inte is lft

inte is lft — CS2 Stats

KN76561198138265879[U:1:178000151]Steam profile ↗✓ No bans

827Tracked matches47%Win rate2020Tracked since
4,571Hours in CS
CSDB Rating5.6 SolidSupport
FaceitLevel 9 · 2,135 ELOTop 20.7% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 827 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 64 days played since 21 Feb 2024. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 17,719 -2,281 21 Feb16 Nov · 3 days played
16,60420,000peak 20,00021 Feb16 Nov
Faceit ELO: 2,135 +0 28 Aug7 Sept · 6 observations
2,1352,135peak 2,13528 Aug7 Sept
20,000Peak Premier in tracked matches
2,135Highest Faceit ELO seen on CSDB
64Days played since 2024-02-21

Faceit ELO

  • At peak — 2,135
  • Next: 2,500 ELO at 2,500 365 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-28
  • Level 9 first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=12,569), 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 9 medianLevel 10 medianvs Level 10
Headshot rate51.2%48.3%51.0%meets
Shot accuracy17.1%13.2%13.7%above
Kill/death ratio1.071.071.09meets
Match win rate47.6%46.9%48.4%meets

Across every metric we can compare, this profile already matches the typical Level 10 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGinte is lftFACEITLevel 9 · 2,135 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,135csdb.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

Aim74
Positioning43
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY47449Last 10047%Win rateWWLWWLWWLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −12.6pp headshot accuracy · −84ms 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

  • 41 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 581ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 591ms

Last 20

  • 128 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 29%
  • Avg reaction 632ms

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: SupportUtility contribution stands above the rest of this profile (+1.4 against its own average).

Aim7.4
Utility5.2
Positioning4.3
Opening Duels1.8
Clutch3.8

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

device

Plays most like device 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 41% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms 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

Aim7.4
Positioning4.3
Utility5.2
Mechanics7.9
Opening Duels1.4
Win Impact3.9

Composite 5.6/10 (Solid), 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-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time642ms+24ms
first ⅓ avg 618ms → last ⅓ avg 642ms
Headshot accuracy29.0%+1.0%
first ⅓ avg 27.9% → last ⅓ avg 29.0%

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 · 9–0 · nuke, 9 Jun
80%Best headshot accuracy · 9–0 · nuke, 9 Jun
406msFastest reaction time · 13–10 · ancient, 2 Mar
13–1Biggest win · nuke, 5 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
76In matches decided by ≤2 rounds
4Overtime games

Map breakdown

trainBest map · 67% over 9nukeWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
nukeD1961332%0.01
ancientC146843%-0.01
vertigoB147750%0.02
anubisB136746%-0.01
trainS96367%0.01
overpassB84450%0.01
infernoS64267%-0.01
mirage42250%-0.01
dust23030%-0.01
eldorado110100%0.07
cache110100%0.00
sanctum1010%0.04
rooftop1010%0.06
whistle110100%0.05
palais1010%0.04
mills110100%-0.05
thera110100%0.07
memento1010%0.11
assembly110100%0.13

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

171,194Lifetime kills
1.07K/D
6,580Matches
47.6%Match win rate · Top 50% of Level 9 players
51.2%Headshot % · Top 50% of Level 9 players
17.1%Shot accuracy · Top 25% of Level 9 players
24,542MVPs
4,571Hours (in match)
7,532Bombs planted
2,811Bombs defused

Most-used weapons

AK-4754,747
AWP28,008
P2503,936
SSG 083,396
Knife3,323
SG 5532,193

Lifetime map wins

8,936inferno
7,752dust2
4,796nuke
3,584vertigo
2,953train
1,066office
1,033cbble
485assault

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

Faceit stats

Combat

1,171Matches
52%Win rate
1.13Avg K/D
69.3ADR
53%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient8947%0.9614.5
Anubis6447%1.0614.5
Nuke4248%0.9514.4
Mirage3861%1.0015.3
Vertigo3067%0.9715.3
Train2152%1.1414.4
Inferno1850%0.9714.3
Overpass1631%0.8913.8

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.

24.0%Headshot accuracy
31.6%Accuracy (enemy spotted)
34.3%Spray accuracy
85.4%Counter-strafing
9.0°Preaim
626msReaction time
26.1%T opening success
41.3%CT opening success
0.55Enemies flashed / flash
6.6%Flash assists
6.40HE damage / grenade
13.41Flashes / 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 26.0788% — below the 40% mark we flag

Spend your practice time on Nuke

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

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
eldorado9–50.0720%4 Sept
cache13–80.0019%3 Aug
anubis6–13-0.0427%1 Jul
ancient22–180.0323%29 Jun
nuke13–100.0238%23 Jun
ancient8–13-0.0614%23 Jun
inferno13–50.039%23 Jun
anubis13–6-0.0125%10 Jun
nuke4–13-0.0823%10 Jun
anubis7–13-0.0332%10 Jun
anubis13–7-0.0028%9 Jun
anubis13–70.0026%9 Jun
nuke13–50.0121%9 Jun
ancient9–13-0.0615%9 Jun
nuke1–13-0.0732%9 Jun
nuke9–00.3480%9 Jun
anubis13–8-0.0432%13 May
inferno9–7-0.0539%11 May
vertigo5–9-0.0350%11 May
nuke7–90.0433%11 May
nuke8–8-0.1213%8 May
vertigo8–80.0424%5 Apr
nuke7–9-0.0725%6 Feb
overpass13–16-0.0425%27 Jan
sanctum8–80.0431%23 Jan
anubis6–130.0211%14 Jan
anubis11–13-0.0315%12 Jan
nuke6–13-0.0735%2 Jan
overpass7–130.0928%23 Dec
inferno9–40.0137%15 Dec
rooftop3–90.0671%15 Dec
nuke7–9-0.1039%10 Dec
overpass13–11-0.0118%27 Oct
overpass13–80.0739%6 Oct
nuke5–13-0.0313%25 Aug
vertigo5–9-0.0439%20 Aug
train13–6-0.0215%19 Aug
train6–13-0.0528%19 Aug
ancient7–13-0.0439%18 Aug
train13–70.0525%17 Aug
train7–13-0.0623%17 Aug
nuke3–13-0.0416%17 Aug
overpass13–50.0230%17 Aug
ancient13–11-0.0323%6 Aug
overpass13–60.017%6 Aug
nuke13–10.1225%5 Jul
nuke8–130.0735%9 May
ancient10–130.0526%9 May
vertigo8–80.1154%13 Mar
vertigo8–8-0.0137%4 Mar
vertigo9–50.2242%11 Feb
dust217–19-0.0224%8 Feb
ancient10–130.0328%4 Feb
dust24–13-0.0731%3 Feb
mirage8–13-0.0420%1 Feb
nuke9–20.1224%30 Jan
train13–50.0544%30 Jan
ancient9–130.0022%30 Jan
train13–80.0829%23 Jan
anubis4–13-0.0427%19 Jan
mirage13–90.048%13 Jan
inferno7–13-0.0325%13 Jan
mirage1–13-0.0239%12 Jan
ancient13–10-0.0238%12 Jan
inferno8–8-0.0442%21 Dec
whistle9–50.059%21 Dec
palais8–80.0435%14 Dec
train6–13-0.0026%11 Dec
nuke6–13-0.0333%4 Dec
train13–30.0624%17 Nov
train13–4-0.0039%17 Nov
ancient13–100.0226%16 Nov
mills13–2-0.0520%2 Oct
thera13–110.0750%2 Oct
memento8–80.1129%2 Oct
assembly9–40.1350%2 Oct
ancient13–11-0.0234%26 Aug
dust28–130.0535%3 Jun
vertigo8–8-0.1019%2 Jun
vertigo13–9-0.0334%8 Apr
overpass10–13-0.0228%5 Apr
anubis13–90.0139%21 Mar
ancient13–100.0227%2 Mar
inferno13–70.0213%29 Feb
nuke9–13-0.0310%28 Feb
anubis13–40.1015%27 Feb
mirage13–70.0136%27 Feb
overpass11–130.0025%26 Feb
vertigo9–13-0.0126%26 Feb
vertigo16–14-0.0015%25 Feb
ancient9–13-0.0320%23 Feb
vertigo13–8-0.0121%23 Feb
vertigo13–80.0723%23 Feb
vertigo13–100.0833%22 Feb
anubis10–130.0121%22 Feb
nuke6–130.0925%22 Feb
ancient5–13-0.0133%22 Feb
vertigo13–100.0144%22 Feb
nuke13–110.0327%22 Feb
anubis10–13-0.0221%21 Feb

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →