priMa2k

priMa2k — CS2 Stats

76561197961138028[U:1:872300]Steam profile ↗VAC banned

573Tracked matches43%Win rate2020Tracked since
CSDB Rating4.6 DevelopingPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 11,545 -1,616 7 Mar – 25 Apr · 7 days played
11,54513,325peak 13,3257 Mar25 Apr
13,580Peak Premier in tracked matches
38Days played since 2025-03-07

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

Performance scores

Aim52
Positioning54
Utility40

0–100 skill scores via Leetify.

Recent form

COLD41–56–3Last 10041%Win rateLWWLLLLLWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +1.5pp headshot accuracy · −47ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 595ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 527ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 551ms

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 (+2.2 against its own average).

Aim5.2
Utility4.0
Positioning5.4
Opening Duels3.5
Clutch0.0

Limited 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

jL

Plays most like jL 81% 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

Reaction time. 552ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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
Positioning5.4
Utility4.0
Mechanics4.4
Opening Duels3.7
Win Impact2.8

Composite 4.6/10 (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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time564ms−46ms
first ⅓ avg 610ms → last ⅓ avg 564ms
Headshot accuracy16.2%+1.8%
first ⅓ avg 14.4% → last ⅓ avg 16.2%

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

0.16Best match rating · 9–1 · nuke, 5 Sept →
28%Best headshot accuracy · 11–13 · cache_b, 4 Feb →
352msFastest reaction time · 13–7 · ancient, 14 Aug →
13–1Biggest win · dust2, 20 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–12In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 60% over 5mirageWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
nukeC2610–1638%0.00
dust2B2312–1152%-0.01
infernoC156–940%-0.02
ancientA116–555%-0.01
mirageD81–713%-0.02
anubisA53–260%-0.06
cache_bD51–420%-0.04
cache—21–150%-0.02
vertigo—21–150%-0.08
overpass—20–20%-0.02
palais—10–10%-0.11

Across the last 100 tracked matches.

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

Faceit stats

Combat

25Matches
44%Win rate
0.79Avg K/D
63.9ADR
49%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo425%0.538.8
Nuke425%0.7613.8
Dust22100%0.7812.0
Inferno20%0.6811.5
Overpass10%0.447.0
Mirage10%1.3619.0

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.

16.0%Headshot accuracy
29.5%Accuracy (enemy spotted)
30.4%Spray accuracy
70.0%Counter-strafing
9.3°Preaim
552msReaction time
48.5%T opening success
41.0%CT opening success
0.56Enemies flashed / flash
2.7%Flash assists
7.87HE damage / grenade
4.52Flashes / match

Recommended for you

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.

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–13-0.0213%11 Sept →
inferno13–8-0.0115%11 Sept →
nuke9–10.1621%5 Sept →
inferno9–13-0.0218%4 Sept →
dust21–6-0.0413%4 Sept →
nuke6–13-0.0223%17 Aug →
cache5–13-0.0221%15 Aug →
dust210–13-0.0128%15 Aug →
ancient13–70.0811%14 Aug →
nuke8–13-0.0515%14 Aug →
inferno5–130.0215%14 Aug →
dust213–11-0.0324%11 Aug →
nuke9–130.0116%11 Aug →
ancient8–13-0.0319%7 Aug →
mirage7–13-0.0315%7 Aug →
inferno7–13-0.0626%6 Aug →
nuke9–130.0115%3 Jul →
nuke13–90.086%12 Jun →
nuke11–13-0.0310%22 May →
ancient13–4-0.0217%13 May →
cache13–9-0.0212%13 May →
dust213–110.0418%8 May →
nuke14–16-0.0216%24 Apr →
vertigo13–6-0.0315%20 Apr →
dust213–10.0011%20 Apr →
ancient13–11-0.0415%10 Apr →
anubis13–4-0.057%10 Apr →
dust213–50.0118%10 Apr →
mirage14–16-0.0416%5 Apr →
nuke13–20.1017%5 Apr →
mirage14–16-0.0014%28 Feb →
dust26–13-0.0622%28 Feb →
dust28–13-0.0316%28 Feb →
ancient10–13-0.0715%28 Feb →
anubis2–13-0.0812%28 Feb →
cache_b10–13-0.0118%20 Feb →
ancient13–9-0.0415%20 Feb →
inferno1–13-0.0321%20 Feb →
mirage7–13-0.049%19 Feb →
anubis13–10-0.0313%19 Feb →
inferno13–30.0411%19 Feb →
overpass9–13-0.0214%13 Feb →
cache_b2–13-0.0710%13 Feb →
nuke7–130.005%13 Feb →
mirage14–16-0.037%13 Feb →
dust28–13-0.0813%12 Feb →
nuke5–9-0.0619%12 Feb →
dust29–13-0.0612%6 Feb →
cache_b11–13-0.0628%4 Feb →
dust213–6-0.0423%4 Feb →
inferno5–13-0.0712%4 Feb →
nuke13–8-0.036%29 Jan →
cache_b13–10-0.0323%29 Jan →
inferno11–13-0.0616%29 Jan →
cache_b13–16-0.0316%29 Dec →
nuke14–16-0.0911%29 Dec →
dust213–110.0414%29 Dec →
mirage5–13-0.0519%10 Oct →
dust213–20.0821%10 Oct →
nuke13–60.1016%10 Oct →
inferno9–60.0115%10 Oct →
vertigo4–9-0.1215%10 Oct →
nuke13–11-0.0316%10 Oct →
nuke7–13-0.038%12 Sept →
dust20–13-0.113%12 Sept →
dust213–16-0.0118%20 Aug →
dust210–130.0119%20 Aug →
nuke6–130.009%25 Apr →
dust213–10-0.0323%25 Apr →
nuke8–13-0.038%11 Apr →
inferno9–00.019%11 Apr →
dust213–80.0221%11 Apr →
dust211–13-0.0414%4 Apr →
nuke10–13-0.037%4 Apr →
inferno9–6-0.029%4 Apr →
palais4–9-0.1117%4 Apr →
mirage8–130.0021%22 Mar →
nuke13–6-0.0121%22 Mar →
ancient13–50.0316%22 Mar →
inferno13–60.0218%22 Mar →
dust213–80.0625%22 Mar →
inferno8–8-0.0221%22 Mar →
dust211–13-0.0716%14 Mar →
ancient7–13-0.0412%14 Mar →
nuke13–16-0.069%14 Mar →
mirage13–11-0.0113%14 Mar →
anubis11–13-0.0713%14 Mar →
dust213–6-0.0318%14 Mar →
ancient13–9-0.0115%14 Mar →
nuke6–13-0.0216%14 Mar →
inferno13–16-0.0810%12 Mar →
ancient15–15-0.0310%12 Mar →
inferno5–13-0.0312%11 Mar →
nuke12–00.0318%11 Mar →
ancient15–15-0.0012%7 Mar →
dust213–40.0414%7 Mar →
anubis13–2-0.076%7 Mar →
nuke13–60.0919%7 Mar →
overpass7–9-0.0311%7 Mar →
nuke9–70.0213%7 Mar →

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 →

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