PojdNaCajes

PojdNaCajes — CS2 Stats

CZ76561199436085767[U:1:1475820039]Steam profile ↗✓ No bans

1,679Tracked matches55%Win rate2023Tracked since
4,712Hours in CS67Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
FaceitLevel 10 · 1,520 ELOTop 12.4% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,562 -103 26 Mar – 4 Jul · 7 days played
11,56413,562peak 13,56226 Mar4 Jul
13,562Peak Premier in tracked matches
1,520Highest Faceit ELO seen on CSDB
66Days played since 2026-03-10

Faceit ELO

  • At peak — 1,520
  • Next: Level 8 at 1,531 — 11 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches29——
Win rate34%——
K/D0.83——
Headshot %39%——

Measured 6 Sep 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,218), 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 10 median
Headshot rate42.1%50.9%
Shot accuracy2.5%13.8%
Kill/death ratio0.781.09
Match win rate45.5%48.4%

Share this profile

CSDB.GGPojdNaCajesFACEITLevel 10 · 1,520 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,520csdb.gg/stats

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Performance scores

Aim56
Positioning46
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWLTLWWWLWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +1.6pp headshot accuracy · −46ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 523ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 513ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 535ms

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 (+1.2 against its own average).

Aim5.6
Utility4.7
Positioning4.6
Opening Duels1.4
Clutch3.2

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 81% 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

Areas to improve

Reaction time. 550ms 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

Aim5.6
Positioning4.6
Utility4.7
Mechanics5.6
Opening Duels1.4
Win Impact6.7

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time559ms−49ms
first ⅓ avg 607ms → last ⅓ avg 559ms
Headshot accuracy19.4%−1.0%
first ⅓ avg 20.3% → last ⅓ avg 19.4%

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 · 9–2 · inferno, 19 Mar →
100%Best headshot accuracy · 11–1 · dust2, 16 Jul →
344msFastest reaction time · 13–5 · inferno, 27 Jul →
13–1Biggest win · cache, 16 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 57% over 21anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA3218–1456%0.00
infernoA2112–957%-0.00
dust2B158–753%0.00
ancientC146–843%0.01
nukeD62–433%0.02
anubisD61–517%-0.01
cache—41–325%0.01
office—10–10%0.06
overpass—11–0100%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,046Lifetime kills
0.78K/D
3,475Matches
45.5%Match win rate
42.1%Headshot %
2.5%Shot accuracy
6,410MVPs
1,580Hours (in match)
2,506Bombs planted
792Bombs defused

Most-used weapons

AK-4716,608
AWP6,444
MP91,827
Knife1,574
MAC-101,102

Lifetime map wins

5,141dust2
2,563inferno
1,922nuke
662vertigo
526train
90office
30lake
22ar_shoots

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

Faceit stats

Combat

1,861Matches
50%Win rate
1.08Avg K/D
81.5ADR
42%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage65952%1.1716.0
Dust235748%1.0215.1
Ancient26852%1.0616.1
Anubis16448%0.9615.0
Nuke15051%1.0516.6
Inferno15050%0.9915.2
Overpass3636%1.1016.1
Train3450%0.9715.6

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.

18.3%Headshot accuracy
28.8%Accuracy (enemy spotted)
31.9%Spray accuracy
75.4%Counter-strafing
10.2°Preaim
550msReaction time
40.0%T opening success
31.4%CT opening success
0.38Enemies flashed / flash
4.6%Flash assists
8.05HE damage / grenade
11.46Flashes / 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. 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 0.3826 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.3606% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0022%29 Sept →
nuke10–13-0.0318%21 Sept →
mirage12–12-0.0132%20 Sept →
cache1–13-0.068%15 Sept →
mirage13–70.0211%3 Sept →
mirage13–6-0.0228%2 Sept →
anubis19–16-0.0214%1 Sept →
mirage5–13-0.1014%1 Sept →
ancient13–50.0513%18 Aug →
mirage13–70.006%16 Aug →
mirage13–90.0310%14 Aug →
mirage13–80.0022%1 Aug →
anubis8–13-0.0310%1 Aug →
anubis10–130.039%30 Jul →
inferno8–60.0217%28 Jul →
inferno13–5-0.0217%27 Jul →
inferno10–13-0.069%25 Jul →
nuke13–16-0.0117%24 Jul →
mirage16–120.0317%20 Jul →
office9–100.0623%16 Jul →
dust211–10.00100%16 Jul →
dust20–13-0.0423%16 Jul →
cache13–10.0232%16 Jul →
ancient6–130.0217%16 Jul →
mirage13–70.0219%16 Jul →
dust213–9-0.0013%16 Jul →
anubis8–130.0217%15 Jul →
dust216–130.0320%14 Jul →
dust25–13-0.0121%14 Jul →
anubis7–13-0.0410%13 Jul →
mirage13–80.0526%10 Jul →
mirage3–13-0.0321%9 Jul →
dust24–13-0.074%6 Jul →
ancient13–70.0216%5 Jul →
inferno13–90.0121%4 Jul →
inferno10–13-0.0435%4 Jul →
inferno9–130.0224%3 Jul →
mirage19–150.0021%2 Jul →
inferno13–70.0337%2 Jul →
ancient7–13-0.0132%29 Jun →
inferno13–50.0113%29 Jun →
dust27–13-0.0317%28 Jun →
inferno13–4-0.0123%28 Jun →
mirage0–7-0.0425%28 Jun →
dust213–110.0314%24 Jun →
nuke13–40.0317%22 Jun →
mirage8–13-0.0517%20 Jun →
nuke9–130.0817%20 Jun →
inferno0–9-0.14100%14 Jun →
mirage13–70.0010%13 Jun →
mirage6–13-0.0523%12 Jun →
dust213–8-0.0016%5 Jun →
dust210–130.0215%5 Jun →
anubis9–13-0.058%5 Jun →
nuke19–16-0.0312%25 May →
cache8–13-0.0425%23 May →
mirage13–70.0722%22 May →
dust213–100.0324%22 May →
mirage13–8-0.0224%21 May →
cache11–130.1214%19 May →
ancient5–130.0317%19 May →
ancient10–13-0.0012%18 May →
mirage11–13-0.0517%18 May →
inferno13–5-0.0029%17 May →
mirage13–50.0224%16 May →
dust213–10-0.0011%16 May →
overpass13–80.0519%15 May →
mirage17–190.0115%14 May →
ancient11–130.0222%12 May →
ancient13–8-0.0321%4 May →
ancient11–130.006%27 Apr →
mirage6–13-0.0518%25 Apr →
ancient12–140.0629%20 Apr →
inferno9–60.0527%19 Apr →
inferno6–9-0.1019%19 Apr →
inferno9–7-0.017%19 Apr →
ancient4–13-0.0425%11 Apr →
mirage9–13-0.0212%11 Apr →
inferno9–50.0118%11 Apr →
mirage13–40.0524%11 Apr →
inferno5–9-0.0224%8 Apr →
mirage13–70.0217%7 Apr →
mirage13–70.0527%26 Mar →
inferno13–70.0520%26 Mar →
mirage7–130.0229%20 Mar →
nuke10–130.0627%19 Mar →
inferno8–8-0.0210%19 Mar →
inferno8–8-0.0131%19 Mar →
inferno7–90.0010%19 Mar →
inferno9–20.1613%19 Mar →
dust211–130.0921%18 Mar →
mirage9–130.0416%18 Mar →
dust26–130.0029%18 Mar →
ancient13–110.0920%16 Mar →
dust213–6-0.0229%15 Mar →
mirage13–70.0321%14 Mar →
ancient19–17-0.0113%13 Mar →
mirage12–12-0.0029%12 Mar →
mirage13–30.0025%12 Mar →
mirage9–13-0.0019%10 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.