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Kaiser

Kaiser — CS2 Stats

FR76561198363384008[U:1:403118280]Steam profile ↗✓ No bans

458Tracked matches41%Win rate2020Tracked since
1,111Hours in CS
CSDB Rating5.0 DevelopingPositional Player
CSDB Leaderboard#133989 of 259681 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,256 -351 17 Mar – 25 Mar · 3 days played
16,25616,607peak 16,60717 Mar25 Mar
16,607Peak Premier in tracked matches
951Highest Faceit ELO seen on CSDB
32Days played since 2026-02-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate47.6%41.8%42.7%above
Shot accuracy12.4%12.2%11.2%above
Kill/death ratio0.720.980.990.27 short
Match win rate65.2%43.3%43.9%above

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKaiserFACEITLevel 3STANDINGTop 90.6% of rankedPEAK ELO951csdb.gg/stats

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Performance scores

Aim52
Positioning51
Utility37

0–100 skill scores via Leetify.

Recent form

COLD53–44–3Last 10053%Win rateLLLWLLLLWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +1.1pp headshot accuracy · +32ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 717ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 12%
  • Avg reaction 713ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 697ms

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 (+1.5 against its own average).

Aim5.2
Utility3.7
Positioning5.1
Opening Duels2.7
Clutch2.8

Excellent counter-strafingStrong CT-side openerLimited 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

Twistzz

Plays most like Twistzz 84% 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

Areas to improve

T-side openings. Opening success drops from 56% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 700ms 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

Aim5.2
Positioning5.1
Utility3.7
Mechanics8.5
Opening Duels3.3
Win Impact2.1

Composite 5.0/10 (Developing), 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-0.05−0.03
first ⅓ avg -0.02 → last ⅓ avg -0.05
Reaction time698ms+5ms
first ⅓ avg 692ms → last ⅓ avg 698ms
Headshot accuracy12.9%−0.8%
first ⅓ avg 13.7% → last ⅓ avg 12.9%

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

0.18Best match rating · 13–1 · inferno, 17 Mar →
30%Best headshot accuracy · 13–1 · overpass, 16 Mar →
508msFastest reaction time · 13–8 · inferno, 3 Mar →
13–0Biggest win · dust2, 2 Mar →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L3Current streak
11–3In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 68% over 34ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoS3423–1168%-0.03
dust2C3011–1937%-0.04
overpassA1610–663%-0.03
ancientC114–736%-0.03
nuke—31–233%-0.04
anubis—32–167%-0.03
cache—22–0100%-0.04
poseidon—10–10%0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,793Lifetime kills
0.72K/D
1,452Matches
65.2%Match win rate · Top 5% of Level 3 players
47.6%Headshot % · Top 25% of Level 3 players
12.4%Shot accuracy · Top 50% of Level 3 players
2,710MVPs
1,111Hours (in match)
1,603Bombs planted
385Bombs defused

Most-used weapons

AK-479,884
M4A4 / M4A1-S6,980
P2000 / USP-S2,431
AWP1,300
Glock-181,122
FAMAS934
MP9931
MAC-10856
Galil AR849
UMP-45595

Lifetime map wins

6,046dust2
4,725inferno
677nuke
636train
233vertigo
183cbble
57safehouse
53office

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

Faceit stats

Combat

125Matches
49%Win rate
0.86Avg K/D
66.2ADR
34%Headshot %

Clutches & streaks

34%1v1 clutch win
14%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust22162%0.9814.9
Inferno1457%0.9513.2
Ancient944%1.1112.4
Overpass757%1.0111.7
Anubis20%0.7013.5
Mirage1100%1.1813.0
Nuke1100%1.6016.0

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.

12.8%Headshot accuracy
35.1%Accuracy (enemy spotted)
37.1%Spray accuracy
88.1%Counter-strafing
12.2°Preaim
700msReaction time
25.1%T opening success
56.0%CT opening success
0.56Enemies flashed / flash
6.6%Flash assists
9.45HE damage / grenade
2.91Flashes / 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 12.1968° — 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 12.8451% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 700.0525ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Ancient

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0813%7 Sept →
inferno8–13-0.055%14 Aug →
nuke5–13-0.082%14 Aug →
dust213–11-0.0117%12 Aug →
dust26–13-0.0221%12 Aug →
dust211–13-0.1010%23 Jul →
inferno5–9-0.1916%23 Jul →
ancient8–13-0.0712%22 Jul →
anubis10–2-0.0320%22 Jul →
dust26–13-0.0310%22 Jul →
inferno13–8-0.036%22 Jul →
inferno8–13-0.0415%21 Jul →
dust212–16-0.0716%21 Jul →
dust210–13-0.059%20 Jul →
inferno13–7-0.0714%20 Jul →
inferno13–11-0.047%9 Jul →
cache13–7-0.0213%8 Jul →
inferno8–13-0.0315%8 Jul →
nuke13–8-0.0315%8 Jul →
overpass0–13-0.094%8 Jul →
dust28–13-0.0913%8 Jul →
dust211–13-0.029%8 Jul →
anubis13–5-0.0225%7 Jul →
inferno13–9-0.0725%7 Jul →
ancient13–100.0014%7 Jul →
ancient8–130.0010%7 Jul →
overpass4–13-0.0613%7 Jul →
dust212–12-0.1125%7 Jul →
dust28–13-0.0911%7 Jul →
inferno13–110.0010%7 Jul →
overpass13–11-0.037%2 Jul →
overpass13–20.0920%1 Jul →
inferno13–11-0.036%1 Jul →
inferno2–13-0.0911%1 Jul →
dust212–12-0.0315%1 Jul →
dust26–13-0.0315%6 May →
nuke6–13-0.0215%6 May →
cache13–11-0.053%6 May →
dust24–13-0.098%3 Apr →
inferno5–2-0.088%25 Mar →
dust21–13-0.134%25 Mar →
overpass6–13-0.0221%25 Mar →
dust213–6-0.0224%24 Mar →
overpass13–3-0.119%24 Mar →
inferno8–13-0.0116%20 Mar →
inferno13–8-0.012%18 Mar →
dust29–13-0.0328%18 Mar →
overpass13–100.0120%17 Mar →
inferno13–10.1811%17 Mar →
dust213–60.1020%17 Mar →
dust213–7-0.0410%16 Mar →
overpass13–10.0630%16 Mar →
ancient12–16-0.0513%15 Mar →
overpass13–10-0.049%14 Mar →
dust219–17-0.036%14 Mar →
poseidon4–90.1110%11 Mar →
dust21–13-0.0611%11 Mar →
dust26–13-0.0911%11 Mar →
inferno13–9-0.064%11 Mar →
ancient8–13-0.0910%11 Mar →
inferno16–13-0.0314%10 Mar →
anubis9–13-0.0511%10 Mar →
inferno13–10-0.0319%10 Mar →
dust213–80.0316%10 Mar →
inferno9–13-0.0513%10 Mar →
inferno5–13-0.0611%10 Mar →
dust213–11-0.0016%10 Mar →
ancient6–13-0.028%10 Mar →
dust225–23-0.0111%9 Mar →
inferno6–13-0.0719%9 Mar →
inferno13–5-0.040%9 Mar →
ancient13–80.0313%9 Mar →
ancient13–20.0317%9 Mar →
inferno8–00.0812%7 Mar →
inferno13–5-0.0318%7 Mar →
inferno13–9-0.0016%7 Mar →
inferno13–6-0.0315%5 Mar →
inferno13–80.0321%5 Mar →
inferno13–8-0.0318%5 Mar →
inferno6–13-0.0423%4 Mar →
ancient13–11-0.0326%4 Mar →
overpass1–13-0.0921%3 Mar →
overpass13–11-0.0210%3 Mar →
inferno13–80.0116%3 Mar →
overpass13–9-0.059%3 Mar →
ancient9–13-0.048%2 Mar →
dust26–13-0.0722%2 Mar →
dust213–00.0220%2 Mar →
overpass6–13-0.107%2 Mar →
inferno8–13-0.018%2 Mar →
dust28–13-0.0412%1 Mar →
inferno13–10.0218%1 Mar →
overpass13–3-0.0712%1 Mar →
dust213–9-0.054%28 Feb →
overpass13–20.095%28 Feb →
inferno13–30.0714%28 Feb →
dust212–12-0.0713%28 Feb →
inferno13–3-0.040%28 Feb →
dust213–4-0.0114%28 Feb →
overpass11–13-0.0423%28 Feb →

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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