pawN

pawN — CS2 Stats

NL76561198257597349[U:1:297331621]Steam profile ↗✓ No bans

1,525Tracked matches57%Win rate2020Tracked since
12,873Hours in CS
CSDB Rating5.6 SolidSupport
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

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

0Faceit ELO · 2,086 → 2,086
0Tracked matches · now 1,525
−3.3ppWin rate · 60.0% → 56.7%
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. 78 days played since 25 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: 18,895 +2,200 20 May16 Nov · 5 days played
15,50718,895peak 18,89520 May16 Nov
Faceit ELO: 2,086 +0 28 Aug10 Sept · 5 observations
2,0862,086peak 2,08628 Aug10 Sept
18,895Peak Premier in tracked matches
2,086Highest Faceit ELO seen on CSDB
78Days played since 2024-02-25

Faceit ELO

  • At peak — 2,086
  • Next: 2,500 ELO at 2,500 414 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.

Compare periods

Last 7 days vs previous 7

No matches recorded between 10 Sep 2026 and 17 Sep 2026.

Measured 10 Sep 202617 Sep 2026; previous 2 Sep 2026 → 10 Sep 2026.

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.

Share this profile

CSDB.GGpawNPEAK ELO2,086csdb.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

Aim59
Positioning54
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY48484Last 10048%Win rateLLLWWLLWWL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −4.0pp headshot accuracy · −191ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 391ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 436ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 532ms

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).

Aim5.9
Utility6.2
Positioning5.4
Opening Duels3.3
Clutch4.4

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 78% 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. 567ms 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

Aim5.9
Positioning5.4
Utility6.2
Mechanics5.7
Opening Duels2.9
Win Impact7.2

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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time564ms−76ms
first ⅓ avg 639ms → last ⅓ avg 564ms
Headshot accuracy16.3%−7.1%
first ⅓ avg 23.4% → last ⅓ avg 16.3%

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

0.13Best match rating · 9–4 · inferno, 21 Oct
50%Best headshot accuracy · 4–9 · rooftop, 4 Nov
359msFastest reaction time · 6–13 · cache, 10 Aug
13–2Biggest win · ancient, 15 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
149In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 83% over 6trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
ancientB28131546%-0.01
nukeS1813572%-0.01
anubisA116555%0.00
cacheC73443%-0.05
infernoS65183%0.05
overpassB63350%0.00
trainD51420%-0.01
vertigoD51420%-0.07
rooftop41325%-0.00
mirage31233%-0.01
dust231233%-0.02
dogtown1010%0.09
brewery1010%-0.13
assembly1010%-0.10
memento1010%0.04

Across the last 100 tracked matches.

Lifetime stats

219,901Lifetime kills
0.89K/D
6,110Matches
45.1%Match win rate · Top 50% of tracked players
53.9%Headshot % · Top 25% of tracked players
17.7%Shot accuracy · Top 25% of tracked players
27,365MVPs
12,873Hours (in match)
5,833Bombs planted
4,679Bombs defused

Most-used weapons

AK-4786,458
AWP31,930
Glock-1810,060
AUG4,909
Knife3,772
MAC-102,621

Lifetime map wins

18,457inferno
12,661vertigo
10,074nuke
9,790dust2
5,129train
249cbble
181office
137lake

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

Faceit stats

Combat

1,962Matches
51%Win rate
1.03Avg K/D
68.7ADR
49%Headshot %

Clutches & streaks

42%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient14849%1.0114.4
Nuke7871%1.0214.0
Anubis6045%0.8813.8
Overpass4240%0.9513.8
Vertigo3647%0.9415.6
Inferno2548%0.8914.4
Mirage2540%0.8913.0
Train1612%0.8213.2

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.

16.9%Headshot accuracy
29.9%Accuracy (enemy spotted)
35.3%Spray accuracy
75.8%Counter-strafing
9.8°Preaim
567msReaction time
35.2%T opening success
47.6%CT opening success
0.66Enemies flashed / flash
17.3%Flash assists
5.92HE damage / grenade
9.11Flashes / 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 35.2201% — below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient11–130.0112%5 Sept
ancient14–16-0.088%4 Sept
cache0–10.000%3 Sept
inferno13–80.0315%2 Sept
anubis13–100.0717%19 Aug
cache8–13-0.0215%17 Aug
nuke8–13-0.0424%17 Aug
ancient13–11-0.0211%12 Aug
ancient16–130.0026%10 Aug
cache6–13-0.0915%10 Aug
cache13–10-0.0421%10 Aug
nuke13–9-0.0319%5 Aug
nuke13–40.0414%5 Aug
cache13–8-0.0721%3 Aug
ancient13–50.0310%29 Jul
ancient6–13-0.0014%27 Jul
nuke9–13-0.0721%23 Jul
anubis13–110.0120%20 Jul
ancient13–60.0328%20 Jul
ancient10–13-0.0415%18 Jul
cache4–13-0.0318%17 Jul
nuke13–110.0027%15 Jul
ancient13–20.0515%15 Jul
ancient6–13-0.0322%13 Jul
cache13–6-0.085%13 Jul
mirage2–13-0.067%5 Jul
overpass3–13-0.0214%2 Jul
ancient16–120.0019%29 Jun
ancient22–18-0.0122%29 Jun
anubis22–20-0.0410%27 Jun
nuke5–00.0422%30 May
ancient8–13-0.0315%25 Apr
overpass13–100.0718%25 Mar
ancient8–130.0321%16 Mar
anubis10–13-0.0021%2 Feb
ancient2–13-0.0913%15 Jan
anubis13–11-0.0317%12 Jan
nuke15–19-0.0421%11 Jan
anubis13–100.0224%10 Jan
nuke13–11-0.0416%2 Jan
dust213–8-0.0330%2 Jan
train6–13-0.0015%31 Dec
train9–13-0.0424%31 Dec
ancient11–13-0.0122%29 Dec
nuke13–5-0.0034%28 Dec
overpass7–13-0.0919%23 Dec
nuke13–110.0018%18 Dec
ancient8–130.0317%15 Dec
ancient19–170.0115%4 Dec
dust24–13-0.0733%27 Nov
rooftop9–50.1020%25 Nov
inferno9–70.1124%25 Nov
nuke13–100.0118%21 Nov
ancient19–16-0.0220%21 Nov
ancient13–9-0.0212%19 Nov
inferno6–130.049%11 Nov
rooftop5–9-0.0342%8 Nov
rooftop4–9-0.0450%4 Nov
inferno9–40.1320%21 Oct
rooftop6–9-0.0426%13 Oct
ancient13–70.0115%29 Sept
mirage13–8-0.049%28 Sept
ancient8–13-0.0724%21 Sept
dogtown7–90.0916%14 Sept
train13–60.0117%19 Aug
train6–13-0.0125%19 Aug
train7–130.0124%17 Aug
nuke3–130.0115%17 Aug
overpass13–50.0016%17 Aug
ancient6–13-0.0123%7 Aug
vertigo8–8-0.0122%4 Aug
vertigo4–9-0.1019%16 Jul
brewery6–9-0.1312%16 Jul
inferno9–7-0.0322%15 Jul
overpass13–110.1017%22 May
nuke8–13-0.0723%9 May
nuke16–12-0.0116%15 Mar
dust217–190.0326%8 Feb
ancient13–10-0.0828%16 Nov
nuke16–140.0020%10 Nov
anubis13–11-0.0313%10 Nov
ancient13–80.1220%7 Oct
nuke13–80.0137%14 Sept
nuke13–50.0228%12 Sept
mirage9–130.0834%25 Aug
ancient9–13-0.0627%18 Jul
vertigo2–9-0.2024%7 Jul
inferno9–40.0336%7 Jul
overpass8–8-0.0516%7 Jul
assembly8–8-0.1038%7 Jul
memento8–80.0421%7 Jul
anubis11–130.0126%29 Jun
anubis7–13-0.0328%27 May
vertigo13–11-0.0228%20 May
anubis9–130.0424%18 May
ancient11–13-0.0128%3 Mar
nuke13–80.0626%3 Mar
ancient10–13-0.0317%2 Mar
vertigo9–13-0.0120%26 Feb
anubis11–130.0222%25 Feb

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →