 25% of Purple band
53.7%Headshot % · Top 25% of Purple band
7.2%Shot accuracy
5,732MVPs
1,459Hours (in match)
1,773Bombs planted
571Bombs defused

Most-used weapons

Lifetime map wins

4,094dust2
3,840inferno
3,177nuke
2,602vertigo
1,381train
625office
93italy
20lake

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.

21.1%Headshot accuracy
39.3%Accuracy (enemy spotted)
38.1%Spray accuracy
86.1%Counter-strafing
8.1°Preaim
551msReaction time
73.9%T opening success
50.6%CT opening success
0.51Enemies flashed / flash
10.0%Flash assists
6.22HE damage / grenade
14.22Flashes / match

Recommended for you

Spend your practice time on Inferno

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis8–130.0119%20 Sept
inferno10–13-0.0437%20 Sept
mirage2–13-0.0320%20 Sept
ancient13–80.0413%19 Sept
nuke13–100.0217%19 Sept
train13–50.0818%19 Sept
dust23–13-0.0311%19 Sept
dust212–12-0.0313%18 Sept
anubis13–110.0016%18 Sept
cache13–100.1326%17 Sept
mirage13–60.0130%17 Sept
anubis12–120.1517%17 Sept
train12–120.0034%17 Sept
dust213–100.0319%17 Sept
nuke12–120.0320%16 Sept
mirage13–40.0618%16 Sept
dust213–5-0.0118%15 Sept
cache10–130.0124%15 Sept
mirage13–10-0.0319%15 Sept
dust26–13-0.0017%14 Sept
anubis13–80.0415%13 Sept
mirage8–130.0512%13 Sept
ancient9–13-0.0119%13 Sept
cache13–10.0331%13 Sept
train11–130.0627%13 Sept
ancient9–13-0.0425%12 Sept
mirage13–40.0025%12 Sept
dust213–80.0226%12 Sept
inferno12–120.0019%12 Sept
dust212–120.1226%10 Sept
mirage7–13-0.0131%10 Sept
train13–40.0532%9 Sept
ancient6–13-0.0715%7 Sept
mirage0–13-0.0514%6 Sept
dust27–13-0.1133%5 Sept
mirage13–6-0.0515%5 Sept
anubis9–13-0.1042%5 Sept
ancient11–13-0.0612%5 Sept
dust213–7-0.0119%5 Sept
train13–50.0823%4 Sept
inferno13–5-0.0120%4 Sept
dust28–13-0.0314%4 Sept
mirage12–120.0718%4 Sept
ancient13–10-0.0119%3 Sept
anubis10–13-0.0314%3 Sept
ancient9–13-0.0114%2 Sept
cache8–13-0.0615%29 Aug
dust24–13-0.0817%29 Aug
nuke13–80.0121%26 Aug
mirage13–6-0.0518%26 Aug
mirage7–13-0.0913%22 Aug
anubis13–11-0.0411%22 Aug
nuke10–13-0.0416%21 Aug
mirage3–130.0224%21 Aug
train13–30.0824%20 Aug
dust210–130.0020%20 Aug
mirage10–130.0321%20 Aug
cache13–100.0528%15 Aug
cache10–130.0037%13 Aug
inferno6–130.0311%12 Aug
cache10–13-0.0722%12 Aug
inferno0–2-0.120%3 Aug
nuke3–13-0.0819%3 Aug
dust23–13-0.0919%3 Aug
ancient13–30.0125%3 Aug
inferno7–13-0.0325%2 Aug
mirage0–13-0.070%2 Aug
nuke16–13-0.0315%2 Aug
office9–13-0.0225%28 Jul
inferno6–30.0144%28 Jul
dust29–130.0325%28 Jul
anubis13–7-0.0417%26 Jul
dust213–70.0328%26 Jul
anubis10–130.1529%24 Jul
nuke13–90.0621%23 Jul
mirage2–13-0.0229%23 Jul
dust213–50.0422%20 Jul
overpass4–90.0921%19 Jul
mirage2–130.0622%19 Jul
anubis5–13-0.0220%17 Jul
mirage7–130.0121%17 Jul
mirage12–120.0413%13 Jul
train13–90.1528%13 Jul
office5–130.0020%11 Jul
inferno6–13-0.038%11 Jul
ancient9–130.1035%11 Jul
dust211–130.1121%11 Jul
mirage13–20.1427%8 Jul
cache13–60.0518%8 Jul
dust29–130.0222%8 Jul
cache13–60.0211%7 Jul
nuke5–130.0019%7 Jul
office8–130.0316%6 Jul
mirage13–6-0.0125%6 Jul
mirage13–90.0613%5 Jul
nuke13–50.0127%5 Jul
dust213–90.0318%5 Jul
inferno13–90.0624%5 Jul
office13–80.0231%5 Jul
overpass13–90.0520%4 Jul

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 →