☆❀Proincs♡☆

☆❀Proincs♡☆ — CS2 Stats

76561198039542869[U:1:79277141]Steam profile ↗✓ No bans

2,605Tracked matches44%Win rate2020Tracked since
5,549Hours in CS3Hrs last 2 wks
CSDB Rating2.3 LearningClutch Specialist
Premier CS Rating2,624Grey band · top ~88.9% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 2,624 +440 4 Jun – 22 Sept · 7 days played
1,7062,624peak 2,6244 Jun22 Sept
2,624Peak Premier in tracked matches
39Days played since 2026-05-29

Premier CS Rating

  • At peak — 2,624
  • +918 over 90 days
  • Next: Light Blue band at 5,000 — 2,376 to go

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

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,923), 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 2 medianLevel 3 medianvs Level 3
Headshot rate35.6%41.3%41.8%6.2% short
Shot accuracy11.2%12.7%12.2%1.0% short
Kill/death ratio0.700.950.980.27 short
Match win rate39.9%42.6%43.3%3.4% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG☆❀Proincs♡☆FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER2,624 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim12
Positioning45
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateWLWLLWWLWW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · +3.1pp headshot accuracy · +52ms reaction

Win rate up 50pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 14%
  • Avg reaction 650ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 701ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 675ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.7 against its own average).

Aim1.2
Utility4.7
Positioning4.5
Opening Duels2.0
Clutch6.0

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 53% 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. 691ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 54% 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

Aim1.2
Positioning4.5
Utility4.7
Mechanics0.8
Opening Duels1.8
Win Impact3.1

Composite 2.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time681ms−68ms
first ⅓ avg 749ms → last ⅓ avg 681ms
Headshot accuracy14.0%+3.1%
first ⅓ avg 10.9% → last ⅓ avg 14.0%

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.

Personal bests

0.34Best match rating · 9–1 · eldorado, 12 Jul →
31%Best headshot accuracy · 13–5 · cache, 12 Sept →
438msFastest reaction time · 3–13 · ancient, 26 Jul →
13–0Biggest win · train, 10 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 71% over 14ancientWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
vertigoA1811–761%-0.03
cacheS1410–471%-0.03
trainC114–736%-0.04
ancientD112–918%-0.06
anubisC104–640%-0.03
infernoD103–730%-0.02
overpassB84–450%-0.05
nukeC83–538%-0.04
dust2—31–233%-0.04
shelter—22–0100%0.04
mirage—20–20%-0.05
eldorado—11–0100%0.34
debris—11–0100%0.31
boulder—11–0100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

96,505Lifetime kills
0.70K/D
7,243Matches
39.9%Match win rate
35.6%Headshot %
11.2%Shot accuracy
11,331MVPs
2,994Hours (in match)
11,344Bombs planted
1,691Bombs defused

Most-used weapons

AK-4726,827
MP95,093
P904,903
FAMAS4,741
AWP3,672
MAC-103,490

Lifetime map wins

12,278inferno
8,670nuke
5,343dust2
4,158train
3,985vertigo
226cbble
206office
205lake

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

Faceit stats

Combat

10Matches
30%Win rate
0.73Avg K/D
55.0ADR
38%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.628.0
Nuke1100%1.3811.0
Ancient10%0.204.0
Dust21100%0.6111.0
Inferno10%0.5010.0

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.

14.5%Headshot accuracy
26.4%Accuracy (enemy spotted)
26.4%Spray accuracy
53.7%Counter-strafing
13.0°Preaim
691msReaction time
31.7%T opening success
42.7%CT opening success
0.54Enemies flashed / flash
9.5%Flash assists
16.29HE damage / grenade
6.84Flashes / 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 13.007° — 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 14.453% — below the 15% 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.

18% 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
cache13–6-0.1010%9 Oct →
overpass10–13-0.0918%3 Oct →
vertigo13–8-0.0711%3 Oct →
train10–13-0.0716%2 Oct →
vertigo9–13-0.0616%2 Oct →
cache13–50.017%24 Sept →
vertigo13–100.0020%24 Sept →
anubis10–130.0022%23 Sept →
inferno13–70.0823%22 Sept →
cache13–10.038%22 Sept →
vertigo10–13-0.059%22 Sept →
anubis2–13-0.080%18 Sept →
ancient4–13-0.0714%18 Sept →
inferno1–13-0.0728%18 Sept →
train2–130.009%18 Sept →
nuke9–60.015%13 Sept →
inferno12–12-0.0210%13 Sept →
cache3–13-0.0612%13 Sept →
vertigo5–13-0.0417%13 Sept →
inferno0–6-0.0617%12 Sept →
cache13–50.0231%12 Sept →
vertigo4–13-0.128%12 Sept →
overpass13–11-0.0322%6 Sept →
vertigo11–13-0.0114%6 Sept →
anubis10–13-0.0110%5 Sept →
overpass12–120.0023%26 Aug →
vertigo13–90.0111%26 Aug →
overpass13–6-0.067%24 Aug →
train12–12-0.077%24 Aug →
vertigo13–5-0.0312%24 Aug →
overpass13–10-0.0516%22 Aug →
train2–13-0.0317%22 Aug →
vertigo13–4-0.0213%22 Aug →
inferno13–8-0.0121%16 Aug →
inferno9–130.013%16 Aug →
nuke8–13-0.064%16 Aug →
vertigo13–11-0.0211%15 Aug →
overpass6–130.009%15 Aug →
train11–13-0.0613%15 Aug →
inferno4–13-0.0718%12 Aug →
vertigo13–40.0013%11 Aug →
overpass7–4-0.0525%10 Aug →
train13–00.0112%10 Aug →
vertigo12–120.0118%10 Aug →
vertigo13–4-0.100%30 Jul →
nuke5–13-0.0714%29 Jul →
ancient3–13-0.1214%29 Jul →
anubis11–13-0.0618%29 Jul →
anubis16–14-0.0510%27 Jul →
vertigo13–8-0.0310%27 Jul →
ancient3–13-0.0612%26 Jul →
ancient15–15-0.0813%23 Jul →
dust24–13-0.0515%23 Jul →
cache13–10-0.079%23 Jul →
cache7–130.027%23 Jul →
inferno7–13-0.0217%20 Jul →
anubis13–7-0.0112%20 Jul →
ancient13–10-0.0211%20 Jul →
cache13–6-0.0516%20 Jul →
train13–7-0.0418%20 Jul →
overpass3–13-0.1015%20 Jul →
cache12–12-0.1018%17 Jul →
vertigo13–9-0.0310%17 Jul →
train13–10-0.036%17 Jul →
train11–13-0.0513%13 Jul →
shelter12–8-0.0217%13 Jul →
eldorado9–10.3419%12 Jul →
debris9–10.319%12 Jul →
dust27–13-0.052%12 Jul →
anubis6–13-0.093%11 Jul →
cache16–13-0.0112%11 Jul →
ancient2–13-0.058%11 Jul →
ancient2–13-0.056%10 Jul →
cache7–13-0.0216%10 Jul →
nuke13–4-0.006%10 Jul →
inferno13–11-0.0316%10 Jul →
anubis9–13-0.0615%10 Jul →
shelter13–90.1111%9 Jul →
boulder13–3-0.038%9 Jul →
nuke13–11-0.096%8 Jul →
cache13–5-0.0513%8 Jul →
train8–13-0.0217%8 Jul →
vertigo13–11-0.0316%8 Jul →
anubis13–10.0123%6 Jul →
nuke6–13-0.049%6 Jul →
ancient13–11-0.038%6 Jul →
mirage4–13-0.0219%6 Jul →
nuke3–13-0.0411%21 Jun →
ancient11–13-0.0211%19 Jun →
ancient10–13-0.075%12 Jun →
cache13–9-0.028%12 Jun →
inferno10–13-0.0011%10 Jun →
nuke8–130.0116%10 Jun →
ancient6–13-0.0513%10 Jun →
train4–3-0.079%10 Jun →
vertigo6–13-0.027%10 Jun →
cache13–60.0210%10 Jun →
mirage5–13-0.0812%4 Jun →
anubis13–20.008%4 Jun →
dust213–9-0.0114%29 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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