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Kypherz — CS2 Stats

76561198119584906[U:1:159319178]

370Tracked matches46%Win rate2021Tracked since
420Hours in CS
CSDB Rating4.5 Developing
Ladder ranks via Leetify

Performance scores

Aim52
Positioning48
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY37–53–10Last 10037%Win rateWLWLWWLWLL

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim5.2
Aggression5.3
Utility3.9
Positioning4.8
Opening Duels1.3
Clutch4.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: opening-fight frequency, 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

Reaction time. 608ms 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
Positioning4.8
Utility3.9
Mechanics6.1
Opening Duels1.3
Win Impact3.8

Composite 4.5/10 (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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time606ms−41ms
first ⅓ avg 647ms → last ⅓ avg 606ms
Headshot accuracy11.0%−0.7%
first ⅓ avg 11.7% → last ⅓ avg 11.0%

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.

Highlights

0.12Best rating — cache 13–1
13–1Biggest win — cache
5Longest win streak
7–10In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 50% over 16vertigoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
cacheB168–850%0.03
nukeB168–850%0.02
dust2D142–1214%0.01
mirageD124–833%-0.03
vertigoD81–713%-0.01
trainC73–443%0.01
infernoD62–433%-0.02
overpassD51–420%-0.01
grailC52–340%-0.03
office—32–167%-0.01
alpine—31–233%-0.06
ancient—20–20%0.01
warden—11–0100%-0.06
anubis—11–0100%0.06
palacio—11–0100%0.05

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,594Lifetime kills
0.98K/D
1,281Matches
41.7%Match win rate
36.0%Headshot %
9.7%Shot accuracy
2,289MVPs
420Hours (in match)
1,463Bombs planted
202Bombs defused

Most-used weapons

AK-476,479
M4A4 / M4A1-S4,632
AWP1,877
P2000 / USP-S1,301
Glock-18766
PP-Bizon695
MP9681
MAC-10451
Desert Eagle364
XM1014296

Lifetime map wins

2,604nuke
1,487dust2
806inferno
700train
584vertigo
289office
41italy
25cbble

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

Faceit stats

Combat

6Matches
50%Win rate
1.17Avg K/D
89.5ADR
46%Headshot %

Clutches & streaks

40%1v1 clutch win
40%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.9414.5
Nuke2100%1.0218.0
Train10%1.4426.0
Ancient1100%1.6221.0

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.

11.3%Headshot accuracy
34.2%Accuracy (enemy spotted)
37.8%Spray accuracy
77.5%Counter-strafing
11.4°Preaim
608msReaction time
29.5%T opening success
40.7%CT opening success
0.45Enemies flashed / flash
7.5%Flash assists
10.00HE damage / grenade
4.56Flashes / 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. 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 11.2705% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4467 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 29.5336% — below the 40% mark we flag

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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–20.0919%20 May →
vertigo3–130.0612%20 May →
cache13–10-0.019%18 May →
mirage2–6-0.060%14 May →
overpass13–30.0813%12 May →
nuke13–60.054%12 May →
cache8–130.0413%12 May →
nuke13–100.0511%12 May →
cache9–130.019%11 May →
cache11–13-0.0520%11 May →
cache12–120.047%11 May →
cache13–80.097%11 May →
cache13–30.0912%8 May →
cache6–13-0.0312%8 May →
cache13–10.125%7 May →
cache10–130.0216%7 May →
nuke12–120.0114%6 May →
office13–8-0.0410%6 May →
cache1–60.078%5 May →
cache11–13-0.0115%5 May →
cache13–2-0.0216%5 May →
cache13–110.0115%5 May →
cache13–110.0310%4 May →
mirage13–9-0.0314%28 Apr →
train8–130.0818%27 Apr →
ancient9–130.036%27 Apr →
vertigo5–13-0.017%26 Apr →
overpass9–13-0.048%24 Apr →
vertigo6–13-0.069%24 Apr →
dust23–13-0.019%24 Apr →
nuke6–13-0.0210%24 Apr →
alpine8–13-0.0311%24 Mar →
office13–7-0.0414%24 Mar →
nuke12–120.0214%4 Feb →
mirage13–110.019%4 Feb →
mirage11–13-0.0714%3 Feb →
inferno11–13-0.0122%2 Feb →
vertigo11–13-0.0126%2 Feb →
train13–110.0217%2 Feb →
alpine6–13-0.104%2 Feb →
ancient1–80.0017%2 Feb →
warden13–8-0.065%23 Jan →
alpine13–5-0.059%23 Jan →
office9–130.0622%21 Jan →
anubis13–50.0612%21 Jan →
palacio13–60.0510%6 Oct →
train13–50.0817%5 Oct →
overpass12–12-0.015%1 Oct →
grail9–70.017%26 Sept →
dust212–120.0618%26 Sept →
dust212–12-0.0715%15 Sept →
mirage13–40.1114%15 Sept →
grail1–13-0.056%13 Sept →
grail12–120.016%10 Sept →
dust28–13-0.0310%10 Sept →
nuke12–120.047%8 Sept →
vertigo13–10-0.018%8 Sept →
train7–13-0.0113%8 Sept →
mirage9–13-0.0310%8 Sept →
overpass8–13-0.029%8 Sept →
dust29–130.0915%8 Sept →
dust211–13-0.0412%7 Sept →
nuke13–80.0721%7 Sept →
nuke13–10-0.0410%7 Sept →
dust29–130.0613%7 Sept →
dust212–120.0519%7 Sept →
grail13–5-0.0313%2 Sept →
inferno13–50.0723%2 Sept →
nuke13–40.0315%30 Aug →
dust213–70.0315%30 Aug →
inferno13–110.0427%30 Aug →
dust211–130.0113%25 Aug →
nuke13–70.0620%24 Aug →
vertigo9–130.057%17 Aug →
overpass6–13-0.0413%12 Aug →
mirage11–13-0.039%4 Aug →
vertigo11–130.0010%4 Aug →
dust213–6-0.004%4 Aug →
grail6–13-0.0811%4 Aug →
train13–8-0.042%3 Aug →
vertigo5–13-0.076%2 Aug →
nuke4–130.0815%2 Aug →
dust211–130.043%2 Aug →
mirage5–13-0.0516%2 Aug →
dust25–130.0214%2 Aug →
nuke13–11-0.0210%1 Aug →
train5–13-0.0914%31 Jul →
dust23–13-0.066%16 Jun →
mirage2–13-0.0411%15 Jun →
train15–150.016%15 Jun →
inferno2–9-0.0817%15 Jun →
nuke10–13-0.0413%14 Jun →
inferno5–9-0.0918%13 Jun →
inferno6–9-0.0514%13 Jun →
mirage6–13-0.0213%13 Jun →
mirage3–13-0.0813%12 Jun →
nuke13–2-0.003%12 Jun →
mirage13–8-0.0210%12 Jun →
nuke4–130.0411%12 Jun →
nuke5–13-0.0810%11 Jun →

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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