pync

pync — CS2 Stats

KH76561198149405874[U:1:189140146]Steam profile ↗✓ No bans

238Tracked matches50%Win rate2022Tracked since
CSDB Rating6.1 SolidSupport
Premier CS Rating20,511Pink band · top ~7.9% of ranked players (population est.)
Ladder ranks via Leetify

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CSDB.GGpyncPREMIER20,511 · Pink bandcsdb.gg/stats

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Performance scores

Aim72
Positioning51
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWWLWLWLLLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +4.3pp headshot accuracy · +51ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 587ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 27%
  • Avg reaction 611ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 25%
  • Avg reaction 586ms

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 (+2.6 against its own average).

Aim7.2
Utility6.5
Positioning5.1
Opening Duels1.6
Clutch2.6

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 83% 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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 615ms 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

Aim7.2
Positioning5.1
Utility6.5
Mechanics7.5
Opening Duels1.6
Win Impact5.0

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time608ms−62ms
first ⅓ avg 671ms → last ⅓ avg 608ms
Headshot accuracy23.2%+2.7%
first ⅓ avg 20.5% → last ⅓ avg 23.2%

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

0.17Best match rating · 4–13 · train, 29 Jun →
42%Best headshot accuracy · 13–4 · cache, 9 Jul →
406msFastest reaction time · 5–13 · mirage, 19 Aug →
13–1Biggest win · dust2, 1 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
4–5In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 57% over 7mirageWeakest map · 38% over 29
MapGradePlayedRecordWin rateAvg rating
mirageC2911–1838%-0.01
dust2A2514–1156%0.02
infernoB137–654%-0.00
nukeA116–555%0.01
anubisA74–357%0.00
ancientB63–350%0.03
cacheC52–340%0.02
office—20–20%-0.05
vertigo—10–10%0.13
train—10–10%0.17

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 29). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches
50%Win rate
1.04Avg K/D
102.1ADR
64%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.9015.0
Dust210%1.2719.0
Cache1100%1.0715.0

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.

23.0%Headshot accuracy
33.8%Accuracy (enemy spotted)
35.7%Spray accuracy
83.5%Counter-strafing
10.4°Preaim
615msReaction time
39.5%T opening success
33.1%CT opening success
0.80Enemies flashed / flash
5.1%Flash assists
8.85HE damage / grenade
6.80Flashes / 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

    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 39.454% — below the 40% mark we flag

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.

38% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient16–12-0.0534%11 Sept →
dust213–30.0422%1 Sept →
mirage7–13-0.0120%1 Sept →
dust213–10.0234%1 Sept →
dust26–130.0724%31 Aug →
inferno13–8-0.0424%31 Aug →
inferno5–13-0.0423%28 Aug →
mirage2–13-0.0330%24 Aug →
mirage10–130.0326%24 Aug →
mirage13–80.0030%19 Aug →
dust210–13-0.0624%19 Aug →
mirage5–13-0.0612%19 Aug →
inferno13–6-0.0619%18 Aug →
cache13–7-0.0015%17 Aug →
dust28–130.0417%16 Aug →
mirage9–13-0.0321%16 Aug →
dust26–130.0421%15 Aug →
nuke13–40.0328%14 Aug →
mirage13–10.1330%14 Aug →
nuke8–130.0538%11 Aug →
dust213–7-0.0225%10 Aug →
inferno11–130.0421%7 Aug →
mirage9–13-0.0433%7 Aug →
nuke13–80.0026%5 Aug →
nuke16–120.0419%4 Aug →
inferno13–110.0120%3 Aug →
anubis13–9-0.0010%3 Aug →
inferno14–160.0120%28 Jul →
inferno13–7-0.0315%28 Jul →
nuke13–16-0.0017%23 Jul →
ancient13–100.0419%23 Jul →
anubis14–16-0.0415%22 Jul →
mirage8–13-0.0233%22 Jul →
mirage13–9-0.0225%22 Jul →
mirage15–15-0.0413%22 Jul →
mirage8–13-0.0813%20 Jul →
anubis10–13-0.0322%20 Jul →
inferno13–30.0229%20 Jul →
inferno7–13-0.0120%19 Jul →
anubis13–70.0514%18 Jul →
dust213–70.0221%17 Jul →
dust213–80.0637%17 Jul →
dust213–30.0328%17 Jul →
vertigo10–130.1314%17 Jul →
office7–13-0.0311%17 Jul →
cache6–130.0122%17 Jul →
dust211–13-0.0417%16 Jul →
mirage10–13-0.0017%16 Jul →
mirage13–50.0925%16 Jul →
mirage13–40.0220%16 Jul →
anubis5–130.0015%15 Jul →
cache8–13-0.0229%15 Jul →
nuke4–11-0.0728%14 Jul →
mirage13–100.0127%14 Jul →
mirage13–60.0522%14 Jul →
dust26–130.0024%14 Jul →
dust213–2-0.0313%12 Jul →
anubis16–14-0.0018%11 Jul →
mirage13–9-0.0411%9 Jul →
dust28–40.0441%9 Jul →
nuke7–13-0.0412%9 Jul →
cache13–40.0642%9 Jul →
cache9–130.0521%9 Jul →
mirage13–8-0.0218%9 Jul →
inferno13–80.0831%7 Jul →
office10–13-0.0711%7 Jul →
nuke13–30.0814%6 Jul →
mirage14–160.0110%6 Jul →
dust213–70.0122%4 Jul →
mirage13–10.0717%4 Jul →
mirage6–13-0.0831%3 Jul →
dust213–10-0.0020%2 Jul →
mirage4–13-0.0229%2 Jul →
nuke13–6-0.0229%2 Jul →
ancient15–15-0.0216%1 Jul →
dust212–160.0016%1 Jul →
mirage8–13-0.0215%1 Jul →
train4–130.1725%29 Jun →
inferno13–50.0624%29 Jun →
ancient13–30.1322%29 Jun →
mirage9–130.0124%28 Jun →
dust213–160.0317%26 Jun →
mirage3–13-0.0721%26 Jun →
dust210–13-0.0118%26 Jun →
dust26–130.0617%23 Jun →
mirage5–13-0.0418%22 Jun →
ancient6–130.0815%22 Jun →
anubis16–130.0416%22 Jun →
nuke8–13-0.0516%20 Jun →
inferno15–15-0.0515%20 Jun →
dust25–13-0.0531%20 Jun →
dust216–140.0524%20 Jun →
mirage15–150.0028%19 Jun →
dust213–110.0323%19 Jun →
mirage13–50.0212%19 Jun →
inferno10–13-0.0421%17 Jun →
ancient8–130.0021%16 Jun →
nuke13–80.1726%15 Jun →
dust213–100.0421%15 Jun →
dust213–60.0916%15 Jun →

Match data via Leetify.

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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